Data Annotation Job Review

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...artificial intelligence models. Known as data annotation, the work involves labeling and... A doctor, for example, might review how an AI model answers...they're capable of doing a job as well as a human...last refuge in a brutal job market that is harder to...expertise for AI data training is becoming the new bridge job. "[AI] training...Labor Statistics. According to online job postings, AI training gigs start...

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... communities for AI training (RLHF, data labeling, AI feedback). Maintained by... on AI training roles (RLHF, data annotation, AI feedback). It helps subject-matter... job, adhere to all the guidelines, and be responsive. You have to review... does not count as a review. You have read and understood ...

... Seller Support doing the job of Merchant InBound Coaching? By...generated by "We completed our review and confirmed that the carrier... date. Based on our review, please submit your dispute via...Case ID 19764595781 for detailed annotation. Timeline: - Delivery Window: March...problem." To learn more, please review Send to Amazon: Delivery Window... problem exists using multiple data points. The defect has been...

... parsers already split the job into key fields and line ...baseline Why this baseline Labels / data needed Cheapest first experiment Most ... PDFs. Very little labeled data at first. Often enough to ...more than labeled headers. Focus annotation on row grouping and numeric ...outputs: valid totals, valid rows, review rate. Great parse text but ...sample invoices and manual error review. Try on 100 digital PDFs....

... plus multilingual… it’s a job single models struggle with. Especially...type, send low-confidence cases to review. That design matches both the ...irregular text, tables, and key-information annotation. Its export flow produces both ...best. (Hugging Face) PPOCRLabel / PaddleX annotation docs for bootstrapping labeled crops ...datasets to calibrate expectations about data size and writer diversity. Bottom ...

...dragon's cognitive profile, file the data for the report she would ...way that would survive peer review, if the reviewer could get ...there. Score: 91.7. The annotation read: Exceptional complementary sharpening dynamic. ... private conclusions with better data. She tore her eyes away. ...settlement for general romantic baseline data — I do this with most ...was for. This was the job she should have been given ...

...dragon's cognitive profile, file the data for the report she would ...way that would survive peer review, if the reviewer could get ...there. Score: 91.7. The annotation read: Exceptional complementary sharpening dynamic. ... private conclusions with better data. She tore her eyes away. ...settlement for general romantic baseline data — I do this with most ...was for. This was the job she should have been given ...

...Explosive Growth from AI: A Review of the Arguments   A Modern... action in response to job displacement could force redistributive policies ... also insulate against potential job losses Export Strategies Automation poses ...categories of tradeable digital services (data labelling/annotation, content moderation and other sectors... the informal economy Widespread job displacement in routine tasks could ...

Most people trying to get into remote work focus only on coding, graphic design, or virtual assistant jobs. But one of the fastest-growing online skills right now is Data Annotation. Data annotation is the process of labeling and organizing data used to train AI systems. Every AI tool — from chatbots to self-driving technology — depends on human annotators behind the scenes. Why many people are learning it: • Beginner-friendly compared to many tech roles • Remote and flexible • No degree required for many entry-level projects • Growing demand due to AI expansion • Can become a gateway into AI and tech-related work Some common tasks include: - Image labeling - Text categorization - Audio transcription - Content review - AI response evaluation A few things many beginners don’t realize: Consistency matters more than speed Good internet and a laptop improve opportunities Verification processes are common on platforms Attention to detail is what gets people retained on projects Because many people ask how to start, we’re organizing a beginner-focused online Data Annotation training session. Training details: • 1 week online class • Daily sessions (1hr–1hr 30min) • Beginner guidance + practical workflow • WhatsApp support group after enrollment Requirements: - Commitment to attend sessions - Laptop preferred - Stable internet/WiFi access - Access to verification documents if needed - Proxy access is a plus If interested, fill out the registration form below and shortlisted participants will receive further details. submitted by /u/techbro_2i to r/nairobitechies [link] [comments]

micro1 is hiring a Data Annotator to help improve next-generation AI systems through evaluation, ranking, and annotation tasks. Type: Contract Location: Remote Pay: Upto $98 per/hr What you’ll do: • Review, rank, and evaluate AI-generated responses • Annotate data using structured evaluation rubrics • Identify errors, edge cases, and AI response weaknesses What you should have: • Native or near-native English proficiency • Strong writing, analytical, and critical thinking skills • Daily experience using AI tools like ChatGPT or GPT platforms Preferred experience: Data annotation, prompt engineering, or AI training experience is a plus. Apply now - https://jobs.micro1.ai/data-annotator Ideal for detail-oriented professionals interested in AI evaluation and content quality workflows. (Disclosure: Sharing as an independent member of the micro1 referral program) submitted by /u/mkithan to r/WFHJobs [link] [comments]

Remote AI training opportunities are opening for people with strong communication skills, attention to detail, and the ability to adapt quickly. You do not need prior AI experience for this role. The main value is your ability to follow instructions, think clearly, provide useful feedback, and bring real-world experience into AI training tasks. This may be a good fit if you can: follow detailed instructions learn new workflows quickly stay organized type accurately communicate clearly manage changing tasks without getting overwhelmed What you’d actually be doing: Providing feedback to help improve AI systems Reviewing or contributing real-world information Completing tasks that require accuracy and attention to detail Communicating clearly in writing Adapting to changing project instructions Managing multiple tasks in a remote environment This is for you if: You have strong English writing and communication skills You can multitask without getting messy You are organized and detail-oriented You type quickly and accurately You are comfortable learning new tools or workflows You can work independently without someone checking on you every five minutes Important to understand: This role is part of an AI training and evaluation environment. That means: You may help AI systems learn from real-world examples You may review content, provide feedback, or complete structured tasks Accuracy, consistency, and clear communication matter a lot This is not passive work. They are looking for people who can think, follow directions, and stay reliable. Interview process: Application and profile review Skills-based or AI-based assessment They are looking for people who are sharp, adaptable, and consistent. Potential related roles currently open: Travel / Hospitality Specialist Manufacturing / Industrial Specialist Energy / Utilities Specialist Real Estate Specialist Education Specialist Business Operations Specialist Public Sector Specialist If you’re not sure which one fits your background, drop your experience below and I’ll tell you straight. How to apply: https://jobs.micro1.ai/post/9965a7de-47ed-47a4-8feb-f0f2431d656e?referralCode=aec11bdd-da1f-451c-abfe-0137e4f30c20&utm_source=referral&utm_medium=share&utm_campaign=job_referral Keeping it transparent: I’m not a recruiter, but I do have a referral link for this opportunity. If someone applies through my link and gets hired, I may receive a referral bonus. So yes, it is in my best interest to help point the right people toward the right roles. submitted by /u/Saquarius-CS to r/remotejobsfinders [link] [comments]

