Data Annotation Job

....annotations. It shows where the annotation like test.skip or test.... can specify the same user data dir to reuse browsing state... Mend Renovate. View the repository job log.

... artificial intelligence models. Known as data annotation, the work involves labeling and... 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...

...and want to send trace data to Sentry without adopting the... elementTimingIntegration captures Element Timing API data as Sentry metrics. It emits... virtual module for Nuxt pages data (SSR route parametrization) (#​... support for React component name annotation (#​19604) We added ... support for React component name annotation in Turbopack builds. When enabled... Mend Renovate. View the repository job log.

... communities for AI training (RLHF, data labeling, AI feedback). Maintained by... on AI training roles (RLHF, data annotation, AI feedback). It helps subject-matter... my time. Do a good job, adhere to all the guidelines...

... engineer or have a lucrative job with a pay sum of... (ML) models along with models, data pipelines, neural networks as well... work to train models or data annotation, or junior engineering ML prior... to overwhelmed, as per LinkedIn data. Does One AI Course Cut...: Covers essentials--Python, NumPy, Pandas, scikit-learn--for data manipulation and the basic ML...

... is Seller Support doing the job of Merchant InBound Coaching? By... Case ID 19764595781 for detailed annotation. Timeline: - Delivery Window: March... window problem exists using multiple data points. The defect has been...

...exporting and importing data at the Argilla data unit level—rather...Face storage for the right job Use a dataset repo ...or staging instance after major annotation milestones. (Argilla Docs) What ...with persistent volumes or managed data services, versioned dataset backup: ... checking whether the actual data disk is included. (Hugging .... (Argilla Docs) After each annotation milestone: export to Hub and ...

...when: you need speed labeling data is limited your differentiation is... workflow. (Hugging Face) What data to label Start with a ...invoice 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 ...

... support the TIMESTAMP WITH TIMEZONE data type. IAW MySQL. If you... and map any of these data types, you are already losing... also use the new @Legacy annotation to force the old behavior... to not attach sensitive binding data with OpenTelemetry (#​2941, thanks... setObject) (#​988) Add @Legacy annotation to restore old timestamp mapping... Mend Renovate. View the repository job log.

...large volumes of data and that such data may include personal data, creating privacy risks...to two practical rules: Write annotation guidelines before labeling at scale. ...not manually inspect the data, you can run a long training job on rows that are.... Collect only relevant, permitted data. Keep raw and cleaned layers .... Remove or mask sensitive data. Deduplicate. Split without leakage. Store ...

...the routing tag, a brief annotation from the Office of the... counting." The T'au produced data of admirable precision and crushing... classify, file. The External Liaison's annotation had been more explicit still... fed it the militia's personnel data (anonymised, stripped of identifying ...way of checking intuition against data, of catching errors that ...and thought was literally his job. He could also see -...

... its data annotation teams that train Grok, according to a series of job postings...

... its data annotation teams that train Grok, according to a series of job postings...

... plus multilingual… it’s a job single models struggle with. Especially...describe PPOCRLabel as a semi-automatic annotation tool for OCR that supports...irregular text, tables, and key-information annotation. Its export flow produces both ...best. (Hugging Face) PPOCRLabel / PaddleX annotation docs for bootstrapping labeled crops ... to calibrate expectations about data size and writer diversity. Bottom...

..., 11:06 AM) Uncle needs job to earn living. A day... data * **Clickworker** – small online tasks, surveys, and text categorization * **Remotask** – image annotation...

...when people are upset. The data was excellent." "Kraggoloth," she ... cognitive profile, file the data for the report she would ...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 ...

...when people are upset. The data was excellent." "Kraggoloth," she ... cognitive profile, file the data for the report she would ...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 ...

... think the Op has one job or part. What are the... a realistic and get the job done budget and know within..., or 4.330 and an annotation about the nature of the ... where everyone is just entering data into machines or copying info...

... the interests of getting this job done and not starting things... we get in, what's our job?" Helix turned one metal hand... in disciplined rows, servitors murmured data into the void, and officers... cheer. It was relief. Another annotation lay cramped in the margin, ...

... point for decoding repository file data. It: Tries DecodeYAMLObject first, then....go ) delete/worker.go Delete job No — deletes files then triggers... cleanup No — lists resources by annotation, doesn't read files Integration tests... filesystem deletion + sync, inline classic, job status verification, mixed K8s + classic...

