Remote data annotation jobs pay you to label, rate and review the data that AI models learn from, and nearly all of them can be done from home on your own schedule. Most people find this work in one of two places: contractor platforms such as DataAnnotation, Outlier and Mercor, which you join through their own sign-up and assessment process, and salaried annotation, AI trainer and data operations roles at AI companies, which are posted on those companies' career pages. In September 2026, pay ranges from about $15 an hour for basic labeling to more than $100 an hour for coding and expert work.

Data annotation is one of the fastest-growing remote job categories in tech, driven by the surge in AI and machine learning development. Every LLM, computer vision model and recommendation system needs labeled training data, and companies are hiring thousands of remote annotators to produce it. This guide covers where to find these roles, what they pay (with a date and a source for each current figure), and how to stand out as a candidate.

What Is Data Annotation?

Data annotation involves labeling, categorizing and reviewing data so that machine learning models can learn from it. This includes tagging images, transcribing audio, rating AI outputs, classifying text, and reviewing model responses for accuracy and safety. The work ranges from simple categorization tasks to complex evaluations that require domain expertise.

These are the most common types of remote data annotation work:

Image and video annotation means drawing boxes or outlines around objects and tagging what they are, which is how computer vision models learn to recognize things.
Text annotation means classifying, tagging or correcting text, for example labeling the sentiment of a review or the names and places in a sentence.
Audio annotation means transcribing speech and labeling speakers, languages or sounds.
AI training and RLHF means writing prompts, rating chatbot answers, comparing two responses and explaining which one is better, and it is the work most AI training platforms now advertise.
Red teaming and safety review means trying to make a model produce harmful or wrong output so that its developers can fix the problem.

Who Is Hiring Remote Data Annotators?

The biggest employers for remote data annotation fall into two groups, and the difference matters because it decides how you apply. The first group is contractor platforms, which you join once and then receive projects from. The second group is AI companies that hire annotators and AI trainers as employees or fixed-term contractors through their own career pages.

Contractor platforms

Scale AI is one of the largest data labeling companies and works with major AI companies. Meta bought a 49 percent stake in Scale AI in June 2025 (Axios, June 13, 2025), and Scale remains an independent company.
Outlier is the contributor platform operated by Scale AI. Its application asks for a government ID, a resume and a LinkedIn profile, and it pays weekly.
DataAnnotation recruits generalists, coders and professionals for AI training projects, and it publishes its pay ranges on its homepage.
Surge AI focuses on high-quality linguistic annotation for LLMs.
Appen is a global platform with a wide range of annotation projects.
Mercor recruits experts and generalists to train models for AI labs, and Handshake, the college career network, now connects students and professionals with similar AI training work.
Invisible Technologies offers annotation work alongside operational support roles.

AI companies that hire directly

Anthropic, OpenAI and Google DeepMind hire annotators directly for RLHF (reinforcement learning from human feedback), and so do many smaller AI startups. These roles are often not titled "data annotator" at all, so it helps to also search for titles such as AI trainer, model evaluator, human data specialist, data operations specialist and AI tutor. They usually pay a salary or a fixed contract rate, which makes the income steadier than platform work.

How Much Do Remote Data Annotation Jobs Pay?

Compensation varies widely based on the complexity of the work and the expertise it requires. These are typical hourly ranges by type of work:

Basic annotation, such as image tagging and simple categorization, pays about $15 to $25 an hour.
Text and linguistic annotation, such as NLP tasks and content moderation, pays about $20 to $35 an hour.
Domain expert annotation in fields such as medicine, law and coding pays about $35 to $75 an hour.
RLHF and AI training, such as rating model outputs and red teaming, pays about $30 to $60 an hour.

The platforms themselves now advertise higher ceilings for expert work. These are the current figures, with the date each one was published or checked:

DataAnnotation's homepage lists $25 to $50 an hour for generalists, $40 to $150 or more an hour for coding roles, and $40 to $125 or more an hour for professional roles in fields such as finance, law and medicine (dataannotation.tech, checked September 30, 2026).
Mercor told CBS News that the AI training roles it recruits for pay an average of about $105 an hour; a generalist role reviewing AI search results paid $50 an hour, and one psychiatry listing paid up to $350 an hour (CBS News, updated May 14, 2026).
Outlier's expert recruiting pages advertise up to $150 an hour for machine learning expertise (outlier.ai, checked September 2026), and those top rates apply to specialists rather than to general tasks.

These headline rates are real, but they describe the top of each range. Platform work is contract work, so you are usually paid only for time spent on tasks, you get no benefits, and the amount of available work depends on which client projects are open in your country and language. That is why I think it makes sense to join two or three platforms at once and to keep applying to salaried roles at AI companies, which come with steady hours.

Can You Get a Data Annotation Job With No Experience?