Many people who start looking into AI training or data annotation eventually hear about Clickworker. It’s one of the oldest microtask platforms where contributors can complete small online tasks such as: • data labeling and categorization • short writing or text tasks • search evaluation • surveys and simple research Some of these tasks are also used to help build datasets that train machine-learning models. The platform works as a crowdsourcing marketplace, where companies break larger projects into small tasks completed by a global community of workers. (Swift Salary) Full review here 👇 https://www.aitrainingjobs.it/clickworker-review-ai-training-jobs-microtasks-how-it-works-2026/ If you've worked on Clickworker or similar platforms, I'd love to hear your experience. submitted by /u/No-Impress-8446 to r/AiTraining_Annotation [link] [comments]

I’m sharing this as a work-in-progress / demo rather than a definitive guide. I’ve collected publicly available payment information for AI training and data annotation platforms, plus a bit of personal experience (Merco, TransPerfect, Invisible, Gloz). Many companies don’t publish clear payout details, so this list is based only on what can be verified publicly. Complete guide and open jobs: https://www.aitrainingjobs.it/how-ai-training-data-annotation-companies-pay-contractors-2026/ - r/AiTraining_Annotation If you’ve worked with any of these platforms and have first-hand, verifiable info (payment method, frequency, delays, changes over time), feel free to comment and help improve it. Corrections, updates, and additional sources are very welcome — the goal is to make this more accurate and useful over time. Merco(r) • Methods: Stripe Express, Wise • Frequency: Weekly • How: Tracked hours → approval → automatic payout Micro1 • Methods: Direct bank transfer (payroll-style) • Frequency: Bi-monthly • How: Approved work paid on fixed pay cycles Braintrust • Methods: Bank transfer (via invoicing, e.g. Wise) • Frequency: After client pays invoice • How: Invoice → client payment → release to contractor DataAnnotation. tech • Methods: PayPal • Frequency: On withdrawal • How: Task approval → manual withdrawal Clickworker • Methods: PayPal, Payoneer, bank transfer • Frequency: Weekly (most methods) • How: Approved earnings → automatic payout Remotasks • Methods: PayPal, AirTM • Frequency: Weekly • How: Task approval → weekly payout OneForma • Methods: PayPal, Payoneer • Frequency: Monthly (most projects) • How: Approved work paid during cycle Toloka • Methods: PayPal, Payoneer, regional options • Frequency: Anytime after approval • How: Task approval → withdraw anytime Prolific • Methods: PayPal • Frequency: After study approval + threshold • How: Study approval → withdrawal Welocalize • Methods: Hyperwallet • Frequency: Project-dependent • How: Paid into Hyperwallet → withdraw locally RWS • Methods: Bank transfer (invoice) • Frequency: ~Net 30 • How: Invoice-based freelancer payouts Appen (CrowdGen) • Methods: PayPal, Payoneer, bank, Airtm • Frequency: Project-dependent • How: Approved work → withdraw via selected method Outlier AI • Methods: PayPal, AirTM, ACH • Frequency: Weekly • How: Approved work → automatic weekly payout TELUS International AI • Methods: Hyperwallet • Frequency: Program-dependent • How: Paid to Hyperwallet → local withdrawal SME Careers • Methods: Deel • Frequency: Weekly • How: Approved expert work → Deel payout SuperAnnotate • Methods: Not publicly specified • Frequency: Not publicly specified • How: Pay model (hourly / per task) shown before accepting project Handshake (AI programs) • Methods: Internal payout system • Frequency: Recurring (weekly window) • How: Approved work → payout account TransPerfect (DataForce) • Methods: PayPal, wire, check, gift cards, WU • Frequency: After QA (remote) / immediate (onsite) • How: QA approval → payment processing Gloz • Methods: Payoneer, wire, ACH • Frequency: Monthly (invoice-based) • How: Invoice via platform → scheduled payout Mindrift • Methods: Not publicly listed • Frequency: After review • How: Tasks paid via internal unit system Invisible Technologies • Methods: Wise • Frequency: Twice per month • How: Tasks/hours → SOW → bi-monthly payout Excluded (no public payout docs): Scale AI, iMerit, LXT AI, Lionbridge, Innodata, Alignerr, Abaka AI, Stellar AI, Cohere, Perplexity AI, xAI submitted by /u/No-Impress-8446 to r/AiTraining_Annotation [link] [comments]

Not sure how to go about asking this. Has anyone heard of Data Annotation job? From what I can understand you dedicate a few hours to help answer some of their AI work and what not. So far I seen it seems legit but whether you qualify or not is a different story. It's definitely not something for full time (low pay) but seems ok if you do have time. Can't do Grabdriver so I'm looking for alternatives. What I am planning is having something to do remotely part time after work or weekend. It's fine if the pay is low but if I can get about RM50-100 per month that would be good enough. So my questions are: Is it safe? Which company to best apply for? I seen a lot of them but their reviews were here and there. Can I do it mainly on the weekend for some extra beer money? Any idea on setting up a bank account for the deposit? Preferably Wise and how should I go about it. Please share your experience with it. submitted by /u/JiN88reddit to r/MalaysianPF [link] [comments]