... postgres-operator -l postgres-operator.crunchydata.com/data=pgbackrest –field-selector=status.phase=Running... backlog successfulJobsHistoryLimit/failedJobsHistoryLimit: 3 — caps Job object history The “held”:true... — no pgv2.percona.com/backup-in-progress annotation issues Remove the schedules block...

Hi Folks, I made a tool that draws statistics from LinkedIn job postings. Once per day I scan around 5000 Data Analysis job posts, run them through LLM to extract tool names and make a dashboard. I did those daily scans for the last 11 months so I have some data to share. I often see what I should learn posts here and I hope this will be a useful tool to address those questions. You can access the dashboard under https://prepare.sh/trends (no paywall) submitted by /u/Dubinko to r/dataanalysis [link] [comments]

Everyone talks about these platforms. Almost nobody tells you what the first week actually looks like. I spent time on both DataAnnotation.tech and Outlier.ai and here's the honest breakdown nobody gives you before you sign up. First, understand what these platforms actually are Both platforms pay you to train AI models. Your job is to rate responses, write prompts, rank outputs, or complete tasks that help AI systems get smarter. No experience required but that doesn't mean it's easy to get started. DataAnnotation.tech - What actually happens When you sign up, you go through a screening test. This is where most people fail and never figure out why. The test is not about being smart. It's about understanding what they want. Here's what they actually want: Clear, detailed written responses Honest ratings don't just rate everything 5/5, they flag that immediately Follow instructions exactly as written, even if they seem odd Tips to pass the first project: Read every instruction twice - the rubric tells you exactly how to score. Most people skim it and fail Write like you're explaining to a smart 15-year-old - clear, complete, no jargon Never rush - quality is tracked per task. One bad batch can get you removed Be consistent - if you rate one response 3/5, a similar response should also be 3/5. Inconsistency is the #1 rejection reason Grammar matters — even small errors hurt your score. Use Grammarly if needed Pay range: $15–$25/hour for writing tasks, less for simple rating tasks Outlier.ai - What actually happens Outlier is slightly more structured. After signup you take a skills assessment this determines which projects you get access to. Higher skill score = higher paying projects. So don't rush this test. Tips for Outlier first project approval: Choose your strongest skill for the assessment - coding, creative writing, math - pick one and go deep The onboarding task is a real test - treat it like a job interview, not a tutorial Read the style guide before your first task every project has one and violating it = rejection Short answers get rejected - they want depth, examples, and clear reasoning Your first 10 tasks define your score - go slow, be thorough. Speed comes later Pay range: $20–$40/hour for specialized tasks (coding, STEM), $10–$15 for general tasks DataAnnotation vs Outlier - Quick Honest Comparison DataAnnotation.tech Outlier.ai Signup difficulty Medium Medium–Hard First project approval Tricky if you rush Clear if you read guidelines Pay $15–25/hr $10–40/hr Best for Writers, general skills Coders, STEM, specialists Work availability Inconsistent More consistent Beginner friendly Yes, if patient Yes, with right skill The one thing that kills most beginners on both platforms They treat it like a gig app sign up, do tasks fast, get paid. Both platforms work opposite to that. Slow and accurate beats fast and sloppy every single time. Your rating score determines how much work you get access to. A low score in week one can lock you out of high-paying projects permanently. Start slow. Build your score. Then scale up. Important - Read This Before You Start Nobody tells you this upfront, so I will. Do NOT treat DataAnnotation or Outlier as your main income source. Here's the honest reality: Tasks are inconsistent - some days you get 5 tasks, some days zero. There's no guarantee of daily work First payment takes time - both platforms have a delay on your first payout. Expect to wait 2–4 weeks before you see your first rupee. Don't sign up if you need money this week Work can dry up suddenly - a project ends and your dashboard goes empty overnight. This happens regularly and you have no control over it You can't rely on it for rent So what is it good for? Think of it as side income while you build a real skill. Use the tasks themselves to get better at prompt writing, AI evaluation, and understanding how models think - that knowledge is worth more than the hourly pay. Treat the money as a bonus. Treat the experience as the actual asset. Bottom line Both platforms are legitimate. Both can give you $500–$1500/month with consistency but neither is passive and neither is instant. If you're a writer → start with DataAnnotation If you code or have STEM background → go straight to Outlier Have you tried either of these? Drop your experience below, would love to know what worked and what didn't. "If someone is promising you $3000/month on these platforms - they're lying. Consistent $300–$500/month is more realistic for most people starting out." submitted by /u/Ok-Method-npo to r/AIIncomeLab [link] [comments]

