Data Annotation Review

...€? The DNC notes, in an annotation, that the report does not... of “WHAT HAPPENED (ELECTORAL REVIEW),â€? the author simply wrote...€“ every conversation, every interview, every data set,â€? Martin wrote in...

..., and interpret patterns. Activities Data Storytelling Students receive a messy...the procedure.” Peer Review Structure Peer review uses highly specific prompts... outputs. AI cannot: fabricate data, invent citations, generate results ...makes a claim unsupported by data.” Students compare: effective prompts,...Low Reading Confidence Interventions: source annotation templates, paragraph paraphrase exercises, ...

... al. 2022 — Deduplicating Training Data Makes Language Models Better arXiv...Use this ecosystem for: Polish data discovery; community contacts; documentation ... parser. Review policy: 100% single review 10–20% double review all disagreements... extremely tiny on template data near-duplicate/template issue random ...compact informative fields beat default-heavy annotation. val_ppl_clean should be the primary...

... generated in the recent review. 🎉 ℹ️ Recent review info ⚙️ Run... UI (base), Organization UI (inherited) Review profile: ASSERTIVE Plan: Pro Run... (1) phpstan-baseline.neon 📜 Recent review details ⏰ Context from checks... AR model PHPDoc updates tests/data/ar/* Adds and expands @property... describing the main changes: type annotation improvements, documentation updates, and test...

... in the recent review. 🎉 ℹ️ Recent review info ⚙️ Run... (base), Organization UI (inherited) Review profile: ASSERTIVE Plan: Pro Run...pgsql/BaseActiveRecordTest.php 📜 Recent review details ⏰ Context from ...annotation. Query::$from property type expanded to include string . ActiveRecord test data...<BaseActiveRecord> with @phpstan-require-extends trait annotation. Redundant @var annotations removed ...

...really appreciate if you could review my defence below and point...authority to access DVLA keeper data under the KADOE contract, ...without which that data was unlawfully obtained; and (c...unverified aerial image. DVLA keeper data is supplied solely on the...costs of enforcement, including DVLA data retrieval and an automated letter ...basis, noting the White Book annotation to CPR 38.6 that ...

...base), Organization UI (inherited) Review profile: ASSERTIVE Plan: Pro ...() return type uses conditional annotation based on $attribute parameter, CompareValidator...@param-out . Test Data Model PHPDoc tests/data/validators/models/...ValidatorTestMainModel.php , tests/data/validators/models/ValidatorTestRefModel.php...Test Model Documentation tests/data/validators/models/FakedValidationModel.php ...

... UI (base), Organization UI (inherited) Review profile: ASSERTIVE Plan: Pro Run...rbac/PhpManagerTest.php 📜 Recent review details ⏰ Context from checks... declaration. The @extends ManagerTestCase<DbManager> annotation correctly specifies the concrete manager... 41-42 : LGTM! More accurate type annotation. Adding |null to the @var... comments for intentional invalid test data. Possibly related PRs: yiisoft/...

... user-key semantics and return no data — a silent data-loss scenario from... diff. Consider adding a TSAN annotation or debug-mode check. M4. Customizable... kCustomOnly SSTs (empty index = no data). Document prominently. ReadOnly DB YES... have factory available to read data Backup/Restore YES (kCustomOnly) Factory... response Generated by Claude Code. Review methodology: claude_md/code_review.md Limitations...

... be undefined despite the string annotation. require(requirePath) returns any , so... at the point of bad data. Add a runtime guard at... Committable suggestion ‼️ IMPORTANT Carefully review the code before committing. Ensure...

...improvements landed or are under review. Homogeneous tuple membership tests ...corpus linguistics. It indexes CoNLL-U data, the annotation format used by Universal Dependencies...make comparisons faster and malformed data easier to detect. UniformStreamlines.jl...they are common in life-sciences data analysis. MeijerG.jl provides numerical...or posterior summaries from simulated data, which is valuable when a...

... pathogenicity status and PharmGKB clinical annotation level Summary table mapping categories... references to: My personal genome data My medications or supplements My... allele frequency or effect size data is missing or weak for... is missing from this person’s data, say so explicitly and interpret... are informational and require clinician review. Begin with the pre-check (build...

Submission Review Guidelines: I have followed...merchant selects a variation. Data model Storage matches parent ..."no images" choices so legacy data doesn't resurrect. Migrator ( wc_update_1090_migrate_legacy_variation_gallery_meta ):...WP-CLI). The "pending update" annotation also shows in Plugins → Installed...rollout decisions: WC_Tracker snapshot: data['variation_gallery'] carries 11 keys covering...