I track remote AI jobs weekly. What's different this week: AI hiring is moving into the physical world. Self-driving cars, banking workflows, sales pipeline simulations, computational math, and vocal pitch training. These are not text-labeling gigs. Sharing 8 that stood out. All links go to company pages · Pay included where available · These all appear open right now Top-Paying / Domain Expertise UK-based Data Scientists — Mercor Remote (UK) — $130–$170/hr https://t.mercor.com/2wpAL 5+ years experience, ideally with big tech (Mag7) backgrounds. Must be currently based in the UK. Why it's interesting: $170/hr without a consulting firm in between. AI labs are paying this rate because they need people who have actually built and shipped at scale — not people who can describe it on a resume. If you have worked at or near Meta, Google, or similar and are UK-based, this is the kind of rate that usually requires an intermediary. Here, it does not. Sales Consultant — Mercor Remote (Worldwide) — $50–$90/hr https://t.mercor.com/rgtm1 Build a realistic digital workspace — Drive folders, account plans, pitch decks, email threads, Slack channels — then design multi-step tasks that challenge AI agents navigating it. Why it's interesting: This is not a sales job. It is a simulation design job. Your messy, real-world enterprise sales workflow is the product. You are building the obstacle course that frontier AI agents have to pass. If you have done enterprise sales and know what a real pipeline actually looks like — not the textbook version — that knowledge is now directly valuable to AI research. Real-World AI Testing AI Banking Workflow Tester — Sydneys Secret Remote (US and Germany) — $45/label https://app.opentrain.ai/job-detail/cmp0yzryn002504kvzt03xmqu Run small test transactions on your own credit card, then compare what happened against what the AI predicted. Review and correct AI answers to common banking questions. Why it's interesting: This is genuinely unusual. The reason it pays well is obvious: it requires someone with a real, active bank account willing to ground-truth AI against actual financial data. That is a trust barrier most companies cannot automate around. If you are comfortable running small test transactions and documenting what the AI gets wrong, this is one of the more novel roles in the market right now. Driving Scene Caption Analyst — Turing Remote (Worldwide) https://work.turing.com/r/BtGuHN1PmM Review sensor feeds from vehicles, evaluate LLM-generated reasoning about driving scenes, and refine outputs for accuracy and coherence. Why it's interesting: This sits at the intersection of autonomous driving, spatial reasoning, and language precision — and that combination is rare. You are not labeling images. You are judging whether an AI correctly understood what happened on the road. If you know US traffic rules and can think spatially, you are working on one of the highest-stakes AI applications that exists. Audio & Voice Vocal Audio Specialist - AI Trainer — Invisible Remote (Worldwide) — $6–$65/hr https://job-boards.eu.greenhouse.io/agency/jobs/4861115101 Record pitch-stable humming takes with dynamic control. Follow specific tonal prompts — hum a major 3rd, stay in key, flat tone with no vibrato. Professional recording quality required. Why it's interesting: This is one of the most specific AI jobs I have seen. The wide pay range almost certainly reflects skill level — if you have real vocal training and proper recording equipment, you are at the top end. AI music and audio generation models need clean, controlled vocal data, and people who can deliver it reliably are a small pool. If you can hum in key on command, that is apparently now a marketable skill. Technical / Research Research Quality Specialist - Computational Math — Turing Remote (Worldwide) https://work.turing.com/r/I3pQneREXh Create original, research-grade math problems with Python, then rigorously solve them. Participate in two-tier review processes. Why it's interesting: You are not solving someone else's problems — you are designing hard ones. This role exists because AI models are getting good enough at math that the benchmarks need to get harder. If you have a graduate-level quantitative background, your ability to create problems that stump frontier models is now a sellable skill. Language Data Annotation Specialist, Modern Standard Arabic — Cohere Remote (Canada) — 30 CAD/hr https://jobs.ashbyhq.com/cohere/c88a1738-bfe7-4f2f-ad01-117b45511232 Label, rank, audit, and correct Arabic language data for one of the top AI model companies. Recommend optimizations for model performance. Why it's interesting: Cohere is a serious AI lab, and this is closer to product quality work than annotation. MSA spans the entire Arab world, and getting it right in AI models has massive downstream value. Worth noting: Cohere is also hiring separately for Najdi/Hijazi dialect — a signal they are investing deeply in Arabic across both formal and regional variants. Entry-Level AI Training Generalist — Invisible Remote (US) — $20/hr https://job-boards.eu.greenhouse.io/agency/jobs/4864011101 Interact with AI systems, review outputs, follow task guidelines, and help create training data. No prior experience needed. Why it's interesting: The listing says it plainly: no prior experience required. Tasks are well-defined with guidance provided. $20/hr is a reasonable entry-level rate for US-based work. If you have been looking at AI jobs but feeling underqualified, this is designed for exactly that situation. Get in, learn the evaluation workflow, and build from there. What I'm seeing overall AI hiring is moving into the physical world — driving, banking, sales Simulation and workflow design roles are emerging (not just annotation) Audio/voice work is getting more specialized and technical Arabic is getting deep investment (MSA + dialect-specific hiring) Pay spread keeps widening: $6/hr to $170/hr The difference is always specificity The best-paying AI jobs are not "label this data." They are "use what you know about how the real world works, and teach it to a model." If you want the full weekly list, I send it here: https://newsletter.jobsignal.work And if you want to browse more broadly, there are now 70,000+ remote jobs listed here: https://alljobs.work submitted by /u/Wonkanismo to r/annotators [link] [comments]

Hi everyone, I’m Civil engineer and based in the UK and have 10+ years of experience in construction-related quality work. My role involves reviewing information, checking details, writing comments, and following specific requirements. I’m interested in finding a flexible side job in AI data training, annotation, evaluation, or similar remote work. I don’t have a coding background. Do you think this kind of background can be useful for AI data work? Also, are there any platforms or companies you would recommend? Any advice would be appreciated. submitted by /u/oralardaburalarda to r/AIdatatrainingjobs [link] [comments]

As an AI Data Reviewer, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: Review and analyze screenshots of diverse software interfaces, identifying UI elements and interpreting user workflows with precision. Evaluate and annotate AI model responses, ensuring judgments are strictly grounded in what is visible on the screen. Distinguish between observable evidence and assumptions, documenting clear, well-reasoned explanations for your assessments. Complete structured annotation and data review tasks across dashboards, forms, admin panels, CRM tools, and various web applications. Collaborate with the customer’s team to provide high-quality, actionable feedback that directly impacts AI model improvements. Maintain rigorous attention to detail, adhering to established guidelines and quality standards in all deliverables. Communicate insights and findings effectively, both in writing and verbally, to contribute to team knowledge-sharing and continuous improvement. Required Skills and Qualifications: Expertise in screenshot analysis and UI interpretation across multiple software environments. Exceptional attention to detail, with a commitment to accuracy and consistency in data review tasks. Outstanding written communication skills and a strong ability to articulate complex observations concisely. High computer literacy and comfort navigating a variety of digital tools, platforms, and workflows. Demonstrated ability to distinguish between evidence-based findings and assumptions. Experience completing structured annotation or review processes in a technical, product, or operational setting. Ability to prioritize, manage time effectively, and meet deadlines in a remote work environment. Preferred Qualifications: Background in QA testing, technical support, product operations, UX research, data annotation, or technical writing. Familiarity with reviewing complex interfaces such as admin panels, CRM tools, and modern web apps. Prior experience working remotely with globally distributed teams. Screening Please apply with the link - Apply here submitted by /u/Reasonable_Salary182 to r/freelance_forhire [link] [comments]