Thanks everyone for the great response last time! Had lots of great interactions and successful sign ups. I'm posting this again for those that may have missed it before. Hiring bilingual individuals fluent in English + Arabic to help train AI chatbots on bilingual tasks (rating responses, rewriting, translation comparisons, following clear guidelines). Remote + flexible schedule Starting pay: USD $25+/hr (rate varies by task) No prior AI experience required (training provided) Must be 18+ to apply To apply: DM me and include (copy/paste format): Languages (EN + native): Location (Country of current residence): 18+ (Y/N): Education (1 line): Relevant Experience (Translation, AI) (1-2 lines): 2) After you DM, please comment "DM sent". No fees. Please don't post personal info publicly. submitted by /u/NMQDS to r/EgyRemoteWorkers [link] [comments]

I currently work for a company Training/Testing AI, and honestly, I have been absolutely loving and very appreciative of the opportunity. I currently work for the company in a "Generalized" capacity without any specialization, but they seem to be specifically looking for people with backgrounds in Law, Medicine, or Finance, so people with those backgrounds may have an advantage at being accepted. People with specialized backgrounds will generally make more than those who don't ($40-50+/hr vs $20-40/hr). In order to be accepted to the platform, the depth of your knowledge and work habits will be tested via an assessment. It should be noted that the VAST MAJORITY of people who take the assessment do not pass or are not accepted. It seems to be literally ~2-3% of applicants who successfully pass the assessment and are onboarded. Additionally, most of the work is EXTREMELY BORING, requires high-level English reading/writing comprehension, and a copious amount of reading (basically non-stop), but some can actually be more interactive/fun (Video/Audio Creation, Safety Testing, etc.). Honestly, though, if you are not inclined to COPIUS amounts of reading (basically non-stop), don't have an acute attention to detail, or have trouble following somewhat technical (not complicated) instructions, then you likely wouldn't be suited to the job. Not trying to be rude, just trying to be honest, so no one wastes their time. Company: Data Annotation Tech Title: AI Annotator Location: Remote - International Pay Rates: $20-50+/hr USD Payout Method: PayPal Only Work Type: Contract/"Gig" work - Potentially full-time based on which "Qualifications" can be passed. While the work type is akin to "Contract/Gig Work", my experience since being onboarded and passing the "Qualifications" assigned to me has been awesome. The work has been perpetually available 24/7 for me, with upwards of 30+ tasks at any given time, and a long list of additional Qualifications that I can attempt to unlock more work at any time I want to. That being said, some people do experience "Work Droughts" from time to time. These are mostly either due to regional location and the work that is available there, or the quality of work that has previously been submitted. They are looking for extremely high-quality individuals only, so keep that in mind. Quality over Quantity is always the best mentality. With all of this being said, you are free to apply to the company directly (of course), but I do have a limited number of referrals (5 per day) that I can hand out to people. If you choose to contact me (via DM) to receive a referral, I have also developed a very informative copy/paste message that highlights deeper company info and provides tips for being successful on the assessment (which have helped me, as well as a few others), as well as an FAQ for the most common questions that I have received. Just let me know what you are looking for if you reach out. (Just a heads up, while I do have extra referrals available today due to stockpiling, these types of posts/comments generally get a fairly large response, so the referrals may be eaten up quickly. In the event that this happens, I will sometimes create a wait list, but I tend to prioritize North American Individuals with the backgrounds being specifically sought by the company (Law/Finance/Medicine), as they will have a higher likelihood of success on the assessment.) submitted by /u/XodusDG to r/WFHJobs [link] [comments]

Sharing a side job that might suit people looking for simple, structured online work. The role involves: Labeling short pieces of text (finance-related) Categorizing content based on guidelines Flagging unusual cases Doing quick accuracy checks No calls, no sales, no outreach — just focused task-based work. Details: 10–15 hours per week Fully remote and flexible (can be done alongside a main job) Pay: around $45–$50/hour depending on accuracy and task type Some projects include bonuses for more complex tasks Paid trial task before starting Requirements: Good English Attention to detail Ability to follow clear instructions submitted by /u/SaltyStarlet to r/SideJobs [link] [comments]

