Data Annotation Tech

... mentally manageable as possible?" The data annotation thing works, and it might... have only tried https://dataannotation.tech/ so far and it was...

... two years, according to ADP's data. The intrigue: The Bank of... line is that in our data, the labor market momentum — in... to watch: According to these data sets, there is little sign.... ​ While most attention remains on tech, clean energy stocks (PBW) have... that it isn't merely a data annotation company, but has long been ...

... erstellen kann. Kimi K2.6 Tech Blog: Advancing Open-Source Coding Kimi.... Primary sources (official websites, government data, academic papers) 2. Reputable secondary... and optionally include a confirmation annotation in the same bracket format...

...the buyer, the tech company plans to use the data to develop an ...다. Meanwhile, the Guangzhou Data Exchange is hosting oncology imaging ... is mandatory before any data hits the market. 다시 ...dirty" and unusable without rigorous data governance, which involves cleaning and annotation -- a mandatory step before ... costs to sanitize their data to an acceptable standard, but tech companies see little value in ...

... the doors to more efficient data insertion, deletion and selection -... and the more complex the data model, the greater the advantage... vector search or the definition/annotation of complex data patterns with much greater... doing to marry their database tech with quantum implementations; who they...

... the doors to more efficient data insertion, deletion and selection -... and the more complex the data model, the greater the advantage... vector search or the definition/annotation of complex data patterns with much greater... doing to marry their database tech with quantum implementations; who they...

... real-time inference • CVAT for high-quality annotation and model accuracy What you...& Defense Operations Industries : Space Tech & Defense | AI Event ...of Space Tech & Defense environments: Secure Edge Processing: Localized data processing...fault tolerance in mission-critical scenarios Data Encryption: Secure communication between ...Control: Controlled access to system data and event logs Auditability: ...

... artificial intelligence models. Known as data annotation, the work involves labeling and... like Ciriello. Their clients include tech giants like OpenAI, Google and... using their expertise for AI data training is becoming the new...

...millions, of precisely labeled data points. For many tech firms, managing this ...of data diversity and bias mitigation, companies can achieve: Superior Accuracy: Professional-grade annotation ... firms are solving the data bottleneck, I highly recommend exploring ... on outsourced AI training data. It covers the technical frameworks ... foundation of high-quality, verified data. What’s your take? Are you ...

... employees were telling customers.→ Third-party data annotation is the invisible layer of... data protections, and are bound by NDAs.→ Bystander consent in wearable tech...

... photos and organize them. Big tech companies have no shame. In... interest. This work is called data annotation. When AI was a research...

...of tradeable digital services (data labelling/annotation, content moderation and other... applications Data Quality LMICs often rely on models developed by large tech companies ...with training data that might be less ... populations that most tech companies don't serve Build solutions ...on agricultural technology, health tech, or fintech, technical roles building ...

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]

Create a post about how long it takes to hear back after initial assessment. Create a post about how to get more projects. Create a post about how you’re so happy that you made 40k in your first 3 months, while churning out high quality work. Create a post complaining about drought. Create a post with a screenshot of death screen and ask: “is this the end??” Tell people DA is a scam. submitted by /u/Visible_Equipment_69 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]

Data Annotation has saved my ass financially and allowed me to help out my loved ones. Couldn't ask for a better job. I've been working about 2-3 hours a day, 5 days a week, for just over 2 years. Yay $40k! submitted by /u/paranormalisnormal to r/DataAnnotationTech [link] [comments]

https://preview.redd.it/5sdzng834m0h1.png?width=701&format=png&auto=webp&s=9d025288e5b352307cefca47f66a6fbcf47d9769 Got this email today from data annotation about 2 days after I completed the assessment. Does this mean I got accepted/passed. The qualifications were just to verify and link my paypal. submitted by /u/Fsty420 to r/WFHJobs [link] [comments]