... Factory framework designed to orchestrate data, human judgment, AI inference, and... audit-ready outputs - model and data governance - multi-cloud and on-prem... and guardrails - Data & workflow layer: collection, preparation, annotation, HITL review, decision engine... how, why, and under whose review I would be interested to ...

... Factory framework designed to orchestrate data, human judgment, AI inference, and... audit-ready outputs - model and data governance - multi-cloud and on-prem... and guardrails - Data & workflow layer: collection, preparation, annotation, HITL review, decision engine... how, why, and under whose review I would be interested to ...

... management feature and our PDF annotation review feature both exhibit identical behavior... against the same tenant. Diagnostic data capturedTest run from Microsoft Graph...

... computational tasks (e.g., single-cell annotation, genomic data mining, and survival analysis) where... evidence exists for agents automating data analysis, single-cell annotation, and genomic mining. Biologists should... C/D Evidence) Agentic Peer Review: The use of agents to review and “stress-test” papers. While... the nuance of human expert review. Citation Prediction Models: Using AI ...

...about? Those are different annotation layers. The right move...how SetFit suggestions can support annotation workflows, including multi-label questions...data. 10. Human review: where to spend effort Do not manually review everything. Review... review_required Week 3 — Review Review 500–1,000 examples,..., context resolution, confidence scores, and review queues. { "entity": "Tesla", "candidate_domains...

... is resolved in the customer data retrieval logic by implementing defensive... reflect the corrected parameter type annotation. Core Logic Implementation plugins/woocommerce... parameter type annotation from object to \WC_Order . Estimated code review effort 🎯...

... (base), Organization UI (inherited) Review profile: ASSERTIVE Plan: Pro Run...conditions/InConditionBuilderTest.php 📜 Recent review details ⏰ Context from checks...suggestion to add a @SuppressWarnings annotation conflicts with the project's convention... test suites. Added comprehensive data providers and new driver-specific test...by organizing them into dedicated data providers and driver-specific test ...

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]

I've known about this company for 4 years now. Against my better judgement, I applied last week. Lo' and behold, I "failed" the starter assessment. Let me assure you that this is a statistical impossibility. I score 155 on IQ tests and have a high proficiency in English. You can tell just from the way I write that there is a structure and elegance to my thought process that far surpasses that of the average person. Any AI annotation company would be clamping at the bit to have me as an evaluator. That is - IF - these companies actually value an intelligent and competent annotator. It's clear they *don't*. Just take one look at the DA subreddit. Yikes. No, it's clear that the entirety of their business relies on *data harvesting* the millions of applicants they get each year. It's about time a class action lawsuit is filed. The amount of horror stories I've read from this company is startling. If you are thinking of applying, I strongly encourage you not to. Do NOT give them your name, location, phone number, LinkedIn profile, ID, resume, and complete psychoanalytical profile by doing their "assessments". Trust pilot has over 20% 1 star reviews calling this company a scam and it's not without reason. Stay away! submitted by /u/DarkSaturnPrince to r/WFHJobs [link] [comments]