Welcome to the Data Annotation megathread. This is the place to discuss (or complain about) Data Annotation.   Please be aware that we have been seeing unusual activity on our subreddit related to this company. There have been a swarm of new and inactive users mentioning both good and bad things about this company. We highly recommend being cautious and using good judgment when reading any of the comments below. You can view the previous thread here.   FAQ What is the website? https://dataannotation.tech/   How much does it pay? It depends on what tasks you do and how much work you have available. Their website claim that "Most folks average $20+/hour". However, there have been many reports of users earning as low as $10/hour.   Why don't I have any tasks? Your best bet is contacting their support. We currently have one staff member present on our subreddit: u/JeremyDataAnnotation   What countries does it work in? US, UK, Canada, Ireland, Australia, and New Zealand submitted by /u/Beermoney_Bot to r/beermoney [link] [comments]

💼 Hiring Remote Image Data Annotators ($5–$8 per 1,000 Images) We’re currently expanding and looking for detail-oriented individuals to join our remote image annotation team. This is simple, structured online work where you label and tag images following clear guidelines. Beginner friendly, but accuracy is important. 💰 Compensation • $5 per 1,000 images (starting rate) • Increased to $6 per 1,000 with good accuracy • Up to $8 per 1,000 for consistent high-quality work Your rate increases based on performance and approval score. 📱 Device Compatibility • Can be done on mobile or desktop • Works on browser • No special software required If you’re comfortable using your phone or computer for structured tasks, you can do this. 📌 Responsibilities • Annotate and label images according to instructions • Follow quality guidelines carefully • Maintain good accuracy • Complete image batches consistently ✅ Requirements • Basic device/computer knowledge • Attention to detail • Ability to follow written instructions • Consistency No prior experience required. Guidance material is provided. This role is ideal for students, part-time earners, or anyone looking for remote task-based work. If you’re serious and ready to start, DM me directly for onboarding details. Only message if you can commit to doing the work properly — quality determines your pay tier. submitted by /u/rajlify to r/freelance_forhire [link] [comments]

I currently work for a company Training/Testing AI, and honestly, I have been absolutely loving and very appreciative of the opportunity. I currently work for the company in a "Generalized" capacity without any specialization, but they seem to be specifically looking for people with backgrounds in Law, Medicine, or Finance, so people with specialized backgrounds may have an advantage at being accepted. People with specialized backgrounds will generally make more than those who don't ($40-50+/hr vs $20-40/hr). In order to be accepted to the platform, the depth of your knowledge and work habits will be tested via an assessment. It should be noted that the VAST MAJORITY of people who take the assessment do not pass or are not accepted. It seems to be literally ~2-3% of applicants who successfully pass the assessment and are onboarded. Additionally, most of the work is EXTREMELY BORING, requires high-level English reading/writing comprehension, and a copious amount of reading (basically non-stop), but some can actually be more interactive/fun (Video/Audio Creation, Safety Testing, etc.). Honestly, though, if you are not inclined to COPIUS amounts of reading (basically non-stop), don't have an acute attention to detail, or have trouble following somewhat technical (not complicated) instructions, then you likely wouldn't be suited to the job. Not trying to be rude, just trying to be honest, so no one wastes their time. Company: Data Annotation Tech Title: AI Annotator Location: Remote - International Pay Rates: $20-50+/hr USD Payout Method: PayPal Only Work Type: Contract/"Gig" work - Work potentially available full-time based on which "Qualifications" can be passed. While the work type is akin to "Contract/Gig Work", my experience since being onboarded and passing the "Qualifications" assigned to me has been awesome. The work has been perpetually available 24/7 for me, with upwards of 30+ tasks at any given time, and a long list of additional Qualifications that I can attempt to unlock more work at any time I want to. That being said, some people do experience "Work Droughts" from time to time. These are mostly either due to regional location and the work that is available there, or the quality of work that has previously been submitted. They are looking for extremely high-quality individuals only, so keep that in mind. Quality over Quantity is always the best mentality. With all of this being said, you are free to apply to the company directly (of course), but I do have a limited number of referrals (5 per day, but I have about 20 stockpiled) that I can hand out to people who reach out to me. If you choose to contact me to receive a referral, I have also developed a very informative copy/paste message that highlights deeper company info and provides tips for being successful on the assessment (which have helped me, as well as a few others), as well as an FAQ for the most common questions that I have received. submitted by /u/XodusDG to r/RemoteJobseekers [link] [comments]