Hi 👋 I’m looking for 50 serious people in the US to join a work-from-home AI training collaboration. What is AI Training? AI training is the process of helping artificial intelligence improve by using human feedback to make its responses more accurate, useful, and natural. What is Data Annotation? Data annotation is part of AI training where you label, review, categorize, or rate data/AI outputs so the system can learn from human judgment. Your Role as a Collaborator: • Review AI-generated responses • Label/categorize data • Mark correct vs incorrect outputs • Provide simple written feedback • Help improve AI system quality Pay:💰 Potential to earn $1,000+ per week depending on workload and performance Why This Opportunity: • Fully remote / work from home • Flexible side job • Beginner-friendly • No coding required • Earn while learning I’m only looking for 50 serious individuals who can follow instructions, communicate well, and stay consistent. If interested, comment with your country.👍 submitted by /u/Difficult-Cellist-67 to r/HandshakeAi_jobs [link] [comments]

micro1 is looking for detail-focused reviewers to analyze software screenshots and help improve AI understanding of user interfaces. If you’re good at spotting UI details and understanding workflows, this is a practical AI training role. Your day-to-day: • Review screenshots and identify UI elements • Evaluate AI responses based on visible screen data • Annotate workflows and flag inconsistencies What they value: • Strong UI interpretation skills • Sharp attention to detail • Clear written communication Good to have: QA, tech support, UX research, or product operations experience. Location: Remote Type: Contract Openings: 40 Pay: $25-$40/hr Apply now - https://jobs.micro1.ai/ai-reviewer (Disclosure: Shared as part of the micro1 referral program) submitted by /u/mkithan to r/WFHJobs [link] [comments]

If you've seen AI training jobs advertised lately and wondered if they're worth your time — they can be, but the platforms vary quite a bit. Here's what I know after watching these for a while. How it works: you review AI-generated content and rate it for accuracy, tone, or helpfulness. No coding required. Tasks run 5-30 minutes, paid per task or hourly depending on the platform. DataAnnotation.tech — $14-25/hr. Qualification test takes 30-60 min. Usually 1-2 weeks from applying to first payment. Most consistent for ongoing work volume once you're in. Outlier (Scale AI) — $15-30/hr, with STEM tasks paying more. Harder qualification test. Volume is inconsistent — some weeks plenty, other weeks almost nothing. 1-3 weeks to first payment. Remotasks (also Scale AI) — $10-15/hr, easier to get started. Weekly PayPal or Payoneer payments. More reliable volume than Outlier but the pay ceiling is lower. Red flags: any platform asking for upfront fees, vague about what the work looks like, or guaranteeing specific income — skip it. Realistic numbers: applying to all three at once, working 20-25 hrs/week, $1,200-2,000/month is achievable after the 2-4 week ramp-up. Don't expect day-one volume. Drop questions below — happy to help with qualification prep or figuring out which platform fits your situation. submitted by /u/ExcellentTrust4433 to r/workfromhomejobs [link] [comments]

If you're trying to get into AI training or data annotation jobs, here’s something most people don’t realize: You don’t need “AI experience”. Most beginner roles are: generalist AI evaluation data annotation content / language tasks What actually matters is how you present your experience. For example: translation → text evaluation subtitle work → quality review blogging → structured content + clarity customer support → communication + consistency That’s exactly what these platforms are looking for. Big mistake I see: people apply with a generic CV Instead, you should: highlight anything related to writing, reviewing, or structured tasks I broke it down here: https://www.aitrainingjobs.it/beginner-ai-training-data-annotation-jobs-roles-skills-how-to-get-started-2026/ submitted by /u/No-Impress-8446 to r/AiTraining_Annotation [link] [comments]

I’m sharing this as a work-in-progress / demo rather than a definitive guide. I’ve collected publicly available payment information for AI training and data annotation platforms, plus a bit of personal experience (Merco, TransPerfect, Invisible, Gloz). Many companies don’t publish clear payout details, so this list is based only on what can be verified publicly. Complete guide and open jobs: https://www.aitrainingjobs.it/how-ai-training-data-annotation-companies-pay-contractors-2026/ - r/AiTraining_Annotation If you’ve worked with any of these platforms and have first-hand, verifiable info (payment method, frequency, delays, changes over time), feel free to comment and help improve it. Corrections, updates, and additional sources are very welcome — the goal is to make this more accurate and useful over time. Merco(r) • Methods: Stripe Express, Wise • Frequency: Weekly • How: Tracked hours → approval → automatic payout Micro1 • Methods: Direct bank transfer (payroll-style) • Frequency: Bi-monthly • How: Approved work paid on fixed pay cycles Braintrust • Methods: Bank transfer (via invoicing, e.g. Wise) • Frequency: After client pays invoice • How: Invoice → client payment → release to contractor DataAnnotation. tech • Methods: PayPal • Frequency: On withdrawal • How: Task approval → manual withdrawal Clickworker • Methods: PayPal, Payoneer, bank transfer • Frequency: Weekly (most methods) • How: Approved earnings → automatic payout Remotasks • Methods: PayPal, AirTM • Frequency: Weekly • How: Task approval → weekly payout OneForma • Methods: PayPal, Payoneer • Frequency: Monthly (most projects) • How: Approved work paid during cycle Toloka • Methods: PayPal, Payoneer, regional options • Frequency: Anytime after approval • How: Task approval → withdraw anytime Prolific • Methods: PayPal • Frequency: After study approval + threshold • How: Study approval → withdrawal Welocalize • Methods: Hyperwallet • Frequency: Project-dependent • How: Paid into Hyperwallet → withdraw locally RWS • Methods: Bank transfer (invoice) • Frequency: ~Net 30 • How: Invoice-based freelancer payouts Appen (CrowdGen) • Methods: PayPal, Payoneer, bank, Airtm • Frequency: Project-dependent • How: Approved work → withdraw via selected method Outlier AI • Methods: PayPal, AirTM, ACH • Frequency: Weekly • How: Approved work → automatic weekly payout TELUS International AI • Methods: Hyperwallet • Frequency: Program-dependent • How: Paid to Hyperwallet → local withdrawal SME Careers • Methods: Deel • Frequency: Weekly • How: Approved expert work → Deel payout SuperAnnotate • Methods: Not publicly specified • Frequency: Not publicly specified • How: Pay model (hourly / per task) shown before accepting project Handshake (AI programs) • Methods: Internal payout system • Frequency: Recurring (weekly window) • How: Approved work → payout account TransPerfect (DataForce) • Methods: PayPal, wire, check, gift cards, WU • Frequency: After QA (remote) / immediate (onsite) • How: QA approval → payment processing Gloz • Methods: Payoneer, wire, ACH • Frequency: Monthly (invoice-based) • How: Invoice via platform → scheduled payout Mindrift • Methods: Not publicly listed • Frequency: After review • How: Tasks paid via internal unit system Invisible Technologies • Methods: Wise • Frequency: Twice per month • How: Tasks/hours → SOW → bi-monthly payout Excluded (no public payout docs): Scale AI, iMerit, LXT AI, Lionbridge, Innodata, Alignerr, Abaka AI, Stellar AI, Cohere, Perplexity AI, xAI submitted by /u/No-Impress-8446 to r/AiTraining_Annotation [link] [comments]