Hi people, So this is my overall two cents because I constantly see people asking the same questions here. Do with it what you will. Also, people with actual concrete knowledge and experience, please feel free to add or correct things. I’ve worked across multiple data annotation platforms for around 3 years (early 2024 was my first project) now. Mind you, I have literally done $0/hr work before because one company claimed the product was “not in production stage yet” lol. So yes, this industry is very much the wild west. I’m posting this specifically here because Mercor seems to be one of the biggest and most discussed platforms currently. First things first: yes, this industry is biased (not in a way you think). Most hiring managers strongly prefer EN-speaking locales unless the project specifically requires niche non-English languages. But the messed up part is that many so-called “non-EN” countries have massive populations where English is effectively their primary working language across education, work, and day-to-day thinking. Yet people still get filtered differently because of geography alone. I’ve seen people being forcefully routed into multilingual projects purely because of region, even when the only language they are professionally comfortable working in is English. The pay, project stability, and hiring cycles are all over the place. Nothing is guaranteed. If you land a contract, grab it immediately, finish onboarding ASAP, and try to get some work hours in fast because competition is insane now compared to 2020-2022. In 2026, literally everyone knows about AI training work now. Even school graduates are entering & saturating the space heavily. And yes, companies absolutely overhire, remove people quickly, then rehire again. That cycle is extremely common. Many times entire datasets go bad, quality collapses, and they restart hiring for the same project again. A lot of instructions will contradict themselves and make zero sense. You still have to stay transparent and honest because if you slip up, they now have a valid reason to remove you. Whether the same transparency is reciprocated from the other side? Usually not. A huge amount of decision-making is automated. Despite all the “humans train AI” messaging, a lot of task reviews, routing, moderation, and support systems are heavily dependent on automation and AI-assisted filtering. Yes, some tasks go through manual QA pipelines, but usually only selected samples or edge cases. Entry-level reviews and most moderation decisions are rarely deeply investigated manually. Support systems are also increasingly barricaded behind AI. For basic issues, fine, AI support works alright. But even many edge cases are now being handled through automated systems. Sad, but that’s the reality. Do not expect stability. Seriously, do not emotionally rely on any project just because things were going well for a few days or weeks. I’ve personally had my heart broken way too many times to tell you otherwise. Also accept that probably 70-80% of your queries may remain unanswered because many answers would reveal too much about internal systems, workflows, moderation logic, or operational structures companies do not want openly discussed. Document absolutely everything. Keep screenshots of bugs, errors, timestamps, project changes, and communications. Always escalate issues formally when possible because even if it never reaches proper human review, you at least create a record. And yes, mainstream generalist LLM training has mostly peaked now. Companies already trained systems on absurd amounts of data over the past few years. Most current hiring is slowly or already have shifted toward domain-specific expertise, technical backgrounds, STEM fields, specialised research knowledge, and niche professional skillsets. Ironically, I’ve seen highly skilled corporate professionals struggle to land projects while random EN-locale freshers get onboarded instantly. Early-stage AI training heavily relied on mass-scale beginner labour, but that phase is slowing down now. So keep upskilling. Reskill constantly. Tailor your résumé. Keep tweaking your Mercor profile and LinkedIn regularly. Search aggressively because many listings do not even show up properly unless you dig for them manually. And lastly: no matter how experienced, niche, diligent, or high-performing you are, nobody is immune here. That’s just the nature of this industry currently. submitted by /u/GODISABOTTOM to r/mercor_ai [link] [comments]

submitted by /u/apobletos to r/DataAnnotationTech [link] [comments]

Edit: Looks like it was a temporary bug. I have access to the main dashboard again. Four days ago, I received the email indicating that I passed the initial qualifications/exams, verified my identity without any issues, and got sent to the dashboard where a single task was visible. I've been quite busy this past week so I held off on the task, not expecting it to be an issue since DataAnnotation doesn't have minimum work requirements. Just now, I revisited the site and realized that I've been booted back to the worker onboarding page (https://app.dataannotation.tech/workers/onboarding), with the "Up next: we review your results — if you pass, we'll email you" and everything beyond it unchecked once again. I did contact support, but I've seen from a multitude of other posts that DataAnnotation basically never responds. Has anyone else ever experienced this before? Did I get fired... already? Was it because I held off on the task (though this confuses me since DataAnnotation doesn't have minimum work requirements, perhaps a month or year of inactivity would be an issue but I never expected 4 days to be enough to get booted), or is this more likely a strange bug on DataAnnotation's end? submitted by /u/doghutt to r/WFHJobs [link] [comments]

I was on the Thanks for Completing Assessments page for a few days now after finishing both and verifying my ID. Then today I finally saw I got a task!!! It was a mythological project that had multiple tasks. So this afternoon, when I had time, I sat down to start it and suddenly, not only had it disappeared, but I was back to the timeline where they were reviewing my work. But I went through all that already and I completed the ID verifcation even though it shows the bubble empty/incomplete. Is this normal or is this a really bad sign? I'd appreciate any help anyone could give me. Thank you. submitted by /u/Rogue_Darkholme to r/WFHJobs [link] [comments]

I competed the starter assessment and passed and then had to do an AI task (which response is better) I am left with this page and no emails. Would it say something else if I didn’t get accepted? submitted by /u/Admirable-Extreme-47 to r/DataAnnotationTech [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]

Hiring for a remote AI Data Reviewer role focused on software workflow analysis and AI response evaluation. This is NOT a traditional software engineering role. The work is centered around: analyzing screenshots of software interfaces Understanding user workflows reviewing AI-generated responses identifying inconsistencies and reasoning errors separating observable evidence from assumptions You’ll work with: dashboards admin panels CRMs SaaS tools modern web applications Strong fit for people with backgrounds in: QA/testing technical support UX research product operations technical writing annotation/review workflows Important: Attention to detail matters much more than “buzzword knowledge.” A big part of the work is being able to clearly explain: What the UI is showing what the user is doing What the system response is without inventing missing context. Remote Contract Flexible hours $25–$40/hr If interested, DM me: short background relevant experience and an example of a confusing/error state you handled in a product or workflow. submitted by /u/Mysterious-Draw-3897 to r/techjobs [link] [comments]