I’ve been doing this job part-time for over 6 months now. At the beginning, I honestly didn’t understand how this industry works. From what I’ve seen, for about 90% of people, this is a side hustle, but a small group tries to make a living out of it (which I personally don’t recommend, at least not long-term). I’ve also noticed there seem to be around 10–15 companies in this space, with very different project flows and worker sizes. So I wanted to ask everyone here about your experiences in this industry. Personally, if you have steady projects, that’s great, but if you’re sitting empty, I don’t think it’s always your fault. A lot of it seems driven by market demand. This also feels like it used to be more niche before the boom of language models like ChatGPT (if I understand it correctly). I’ve seen people discuss how pay dropped significantly, for example, from $30/hr to $15/hr, or even below minimum wage in some cases. It seems like the work has become more “generalist,” but there’s still demand for domain experts in certain areas. And since many companies are still building new AI technologies, we may see more training and evaluation work, but, honestly, I’m not even sure what skills matter most anymore, let alone how someone would turn this into a career. I don’t mean this in an offensive way at all. I’m genuinely curious and I’d love to hear your thoughts. submitted by /u/Airpodaway to r/WFHJobs [link] [comments]

Hi everyone, I’ve been seeing ads for DataAnnotation jobs where you label AI data, compare chatbot answers, correct text, etc. I’m thinking of trying it for some extra income, but I’m not sure if it’s legit or one of those online scams. If you’ve done it before, what’s the actual process like? Do you apply → take a test → get tasks → get paid weekly/monthly? Is the work consistent and payment reliable? Just want honest experiences before signing up. Thanks! submitted by /u/Prestigious-Look2300 to r/AskIreland [link] [comments]

https://preview.redd.it/iut74g58u9jg1.png?width=1246&format=png&auto=webp&s=dea26cfac5f6a866919dd36fd6e695583cbad031 After spending more than a year on Data Annotation, and having absolutely no work since last June as a bilingual, I suddenly received a qualification task asking what languages I speak (lol, I know, right). After I submitted it, the next day the main page looked like this... Well, it’s time to say goodbye officially. I’ve really enjoyed sharing memes here with you guys. Keep up the good work, all of you! And now it’s time for me to move on to my next chapter submitted by /u/SportVegetable2529 to r/DataAnnotationTech [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]

Hndi ganun kalaki yung bigayan, pro makakarami ka if you decide to go full time hours. Pay nila dati is at 2.5$/Hr pero nabago eto at 0.1$/Min.(6$/Hr) within December dahil sa spam work just to earn more kahit na compromise nila yung quality ng work at mali2 yung output. But it does pay, and if dedicated ka to work, follow rules and guidelines, ensure quality output. you can earn more. Payment method nila via Binance or Wise. Btw' it's a Machine-learning job, Data annotating a video na hinati hati into segment. your job is to label a segment correctly and based sa nakikita mo sa Video in a segment. Here is my [referral code](https://audit.atlascapture.io/?ref\_id=69684d6025eaca67196402d1) in case interested ka, di nman mababawasan sahod mo, babayaran lang ako ng very slight 😊 submitted by /u/Wise-Finding8308 to r/beermoneyph [link] [comments]

Hi everyone. I recently got sent a message on LinkedIn by a recruiter from Morpheus Talent Solutions for the role of Data Annotator for which I need to do a test. Everything seems normal to me except the fact that the recruiter’s profile is very recent. Does anyone have any experience with them? If so any tips for the test and any general for these jobs? submitted by /u/Wonderful_Access980 to r/TranslationStudies [link] [comments]