Many people assume you need a degree to work in AI or data annotation. That’s not true. In fact, a large part of the AI training industry is built around contributors with no formal background, as long as they can follow guidelines, think critically, and deliver consistent quality. In this guide, you’ll learn which data annotation jobs you can do without a degree, what roles to focus on, and which platforms to apply to. Do You Really Need a Degree for Data Annotation Jobs? Most platforms do not require a degree. What they actually care about is your ability to: understand instructions, evaluate content, and maintain consistency over time. In many cases, someone with no degree but strong attention to detail will outperform someone with formal education. Some specialized roles (like legal or medical annotation) may require specific knowledge, but the majority of entry-level work does not. Best Data Annotation Roles Without a Degree If you’re starting from scratch, not all roles are equal. Some are much easier to access and learn than others. AI Response Evaluation This is one of the most common and beginner-friendly roles. You are given one or more AI-generated responses and asked to evaluate them based on criteria like quality, correctness, or usefulness. This type of work is widely available and does not require technical knowledge. Data Labeling and Categorization In this role, you classify or tag content. For example, you might: label images, categorize text, or identify specific elements in data. These tasks are simple but require attention and consistency. Content Moderation / Safety Evaluation You review content and decide whether it follows certain rules or policies. This can include detecting harmful, unsafe, or inappropriate content. While not technically difficult, it requires good judgment and careful reading. Basic Prompt Writing Some platforms allow beginners to write simple prompts or improve existing ones. This involves understanding how AI responds and making small improvements. It’s a good entry point into more advanced AI work. Transcription and Data Collection These tasks involve collecting or converting data, such as: audio transcription, text input, or dataset creation. They are usually easy to access but may offer lower pay compared to evaluation tasks. Roles That Usually Require More Experience As you grow, you’ll encounter more advanced roles. These may include: complex evaluation and reasoning tasks rewriting AI outputs in depth domain-specific annotation (legal, technical, etc.) You don’t need a degree for these either, but you do need experience and strong performance. Best Platforms for Data Annotation Jobs (No Degree Required) Not all platforms are beginner-friendly. Choosing the right one makes a big difference. DataAnnotation One of the best platforms to start with. It offers AI evaluation and writing tasks that don’t require formal qualifications. If you can pass the initial assessment, you can start working quickly. Remotasks (Scale AI) Ideal if you want structured learning. The platform provides training courses that teach you how to perform tasks before you start working. Great for building foundational skills. Appen A well-known platform with many entry-level projects. It’s accessible globally and does not require a degree, but task availability can vary. TELUS International AI Slightly more structured and selective. It offers longer-term projects, but expectations are higher compared to beginner platforms. OneForma (Centific) A growing platform with different types of tasks. Good for diversifying your experience once you’re comfortable with basic work. How to Get Started Without a Degree Getting started is less about qualifications and more about approach. First, focus on understanding how tasks work rather than trying to earn quickly. Take time to read guidelines carefully and apply them consistently. Second, start with one or two beginner-friendly platforms instead of applying everywhere at once. This helps you build confidence and avoid confusion. Finally, treat this as a skill. The more you improve your accuracy and reasoning, the more opportunities you’ll unlock. Common Mistakes to Avoid Many beginners struggle not because they lack a degree, but because they approach the work incorrectly. The most common mistakes include: rushing through tasks, ignoring guidelines, and focusing only on speed. In reality, quality is what determines whether you keep access to work. Final Thoughts You don’t need a degree to start working in data annotation or AI training. What matters is your ability to understand tasks, follow instructions, and deliver consistent results. If you choose the right roles and platforms, you can start from zero and gradually move toward better opportunities. The barrier to entry is low — but long-term success depends on how seriously you approach the work. https://preview.redd.it/odaojmy002tg1.jpg?width=788&format=pjpg&auto=webp&s=e2e034d207636ed406ae7fa97ae3bdce4071b326 https://preview.redd.it/cb9zcmy002tg1.jpg?width=648&format=pjpg&auto=webp&s=d7024486dc99c8b78fa7fc7a8ec094d0545fc440 submitted by /u/nortonakenga to r/HandshakeAi_jobs [link] [comments]