Screen changed from the thanks for completing to this, should I be hopeful? submitted by /u/Ok_Understandingalil to r/DataAnnotationTech [link] [comments]

Hi everyone. I've been mostly lurking here for a while but wanted to share my experience with DataAnnotation. A few weeks ago, I was brought on as a generalist who had to provide input on LLM output from various prompts. One thing I read here is that only a small percentage of applicants are selected, so I was excited to clear the first hurdle. I will say that my onboard quiz was challenging and took a while to complete. I was immediately given a few basics tasks to complete and then after that more tasks were made available. What I quickly discovered is some of the tasks were beyond what I could do in a reasonable amount of time while others were fairly easy. Both tasks paid about the same, so I started to focus on the easy ones first. By the end of the day, I had completed a handful and reported my time. I have not had any tasks since that day. That may mean that I didn't make the cut or they simply don't have additional work at this time. Overall, I am really glad that I took a chance on DA and did find some of the tasks worth doing. The ones that were very complex did not pay enough (IMO) to justify the time needed for me to do them successfully. Someone who is extremely detail oriented and fast would probably disagree. I appreciated the fast that we had a variety of tasks to check out, so if ones were not a great fit, we could pass on them. I currently spend most of my time working on a project for Micro1. I will post about that later. submitted by /u/PresentationFancy712 to r/WFHJobs [link] [comments]

Glimmertech is currently looking for individuals to join our team for map annotation tasks. This is a great opportunity if you're looking for entry-level work—no prior experience or degree required. FLEXIBLE WORKING HOURS⌛ What you’ll do: - Review and label map data - Identify locations, roads, and points of interest - Ensure accuracy and consistency of map information Requirements: - Basic computer skills - Attention to detail - Ability to follow simple instructions - Stable internet connection Perks: - Beginner-friendly - Training provided - Flexible work setup (depending on assignment) If you're interested or have questions, feel free to send me a message or email [email protected] Note: Due to high volume of DMs, I may not reply to everyone immediately because of Reddit's limits. Please be patient or send me an email for faster reply. Thanks! submitted by /u/Dense_Marionberry109 to r/JobPH [link] [comments]

Hey everyone, I'll keep this short and simple. We're looking for people to help train AI systems. The work involves reviewing, labeling, and evaluating data that gets fed into machine learning models. Think of it as teaching AI to be smarter — and your expertise is what makes that happen. What kind of people are we looking for? Software developers — any language, any stack Language people — writers, translators, editors, linguists, teachers Subject matter experts — law, medicine, finance, science, education, engineering, or really any specialized field Anyone detail-oriented who's curious about AI and comfortable working with data and guidelines What does the work actually look like? It depends on the project, but here are some examples: Reviewing and labeling text, code, images, or audio Evaluating AI-generated responses for quality and accuracy Comparing outputs and picking the best one Flagging errors, bias, or harmful content Following detailed guidelines to keep everything consistent What you need: Attention to detail (this is the big one) Good reading comprehension and analytical thinking Ability to follow instructions carefully A computer and reliable internet Comfortable working independently and remotely Nice to have but not required: Experience with annotation, AI training, or content moderation Programming skills (Python, JavaScript, SQL, etc.) Fluency in multiple languages Background in a specialized field Familiarity with machine learning or NLP concepts What's in it for you? Fully remote and flexible Work on real AI projects that actually matter Multiple roles available depending on your background Learn about AI and machine learning as you go No, you don't need to be an AI researcher. If you can think critically, follow guidelines, and do quality work, you're exactly who we're looking for. If you're interested or want more details, drop me a DM submitted by /u/Vegetable_Eye8854 to r/B2BForHire [link] [comments]

Siema! Potrzebuje pracy z doskoku (najlepiej) B2B. LinkedIn ugina się od ofert typu „AI data annotator”, „AI trainer” itp., ale jak czytałem to większość jest scam-ish wg. info z neta (np. Telus). Które firmy zajmujące się tego typu zleceniami są godne zaufania? Szukam sprawdzonych poleceń, więc proszę tylko o firmy, w których pracowaliście wy lub wasi bliscy. Dzięki i miłego! submitted by /u/Neuromanceer to r/praca [link] [comments]