I started working on DA a few days ago as I was recently accepted into Generalists and I've made about $400. I was tasking on a model on DA a few minutes ago and after submitting I was redirected to the projects homepage where you can see the project tab, qualifications, surveys and Report Time all showing 0. Meanwhile when I started a particular task I had about 14 tasks on my projects tab. Has anyone experienced this ? What could be the issue? submitted by /u/uzobankz 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]

submitted by /u/Away-Chipmunk8112 to r/DataAnnotationTech [link] [comments]

I’ve made a few posts before referring people to remote AI training opportunities. From what I’ve seen, the applicants who tend to pass the assessment and continue receiving steady projects are usually fluent in both English and Spanish, have at least a bachelor’s degree or equivalent, and often have a background in computer science or a related field — though that background is not required. The work involves bilingual AI training tasks, including things like translation, response evaluation, and checking for accuracy. No prior AI experience is required, and the projects come with clear written instructions. Starting pay is $20/hour, though many projects pay more, and there are additional qualification tracks for coding and other specialties that can pay $40/hour or more. If this sounds like a good fit and you’re interested, I just ask for a few details so I can stay organized and help point you in the right direction. Please DM me using this format: Languages: Location (Country): 18+ (Y/N): Degree: If you have a moment, please also comment “DM sent.” Thanks. No fees. Please don’t share personal information publicly or in DMs. submitted by /u/NMQDS to r/Devmexico [link] [comments]

I have completed the initial assessment and also did one of the qualifications test (Core). I was waiting on results and my dashboard looked like this morning when i checked. All the other qualifications disappeared. What does this mean? Has anyone been in similar situation? submitted by /u/Serious-Pirate4104 to r/WFHJobs [link] [comments]

He publicado anteriormente en otros hilos sobre México y ha sido genial ver cómo varias personas han logrado entrar a Data Annotation Tech. He notado que quienes pasan la evaluación y mantienen proyectos constantes son bilingües (Inglés/Español), tienen licenciatura o equivalente, y frecuentemente cuentan con experiencia en computación o TI (aunque no es obligatorio). Sobre el rol y la modalidad: Es un trabajo 100% remoto. Se trata de entrenar modelos de IA en tareas bilingües, traducción y precisión. No se requiere experiencia previa en IA, ya que cada proyecto tiene instrucciones claras. Detalles importantes: Pago: Inicia en $20 USD/hr. Proyectos de programación o especialidades pueden pagar $40 USD/hr o más. Carga de trabajo: Es un esquema por hora y el volumen depende de la demanda de proyectos disponibles en la plataforma. Esquema: Es como contratista independiente (freelance), por lo que no cuenta con prestaciones adicionales. Si esto te interesa y quieres que te oriente un poco más, para mantenerme organizado te pido que me mandes un DM en inglés con este formato: Languages: Location (Country): If 18+ (Y/N): Degree: Si tienes un momento, comenta "DM sent" para estar al pendiente. ¡Suerte! submitted by /u/NMQDS to r/taquerosprogramadores [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]

submitted by /u/Numerous_Radio_2048 to r/DataAnnotationTech [link] [comments]

Sharing a remote opportunity – Data Annotation Tech (AI training, flexible hours) 💼 Work from home training AI — flexible hours, remote, no AI experience required. Pay starts at around $20/hr (with bonuses). 👅 You can select your native/fluent language from a long list (Arabic, English, Spanish, Tagalog, Korean, Hindi, etc.). 🧠 Tasks listed include: •Tagging images & videos for AI •Transcription & audio analysis •Writing/correcting ideal responses to AI prompts(all aimed at improving AI models) 👩‍💻 The application process is basically: •Create an account •Complete a short assessment •Choose tasks & get paid remotely They also show testimonials on the page from people claiming it’s flexible and decent income. If you’re looking for extra online income or flexible side work, it might be worth checking out and trying the assessment. If anyone here has already worked with them, feel free to share your experience too! Hope this helps someone looking for online work 🙌 submitted by /u/ImmediateYouth5180 to r/JobPH [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]

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]

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]