I’m sharing this as a work-in-progress / demo rather than a definitive guide. I’ve collected publicly available payment information for AI training and data annotation platforms, plus a bit of personal experience (Merco, TransPerfect, Invisible, Gloz). Many companies don’t publish clear payout details, so this list is based only on what can be verified publicly. Complete guide and open jobs: https://www.aitrainingjobs.it/how-ai-training-data-annotation-companies-pay-contractors-2026/ - r/AiTraining_Annotation If you’ve worked with any of these platforms and have first-hand, verifiable info (payment method, frequency, delays, changes over time), feel free to comment and help improve it. Corrections, updates, and additional sources are very welcome — the goal is to make this more accurate and useful over time. Merco(r) • Methods: Stripe Express, Wise • Frequency: Weekly • How: Tracked hours → approval → automatic payout Micro1 • Methods: Direct bank transfer (payroll-style) • Frequency: Bi-monthly • How: Approved work paid on fixed pay cycles Braintrust • Methods: Bank transfer (via invoicing, e.g. Wise) • Frequency: After client pays invoice • How: Invoice → client payment → release to contractor Rise Data Lab • Methods: Paypal, Wise and Stripe • Frequency: Monthly • How: Approved work paid on fixed pay cycles DataAnnotation. tech • Methods: PayPal • Frequency: On withdrawal • How: Task approval → manual withdrawal Clickworker • Methods: PayPal, Payoneer, bank transfer • Frequency: Weekly (most methods) • How: Approved earnings → automatic payout Remotasks • Methods: PayPal, AirTM • Frequency: Weekly • How: Task approval → weekly payout OneForma • Methods: PayPal, Payoneer • Frequency: Monthly (most projects) • How: Approved work paid during cycle Toloka • Methods: PayPal, Payoneer, regional options • Frequency: Anytime after approval • How: Task approval → withdraw anytime Prolific • Methods: PayPal • Frequency: After study approval + threshold • How: Study approval → withdrawal Welocalize • Methods: Hyperwallet • Frequency: Project-dependent • How: Paid into Hyperwallet → withdraw locally RWS • Methods: Bank transfer (invoice) • Frequency: ~Net 30 • How: Invoice-based freelancer payouts Appen (CrowdGen) • Methods: PayPal, Payoneer, bank, Airtm • Frequency: Project-dependent • How: Approved work → withdraw via selected method Outlier AI • Methods: PayPal, AirTM, ACH • Frequency: Weekly • How: Approved work → automatic weekly payout TELUS International AI • Methods: Hyperwallet • Frequency: Program-dependent • How: Paid to Hyperwallet → local withdrawal SME Careers • Methods: Deel • Frequency: Weekly • How: Approved expert work → Deel payout SuperAnnotate • Methods: Not publicly specified • Frequency: Not publicly specified • How: Pay model (hourly / per task) shown before accepting project Handshake (AI programs) • Methods: Internal payout system • Frequency: Recurring (weekly window) • How: Approved work → payout account TransPerfect (DataForce) • Methods: PayPal, wire, check, gift cards, WU • Frequency: After QA (remote) / immediate (onsite) • How: QA approval → payment processing Gloz • Methods: Payoneer, wire, ACH • Frequency: Monthly (invoice-based) • How: Invoice via platform → scheduled payout Mindrift • Methods: Not publicly listed • Frequency: After review • How: Tasks paid via internal unit system Invisible Technologies • Methods: Wise • Frequency: Twice per month • How: Tasks/hours → SOW → bi-monthly payout Excluded (no public payout docs): Scale AI, iMerit, LXT AI, Lionbridge, Innodata, Alignerr, Abaka AI, Stellar AI, Cohere, Perplexity AI, xAI submitted by /u/No-Impress-8446 to r/WFHJobs [link] [comments]

https://preview.redd.it/62mlniw9oxpg1.jpg?width=720&format=pjpg&auto=webp&s=7aaac6d7daf3eba0959c88482bcf3e04451942ee Handshake is a career and recruiting platform primarily used by universities, research institutions, and companies to connect students and early-career professionals with job opportunities. While Handshake is not a traditional data annotation platform, it is increasingly used to publish AI-related roles, including AI training support, research assistance, data labeling, and model evaluation positions. This review explains how Handshake fits into the AI training ecosystem, what kind of AI-related work you can find, pay expectations, requirements, and who Handshake is best suited for. What Is Handshake? Handshake is a job marketplace focused on students and early-career candidates, widely adopted by universities in the US and internationally. Employers use Handshake to post internships, part-time roles, research positions, and early professional jobs. In the AI context, Handshake is often used to recruit for: AI research support roles Data labeling and dataset preparation AI training assistance and evaluation tasks Human-in-the-loop and academic AI projects Handshake is not a crowdsourced task platform and does not offer open microtasks. Types of AI Training Work on Handshake AI-related opportunities on Handshake depend heavily on the employer posting the role. Common examples include: AI research assistant roles (academic or industry-linked) Data labeling and dataset curation for ML projects Model evaluation and testing support Human feedback and annotation work within research teams Technical support roles related to AI systems Most roles are structured positions, not on-demand tasks. How Handshake Works Handshake operates like a traditional job board: You create a profile (often tied to a university or institution) Employers post open roles with descriptions and requirements You apply directly through the platform Employers review applications and contact candidates There is no task dashboard, no instant work access, and no guaranteed assignments. Pay Rates – What to Expect Pay on Handshake varies widely because compensation is set by each employer. Typical ranges for AI-related roles include: Paid internships: hourly or stipend-based Research assistant roles: hourly or contract pay Entry-level AI support roles: employer-defined compensation Unlike data annotation platforms, Handshake does not define pay rates. Some listings clearly state compensation, while others require direct inquiry. Requirements & Eligibility Handshake roles often require: Student or recent graduate status (varies by employer) Resume and profile approval Relevant academic background or coursework Meeting employer-specific requirements Eligibility depends entirely on the job listing. Feel free to comment or reach out for more information. Thanks. submitted by /u/nortonakenga to r/HandshakeAi_jobs [link] [comments]

www.aitrainingjobs.it Abaka AI is an AI training and evaluation platform offering remote contract work focused on data annotation, reasoning tasks, and AI model feedback. It is often mentioned in online communities for its promise of higher-than-average pay compared to traditional AI microtask platforms. This review explains how Abaka AI works, what types of tasks are available, pay expectations, requirements, and who Abaka AI is best suited for. What Is Abaka AI? Abaka AI provides human-in-the-loop services to support the training and evaluation of AI systems. The platform focuses on tasks that require reasoning, judgment, and qualitative feedback, rather than simple repetitive labeling. Work at Abaka AI typically involves: evaluating AI-generated outputs providing structured feedback reasoning and decision-based annotation assisting with model improvement tasks Abaka AI operates through contract-based projects rather than an open task marketplace. Types of Tasks on Abaka AI Reported task types include: AI reasoning and evaluation – assessing the quality and correctness of AI outputs Decision-based annotation – labeling outcomes based on logical criteria Human feedback tasks – providing qualitative input to improve models Specialized review tasks – tasks requiring domain understanding Tasks are usually text-based and emphasize accuracy over speed. Pay Rates Abaka AI is often associated with higher pay claims compared to typical AI training platforms. Community-reported ranges suggest: General tasks: ~$25–$45 per hour Specialized or expert tasks: potentially higher Actual earnings depend on: project availability qualification results performance and consistency Abaka AI does not guarantee steady work, and pay rates may vary by project. Requirements & Eligibility Abaka AI appears to be selective compared to beginner platforms. Common requirements include: strong reasoning and analytical skills excellent written English ability to follow complex guidelines passing qualification or screening tasks Some projects may prefer: academic or professional background prior experience in AI evaluation or data annotation Abaka AI is not ideal for complete beginners. Onboarding Process The onboarding process typically involves: Submitting an application Completing screening or qualification tasks Waiting for project assignment Access to work depends on project demand and individual performance. Pros and Cons Pros Potentially higher pay than many AI training platforms Focus on reasoning-based tasks Remote, contract-based work Interesting projects for analytical contributors Cons Limited transparency on job availability Selective onboarding Inconsistent workload Not suitable for beginners seeking quick entry Who Is Abaka AI Best For? Abaka AI is a good fit if you: have strong analytical or reasoning skills are looking for higher-paying AI evaluation work are comfortable with selective, project-based access do not rely on guaranteed hours It may not be ideal if you: want immediate or stable income are new to AI training platforms prefer simple, repetitive tasks Abaka AI vs Similar Platforms Compared to other platforms: Abaka AI emphasizes higher-value reasoning tasks Alignerr focuses on cognitive and ethical evaluation Outlier / DataAnnotation.tech provide more accessible LLM feedback tasks Abaka AI sits at the higher-pay, lower-volume end of the spectrum. Is Abaka AI Legit? Abaka AI is generally considered legitimate based on available information and community reports. However, transparency is more limited than with larger, established platforms, and contributors should approach expectations cautiously. submitted by /u/No-Impress-8446 to r/AiTraining_Annotation [link] [comments]