Hi everyone, I’m currently helping build a small team for data annotation work related to AI (LLMs). This opportunity is open to both: > Specialists in fields such as: Biology Chemistry Mathematics Physics Law Medicine Audio Engineering Hotel and Resort Management Computer and Information Systems Education Filipino Language > General applicants (graduates or those with strong work experience and good English skills) What the work involves: Reviewing and refining content so AI systems can produce more accurate and reliable responses. > You don’t need to be an AI expert, but you do need: Good written English Attention to detail Ability to understand and evaluate information We also provide guidance and support, especially at the start, so you won’t be left figuring things out on your own. Rates: Typically range from $5/hr to $25/hr, depending on your background and the type of tasks/projects assigned. 👉 There is a short evaluation process, as we’re building a team and aiming for quality. 👉 We also recommend starting with a small number of tasks so you can get a feel for the work before committing further. If you’re interested, you can: Comment below Happy to answer any questions 🙂 submitted by /u/YourLunaWhispers to r/JobPH [link] [comments]

A registered international team based in Kuala Lumpur, Malaysia is hiring a Part-Time AI Data Annotation Specialist to support structured data workflows and internal AI training processes. Position Type: Part-time contract Schedule: 10–15 hours per week (flexible, asynchronous) Compensation: approximately $45–$50/hour depending on accuracy and workload, with performance-based bonuses Responsibilities: Label and review short text (finance/fintech related) Categorize content using clear internal guidelines Identify edge cases and inconsistencies Maintain accuracy and follow structured workflows Requirements: Good written English Strong attention to detail Ability to follow instructions consistently Stable internet connection Application Process: Please reply to this post to express interest, then start a chat and share your weekly availability and any relevant experience (QA, data annotation, or similar). submitted by /u/SaltyStarlet to r/remoteworking [link] [comments]

Hi everyone, We’re looking for 2–3 people to join a small international team for a remote AI data labeling / annotation project. The work is simple and structured — mainly reviewing short text (finance-related), categorizing content based on clear guidelines, and flagging edge cases. No calls, sales, or outreach involved. This is part-time, fully remote work (around 10–15 hours per week), with flexible scheduling. Pay is approximately $50-70/hour depending on accuracy and task complexity, with bonuses for more advanced batches. A short paid trial task is included with onboarding. Requirements: Good written English Attention to detail Ability to follow clear instructions If you're interested, send a DM with your weekly availability and any relevant experience (QA, data labeling, or similar — optional). submitted by /u/SaltyStarlet to r/freelance_forhire [link] [comments]

Is there any fluff? Does it look good? Any thing off? Is it readable submitted by /u/Professional-Hunt267 to r/FAANGrecruiting [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]

Salary Range: 40k-45k In this position, you will be responsible for accurately annotating large datasets to help train machine learning models. Your work will directly impact the performance and success of AI systems, making this an excellent opportunity to start a career in the exciting world of artificial intelligence. Key Responsibilities: Annotate, label, and categorize various types of data (images, text, audio, video) as per project requirements. Ensure high-quality data labeling by following established guidelines and ensuring accuracy. Review and verify annotated data to ensure it meets the quality standards. Collaborate with the data science and machine learning teams to understand data requirements and provide feedback. Maintain and update data records, ensuring data is organized and easily accessible. Perform quality checks on labeled data and make corrections when necessary. Assist in maintaining and improving data annotation tools and processes. Learn and adopt best practices in data annotation and data management. Stay updated with the latest trends and advancements in machine learning and artificial intelligence. Skills and Qualifications: A degree in Computer Science, Information Technology, Data Science, or any related field (or equivalent experience). Fresher with no prior professional experience in data annotation but a strong interest in data-driven technologies. Basic understanding of machine learning, AI, or data science concepts (preferred but not mandatory). Strong attention to detail and ability to work meticulously. Ability to work independently as well as in a collaborative team environment. Good communication skills and ability to follow instructions accurately. Familiarity with basic data management tools (Excel, Google Sheets, etc.) is a plus. Enthusiasm for learning and contributing to cutting-edge AI/ML projects. Additional Information: This is an excellent entry-level opportunity for anyone looking to build a career in data science or AI. As a Data Annotator, you'll gain valuable experience working with real-world data and directly contribute to machine learning model development. If you’re passionate about technology and eager to learn, this could be the perfect starting point for your career! You can DM me or comment down for link submitted by /u/gradsiren2023 to r/IndiaJobsOpenings [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]

I completed the Core test 4 days ago and had been on the “we review your results” section, but today it changed to this screen, which makes it seem like my test didn’t register? It now also says “Take one more test…” yet I do not know coding. Anyone else get this screen and go on to be accepted? Do I need to open and skip all the coding test questions to get the process to advance? submitted by /u/FoxyJayde to r/WFHJobs [link] [comments]