Hi all, I know data annotation can bring in some good money with flexible hours, but the big problem is reliability. I've found the best approach is to have access to work on a few different platforms so that is work dries up on one you are now left without income. Given that, I compiled a list of every data annotation company currently active, thought some people here would find it useful. If you find any more, please add them below! Scale Appen Revelo Telus Digital Clickworker dataannotation.tech Joinstellar Welocalize Alignerr LXT One forma OpenTrain AI Snorkel AI Lionbridge AI CloudFactory iMerit Samasource Playment Mighty AI Figure Eight DefinedCrowd Reality AI Cogito Tech Trilldata SuperAnnotate Labelbox Clickworker Toloka Hive AI Blomega Turing Innodata Mercor Surge AI Invisible Tech Aligned AI Datacurve Sepal AI Defined AI Centific Anthromind Welodata Macgence Acgence Deepchecks Segments.ai Bright Data Human Signal Humans in the Loop Label Your Data CVAT submitted by /u/passn 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]

DataAnnotation is an online platform where you can earn $15+/hour for a range of projects: interacting with AI chatbots, creative writing, research projects, and more. You choose the work that interests you the most! DataAnnotation offers: Competitive Pay: Earn $15+ an hour Flexible Schedule: Work at your convenience — work is available 24/7/365) and some projects have unlimited tasks Engaging Work: Many projects involve interacting with AI chatbots like ChatGPT, which can actually be pretty fun :) Proven Track Record: We've paid out millions of dollars to our contributors Quick Withdrawals: There's no minimum to withdraw and we pay via Paypal DataAnnotation operates worldwide, but we're currently accepting new sign ups from: US, UK, Canada, Ireland, Australia, New Zealand. We’ll be adding additional countries soon, so you are welcome to sign up no matter where you are from, and we’ll notify you when there is work available to you. New users need to pass a starter assessment and will receive an email if/when paid work is available to them. Sign up today! Or visit our (newly improved!) website to learn more.   Requirements: You must have posted on reddit prior to today and within the last 12 months. Removed posts/comments, giveaway entries, referral chains, and other low effort or off topic posts/comments do not qualify. Leave a top level comment below to enter the giveaway. Giveaway will end around June 14th 2023     Leave a top level comment below to enter this giveaway! Winners are chosen randomly with a script that was written for our giveaways and verified by our mods. After the giveaway ends, a new post will be made naming the winners for this giveaway. Stickying and posting this giveaway does not indicate endorsement or any affiliation with the above mentioned company. Note: The moderators do not benefit in any way from this giveaway. This is all for you guys. submitted by /u/beermoneymods to r/beermoney [link] [comments]

GIVEAWAY OVER, WINNERS WILL BE PICKED THIS WEEK DataAnnotation is an online platform where you can earn $15+/hour for a range of projects: interacting with AI chatbots, creative writing, research projects, and more. You choose the work that interests you the most! DataAnnotation offers: Competitive Pay: Earn $15+ an hour Flexible Schedule: Work at your convenience — work is available 24/7/365 and some projects have unlimited tasks Engaging Work: Many projects involve interacting with AI chatbots like ChatGPT, which can actually be pretty interesting :) Proven Track Record: We've paid out millions of dollars to our contributors Quick Withdrawals: There's no minimum to withdraw and we pay via Paypal DataAnnotation operates worldwide, but we're currently accepting new sign ups from: US, UK, Canada, Ireland, Australia, New Zealand. We’ll be adding additional countries soon, so you are welcome to sign up no matter where you are from, and we’ll notify you when there is work available to you. New users need to pass a starter assessment and will receive an email when paid work is available to them.   Requirements: You must have posted on reddit prior to today and within the last 12 months. Removed posts/comments, giveaway entries, referral chains, and other low effort or off topic posts/comments do not qualify. Leave a top level comment below to enter the giveaway. Giveaway will end around May 14th 2023     Leave a top level comment below to enter this giveaway! Winners are chosen randomly with a script that was written for our giveaways and verified by our mods. After the giveaway ends, a new post will be made naming the winners for this giveaway. Stickying and posting this giveaway does not indicate endorsement or any affiliation with the above mentioned company. Note: The moderators do not benefit in any way from this giveaway. This is all for you guys. submitted by /u/beermoneymods to r/beermoney [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.   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]