www.aitrainingjobs.it Remotasks is a global online platform that offers AI training and data annotation tasks, with a strong focus on image, video, and LiDAR annotation used for machine learning systems. It is especially known for computer vision projects and structured training programs. This review explains how Remotasks works, what types of AI training tasks are available, pay expectations, requirements, and who Remotasks is best suited for. What Is Remotasks? Remotasks is a task-based platform where contributors help train AI models by annotating visual and structured data. The platform is commonly used for: autonomous driving datasets computer vision models object detection and segmentation 3D LiDAR annotation Remotasks operates as a managed task platform, combining training courses with project-based work. Types of AI Training Tasks on Remotasks Common task categories include: Image annotation – bounding boxes, polygons, classification Video annotation – tracking objects across frames LiDAR annotation – labeling 3D point clouds (more advanced) Text and data tasks – limited, project-dependent Some projects require completing mandatory training modules before accessing tasks. Pay Rates Pay on Remotasks varies widely by task type and skill level. Typical reported ranges: Basic annotation tasks: ~$3–$7 per hour Advanced tasks (e.g., LiDAR): ~$10–$20+ per hour Earnings depend on: task availability accuracy and speed project type Remotasks should be considered supplemental income, not a guaranteed full-time job. Requirements & Eligibility Remotasks is beginner-friendly, but access to higher-paying tasks requires training and performance. Common requirements include: passing platform training courses following strict annotation guidelines consistent quality scores Some advanced tasks may require: stronger technical skills higher time commitment Onboarding & Work Availability The onboarding process usually involves: Account creation Completing training courses Qualification exams Access to available projects Work availability depends on project demand and contributor performance. Pros and Cons Pros Wide range of AI training projects Clear training for advanced tasks Higher pay potential for skilled annotators Legitimate AI training platform Cons Inconsistent task availability Training can be time-consuming Lower pay for basic tasks Performance-based access Who Is Remotasks Best For? Remotasks is a good fit if you: are interested in computer vision or LiDAR annotation are willing to complete training modules want to progress to higher-paying tasks over time It may not be ideal if you: want instant access to tasks prefer language-based or reasoning tasks need stable income Remotasks vs Similar Platforms Compared to other platforms: Remotasks specializes in visual and LiDAR annotation Toloka / Clickworker focus on simple microtasks Outlier / DataAnnotation.tech focus on LLM feedback Remotasks occupies the computer vision–focused niche. Is Remotasks Legit? Yes, Remotasks is a legitimate AI training platform used by companies building computer vision systems. Payments are real, but earnings depend heavily on project access and performance. submitted by /u/No-Impress-8446 to r/AiTraining_Annotation [link] [comments]