I joined DataAnnotation in December 2024. Back then, I was working at a digital marketing agency and needed some extra income. I came across an advertisement promoting DataAnnotation, and I decided to apply as a Spanish (Spain) Bilingual AI Trainer. I took an initial assessment, and approximately two weeks later, I got an email informing me that I had passed the assessment. The job is pretty straight-forward. You are assigned to projects in which you essentially train artificial intelligence models, and each project has its own characteristics - Some focus on training text-based models on specific topics such biology, mathematics or finance, others on training models on image processing or audio transcription… I have been working here almost daily since I joined, and I make a stable income that has allowed me to travel to multiple countries this year - Greece, France, Germany, Ireland... I have always wanted to travel more, but I never had the money to do so in the way I wanted, until I started working here at DataAnnotation. At the moment, I’m earning between €2,000 and €3,000 net monthly, or between $2,300 and $3,500, approximately. This is actually enough to pay my rent, bills, and to save a decent amount of money. The earnings depend on project availability and, obviously, the hours worked. DataAnnotation pays between $20/h and up to $40+ per hour. Now, I can’t say that passing the initial assessment is easy, or that achieving a consistent income is guaranteed. The latter requires dedication and giving it your all, when it comes to work quality. But, I encourage you to apply and try, if you are looking for a flexible and dynamic work-from-home job. It has honestly been life-changing for me - I set my own schedule, work when and where I want (in my home country, or in any other country I travel to), and contribute to really interesting and exciting projects. Feel free to DM me or leave any questions in the comments, if you have any doubts or would like to know more! Here are DataAnnotation’s handles and usernames. You can also learn more in their social media: Facebook: DataAnnotation Instagram: dataannotation.tech TikTok: dataanotation.tech X: DataAnnotation LinkedIn: DataAnnotation submitted by /u/Ticoput to r/WFHJobs [link] [comments]

LinkedIn boolean search got rid of most of them but for whatever reason DataAnnotation appears MORE when I type "NOT DataAnnotation". There really are no jobs for 2023 graduates without experience. And internships and "new grad" positions are unattainable for obvious reasons. I've basically aged out of the workforce at 25. submitted by /u/chetemulei to r/cscareerquestions [link] [comments]

Hi, I am looking for any AI data annotation jobs for the basic generalist roles that pay 20+? I am already on Stellar AI and didn’t get on DA. Have noticed most other companies only pay around €15. Thanks submitted by /u/Bottle_Formal to r/WFHJobs [link] [comments]

Genuine Question po, Is innodata legit? I applied for them a week ago, then I got an email from them last sunday about taking all 3 assessments: The LLM Evaluator, Versant Test, and Resiliency Assessment, which I didn't received any results and which I'm not confident that I could pass the assessments. I just finished taking the assessments this Tuesday and received an email now about a Job Offer and will sign, not the contract because it will be further discuss before my joining date. So is this really legit? It seems a little easy to pass immediately like any other scams out there after taking tests and all. It feels like they are legit and sketchy at the same time. Have any of you experienced this in applying for a data annotator at Inndota? -PH based🇵🇭 submitted by /u/No_Replacement_5392 to r/remotework [link] [comments]

Someone from Data Annotation reached out offering a $20/hr side gig to train/research on various AI models. Has anyone from this group worked with them before? Is the payout genuine? Asking because it looks like easy money to me. Something which sounds too good to be true submitted by /u/thegr8_alexander to r/overemployed [link] [comments]