Yes, many generalist annotation projects accept people with no prior annotation experience, but you have to pass the platform's assessment first. The assessments test careful reading, clear writing and the ability to follow long guidelines exactly, so it is worth treating them like a real exam rather than rushing through them. A degree or work experience in a field such as medicine, law, math or software qualifies you for the expert projects, which is where the $40-plus rates are.

Do Remote Data Annotation Jobs Hire Worldwide?

Some remote data annotation jobs hire worldwide, but availability depends on where you live. Each platform accepts contributors from a specific list of countries, and many projects are limited to particular countries or languages, so check the platform's eligibility page before you spend an hour on an assessment. Salaried roles at AI companies are usually tied to the countries where the company can employ people, which the job posting states.

How to Find Remote Data Annotation Jobs

Data annotation roles are posted across multiple channels. Many appear directly on company career pages before reaching job boards. Scoutify monitors 70,000+ company career pages and can alert you within minutes when new annotation positions open, giving you an early-applicant advantage for these competitive roles. You can also browse remote jobs across every category on Scoutify to see which AI companies are hiring remotely right now.

Where Sniper helps, and where it does not

Scoutify is AI job search that applies for you first. Its Sniper feature applies to new jobs that fit your filters on company career sites that use Workday, Greenhouse and SmartRecruiters, and it is rolling out on Ashby and Lever. That makes it useful for annotation, AI trainer and data operations roles that AI companies and other employers post on their own career sites. It does not help with contractor platforms such as Outlier, DataAnnotation or Mercor, because those platforms use their own sign-up flows and skills assessments, which you need to complete yourself.

If you want a salaried annotation role at an AI company, Sniper can apply to new roles minutes after they post, around the clock and including while you sleep. It fills out the real application on the employer's career site with your resume, it never uses your LinkedIn account or applies on linkedin.com, and most employer confirmation emails land in Scoutify Mail. Sniper costs $25 a week for up to 500 applications, Auto Apply costs $15 a week for up to 200, Alerts cost $5 a week, and your first 25 applications are free. If you only plan to join platforms, you do not need Sniper, because the platforms' own sign-up pages are all you need.

Skills That Set You Apart

Attention to detail matters most, because annotation quality directly affects model performance.
Domain expertise in medicine, law or a technical field commands higher pay.
Coding ability is essential for code review and code generation tasks, which are some of the best-paid projects.
Language fluency is valuable, because multilingual annotators are in high demand for projects in languages other than English.

Frequently Asked Questions

Are remote data annotation jobs legit?

Yes, remote data annotation jobs are legitimate, and established platforms such as DataAnnotation, Outlier (operated by Scale AI) and Mercor pay real money for AI training work. Treat any listing that asks you to pay for training, equipment or a starter kit as a scam, because real platforms do not charge you to work.

How much do remote data annotators make?

Basic annotation pays about $15 to $25 an hour, and AI training work that needs coding or professional expertise often pays $40 to more than $100 an hour. In September 2026, DataAnnotation listed $25 to $50 an hour for generalists, and Mercor told CBS News in May 2026 that its roles pay an average of about $105 an hour.

Can I get a data annotation job with no experience?

Yes, many generalist projects accept beginners who pass a skills assessment that tests careful reading, clear writing and the ability to follow guidelines. A degree or work experience in a field such as medicine, law, math or software qualifies you for the higher-paying expert projects.

Which data annotation platforms have the most consistent work?

No platform guarantees steady hours, because the work depends on which client projects are open in your country and language. Joining two or three platforms and also applying to salaried AI trainer or data operations roles at AI companies is the most reliable way to keep consistent work.

Can Scoutify apply to data annotation jobs for me?

Scoutify's Sniper can apply for you to annotation, AI trainer and data operations roles that employers post on career sites using Workday, Greenhouse or SmartRecruiters, and it is rolling out on Ashby and Lever. It cannot sign you up for contractor platforms such as Outlier, DataAnnotation or Mercor, because those platforms use their own sign-up flows and assessments.

Bottom Line

Remote data annotation is a legitimate and growing career path, and for people with domain expertise it is much more than gig work. As AI development accelerates, the demand for human annotators continues to increase. The highest-paying positions go to candidates with domain expertise who apply early. Set up alerts for annotation roles at AI companies to catch new postings before they are flooded with applicants, and join two or three platforms in the meantime so that you are earning while you search.

Related Resources

Browse All Remote Jobs to see remote openings across every category.
Remote ML Engineer Jobs covers the engineering roles that annotation work feeds into.
Does Auto Apply Work? explains what automated applications can and cannot do for you.
The Best Auto-Apply Tools compares Sniper with the other tools on the market.
The Tech Salary Calculator compares salaries by role and city.
The Resume Keyword Checker helps you optimize your resume for applicant tracking systems.

Remote Data Annotation Jobs: Pay, Platforms and How to Get Hired (2026)