Over the years, many lists of AI training and data annotation companies have circulated on Reddit, but a lot of them are now outdated or mix very different types of platforms. I put together an updated 2026 list covering AI training, data annotation, LLM feedback, and related AI work Full list, reviews and open jobs here: https://www.aitrainingjobs.it/best-ai-training-data-annotation-companies-updated-2026/ My reddit Community: https://www.reddit.com/r/AiTraining_Annotation/ Data Annotation. Tech Platform specialized in AI response comparison, evaluation, and human feedback tasks used to improve large language models, with a strong focus on reasoning-heavy work. TELUS International AI Global AI services provider offering search evaluation, AI training, and linguistic data work for major technology companies, including former Lionbridge AI programs. Scale AI Enterprise-focused AI data platform supporting advanced machine learning systems through large-scale data annotation, validation, and model evaluation workflows. Rise Data Labs AI training and data annotation company focused on model evaluation, RLHF workflows, and high-quality data production, often involving more advanced and structured AI tasks. Appen One of the longest-running AI data annotation companies, offering a wide range of remote AI training, language, and data labeling projects. Merco AI-focused talent marketplace connecting vetted professionals with project-based AI, data, and engineering roles, closer to a talent network than a task platform. Micro1 AI workforce and staffing platform offering higher-paying AI training and domain-specific roles, often requiring subject-matter expertise. SuperAnnotate AI data annotation platform offering tools and projects for image, video, text, and LLM-related annotation tasks, widely used in computer vision workflows. TransPerfect Global language and localization company working on large-scale AI training and multilingual data annotation projects for enterprise clients. Gloz AI training platform focused on language-based data annotation and LLM evaluation through structured text review and human feedback tasks. Mindrift AI training and data services platform focused on LLM evaluation and structured human feedback to improve model quality and alignment. Braintrust Decentralized talent network connecting vetted professionals with AI, engineering, and data-related projects through client-driven work. iMerit Enterprise-level AI data services company specializing in high-quality data annotation and model evaluation for complex use cases such as healthcare and NLP. Outlier AI training platform focused on reviewing and evaluating AI-generated responses through structured LLM feedback tasks, with relatively easy onboarding. Invisible Technologies AI operations and data services company offering structured, team-based AI training and data work for enterprise clients. OneForma Global AI training and crowdsourcing platform offering data annotation, transcription, translation, and linguistic evaluation tasks, widely used for multilingual projects. Welocalize Localization and language services company offering AI training, search evaluation, and multilingual data annotation work. LXT AI Global AI data annotation and training company focused on language, speech, and localization projects for enterprise clients. Lionbridge Formerly a major AI training and search evaluation company; most AI programs are now operated under TELUS International AI. Innodata Enterprise-level AI data services company specializing in large-scale data annotation and structured AI training projects. Alignerr AI training platform focused on cognitive labeling, decision evaluation, and ethical AI alignment tasks emphasizing human reasoning. Abaka AI AI training and evaluation platform offering contract work focused on reasoning-based annotation and human feedback, often cited for higher pay. Stellar AI AI training and evaluation platform offering project-based annotation and quality assurance work with a strong focus on accuracy. SME Careers Platform connecting subject-matter experts with high-paying AI training, expert review, and model evaluation projects. Cohere Enterprise AI company focused on large language models, offering expert-level roles rather than open crowd-based annotation tasks. Perplexity AI AI-powered search and answer engine offering professional research, engineering, and quality roles related to AI systems. xAI AI research and product company focused on large language models and advanced reasoning systems, offering highly selective roles. Toloka Global crowdsourcing platform offering beginner-friendly AI training microtasks such as content evaluation and data labeling. Prolific Online research platform connecting participants with paid academic and industry studies used for AI training and human feedback. Remotasks AI training platform focused on image, video, and LiDAR annotation for computer vision systems, with structured training programs. CloudFactory Global data operations company providing human-in-the-loop AI services through managed teams and structured workflows. Clickworker Crowdsourcing platform offering basic microtasks such as text labeling, image tagging, and surveys used for AI data collection. Surge AI Premium AI data services company focused on RLHF and high-quality human feedback for advanced AI models, operating through selective contracts. Handshake Career and recruiting platform connecting students and early-career professionals with structured AI-related roles, including AI training support, data labeling, research assistance, and model evaluation positions. RWS Enterprise language, localization, and AI data services company working with global clients on large-scale AI training, linguistic data annotation, and model evaluation projects. TaskVerse Microtask-based platform offering occasional AI-related tasks such as data labeling, content review, and basic human feedback. Uber AI Solutions Task-based platform offering flexible AI-related work such as data labeling, content evaluation, and basic human feedback tasks RemoExperts (Rex.zone) Expert-focused AI training and evaluation platform connecting vetted professionals with high-value remote projects such as LLM evaluation, RLHF, domain-specific analysis, and advanced data annotation. RemoExperts emphasizes selective onboarding, expert-level contributions, and competitive pay rather than open microtask workflows. Silencio AI Audio data collection app where contributors earn by capturing and submitting real-world sound recordings to support speech AI and voice recognition model training. Centific Enterprise AI data solutions company delivering large-scale human-in-the-loop workflows, high-quality datasets, and AI data infrastructure for global clients (not a typical microtask platform). submitted by /u/No-Impress-8446 to r/WFHJobs [link] [comments]

Just been in a drought in the job market applying and getting nothing back. I looked into outlier and it just brought up red flags even in their application process with the details they needed also their reviewing and dropping employees for no good reason. Is that the same with data annotation? EDIT: From the replies I've seen I applied to dataannotation wish me luck. Thanks so much for the replies they really helped with making the decision! Edit again: Damn they replied quick I got accepted submitted by /u/KingMontz to r/DataAnnotationTech [link] [comments]

I posted this in some other threads, but just feel that I should make an original post to share a realistic view of this platform: I worked for Data Annotation Tech for about a month with Data Analysis type of projects and got some more responsibilities (started reviewing other people’s work). Suddenly, they permanently suspended my account saying that I “violated their code of conduct”. I emailed multiple times for clarification and still have gotten no response. I never embellished my hours worked and never shared anything about the projects I was working on. I was on holiday for 3 weeks and had a lot of free time so I worked a TON on the platform. I had about $3000 that I was getting ready to transfer into my PayPal and now that my account is permanently suspended, I can’t even access that money. So basically, my advice to those just starting out: please remember that this is very strictly volatile gig work and do not rely on it for anything. Make sure you have an actual job with benefits and some semblance of security. If you’re still a student like me, stay focused in your degree program and/or apply to internships to get real experience. Deepen your knowledge and skill set through certification programs and tech meetups. Data Annotation Tech is good until it isn’t. Use it to make extra money for savings, investments, spontaneous holidays, etc. But def not for rent, bills, food, prospects…lol just some advice! And ALWAYS transfer your pay immediately to your PayPal, get your hard-earned bread off of their platform. DA has weird Sam Bankman-Fried/ ftx-esque undertones. They don’t care, they let you do whatever you want, they don’t interact with you, you bask in autonomy, you’re given responsibilities you well-know you’re not nearly as qualified for, you’re overpaid for your experience, then suddenly it all crashes. They very subtly employ a psychological manipulation tactic used to make you feel so grateful for the “opportunity” to practice your programming skills while making $40+ an hour with so much creative freedom that you almost begin to feel the company is some kind of blessing. So you can never speak up against odd or weird behavior that you experience- because you should be so grateful to have this Godsend of a job (hard eye roll). The truth is, no job should ever feel like that. Even Google and Apple employees can respectfully admit that their companies have flaws and that their companies need them, not the other way around. DA feels too good to be true, because it is. I wouldn’t be surprised if some of their investments are in the form of weightless crypto…okay maybe I’m getting a little too conspiratorial here but I think you get my gist. Machine Learning is taking off exponentially and it’s the “in” thing right now. Literally every company is trying to carve their piece of this budding professional sector…some of these companies will most likely use unethical means to enter the industry and they will eventually collapse. I would not be remotely surprised if DA disappears and investors are left with unanswered emails and unreturned phone calls, just like the current gig workers who have been suddenly and irrationally permanently suspended from their platform. Also, to the weird cultish DA supporters: please save your ignorant comments about how I shouldn’t have left my money sitting on the platform and how I most likely did violate their code of conduct. Fact is, you don’t blame the robbed for the action of the robber. Also, any actual company would have a conversation with their employee if the code of conduct was “violated” instead of just locking the doors to the office. By the way, DA’s Code of Conduct is literally 3 paragraphs. You would have to be near illiterate to violate their Code of Conduct. Anyway, maybe I’m near illiterate, who knows. Well, lesson learned and I’m channeling the shock and trauma towards educating those in the community. Okay, I’m off my soapbox now Btw: This post got deleted from the r/dataannotation community by the moderator. That’s how they make sure only positive feedback is broadcasted there. Pathetic. submitted by /u/juststattingaround to r/WorkOnline [link] [comments]