August 5, 2025, adding an edit here to provide the text of this lawsuit, since people have now DM'd me to ask how to join the class. I thought it would be helpful for people to have the actual text so they can examine its claims. You can reach out to this law firm to see what to do about joining: https://clarksonlawfirm.com/wp-content/uploads/2025/05/2025.05.20-Surge-Labs.pdf original post follows... ------- I'm writing this here so prospective applicants and DATs current workers can know about this lawsuit and the dangers of working for DAT and possibly other data annotation companies. Here is a link to an LA Times article about the lawsuit: https://www.latimes.com/business/story/2025-05-21/surge-ai-is-latest-san-francisco-start-up-to-face-lawsuit-for-allegedly-misclassifying-data-labeling-workers SurgeAI seems to be the parent company of DataAnotation Tech, among others. If anyone can confirm this with a definitive source that's better than this, please post it in the comments: https://time.com/6962608/data-annotation-legit-tech-jobs-ai/ There is no transparency from DataAnnotation to its workers or the public about who it works for, on what, or what these application tests are really testing for, even just for applicants who are not accepted. Contracted workers at DAT are required to do unpaid, ongoing tests, according to their own reports on Reddit. Rejected applicants are not paid for their time and are left hanging—forever. (they are never told that they failed) The work assignment model seems to be like "we unpredictably throw random amounts of royal cake crumbs to the little people from the window of our tufted, golden carriage". The work pays very little per hour (most is around $20) for the kind of detailed, educated, tech-savvy work they offer. And the work is reportedly very spotty or non-existent for some who are accepted. (How do you like doing hours of application work for free, only to be told you are accepted and will now have hourly work but never get any work or payment for hours already given?) Moreover, DAT lies about the time required to apply as a worker; it claims the test takes about 1 hour. This is laughable considering the test I took required several careful hours of work. (I'm tech savvy and have years of research experience through my main job) After I "passed" that first one, there was at least one other much longer required test that took an entire work day to do correctly with the detail and sourcing requested by DAT. When I signed up to apply, I committed to 1-2 hours of application work for very low, hourly pay, which wasn't great, but it took over 10 hours to do correctly. (perhaps there are multiple tests?) There was no indication of how long the test would be as you were taking it, so you keep thinking, "this has got to be the last question, holy cow!" which is then followed by several other questions as you suppress your growing outrage at their greed. There is no way to know when it will end. (So ask yourself why they make the length such a mystery as you do the test? Is it because no one would agree to do their tests for free if they knew how long they would take and how tedious they are? Is it because they rely on everyone's sunk-costs to propel them through this ridiculous process? Yes, I suspect.) The entire application took me two days. As I said, they don't tell people if they are rejected so people wait around wondering for weeks. If everything on their platform is so automated, why can't they let people know if they failed the test? This was a choice on their part. Ask yourself why. One develops a growing sense of "I'm being scammed" as one goes through the DAT gauntlet. Further, DAT seems to serve Microsoft's AI, at least according to some online comments, including this article. This is from the above-linked Time article, *"*Similarly, Taskup.ai, DataAnnotation.tech, and Gethybrid.io are reportedly subsidiaries of Surge AI, another data labeling provider that serves clients including Anthropic and Microsoft" The reason that's particularly concerning with respect to both human rights and workers' rights is this: "Several reports have alleged Israel’s use of Microsoft’s AI and cloud services technologies in its attacks against Palestinian civilians and civilian objects, which have been labeled war crimes and crimes against humanity. There is broad agreement among prominent international organizations, scholars, and the international community that these attacks constitute genocide." link to source: https://afsc.org/newsroom/unprecedented-investor-action-demands-microsoft-answer-reported-involvement-gaza-genocide which is a quote from the recent article about the unprecedented investor action demanding Microsoft answer for reported involvement in the Gaza genocide. If DAT is involved with any company participating in this, their workers should be informed of this so they can provide informed consent to work there. Currently all of this is hidden from DATs workers. No way to know. Since DAT lied to me and other applicants about how long and involved its test(s) would be, I'm wondering what else they are keeping from potential and current workers. We should all be concerned about what they are testing, what data they are collecting, how much they profit off of our work and if that work is supporting huge operations that threaten human rights, workers' rights and citizen's privacy along with freedom of speech. (no dissent allowed on their own sub Reddit, by the way and no probing questions) Since they are reportedly a billion-dollar company, I think they can afford to pay and treat their workers well. I'm sure that this lawsuit will become a quietly negotiated settlement, but we all have to bear in mind that no law firm takes on a class action suit without lots of credible evidence. I think we need to look there for the confirmation of our suspicions, not the outcome of the lawsuit, since DAT's deep pockets can make it go away while they continue operating in the shadows, quietly transforming the future landscape of work. We should all be concerned about what's to come if this kind of black box operation is allowed to continue. submitted by /u/Consistent_Pop1568 to r/WFHJobs [link] [comments]

I'm in a situation where I urgently need to start supplementing my income. On paper, the best option seems to be data annotation work. I've tried a hand full of them, and seem to have hit a wall after doing the assessments. When I search online discussion for the companies by name (DataAnnotation, Outlier, Alignerr, etc.) it seems a lot of people are in this boat. I get the feeling I had my chance to jump on this stuff and I missed the bus. I'm just curious if companies like this are still actively taking on new workers, and if it's feasible to hop on board a new site within a matter of days and start earning. I know these sites are very hyped, which in this job market probably means they're swarmed by people just like me. Last time I was in the crowdsourced gig work game was whenever humans still got hired to do transcription work... at least ten years ago. I live far, far away from the nearest city or even town, so even a part time job is not an easy option for me. I currently work full time remotely, but my income alone is sinking us. I have no second languages, and no skills like coding to stand out. Are there surefire sites out there that I could jump into and try to start bailing myself out of the mess I'm in? submitted by /u/Unfair_Amphibian_495 to r/WFHJobs [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]