We connect human brilliance with artificial intelligence

We empower thousands of experts to make AI smarter, safer, and more reliable.

As seen on

Our impact across the globe

$1M+

Paid to contributors

55+

Countries represented

100K+

Expert annotators worldwide

13B+

Annotations completed

Why we built DataAnnotation

AI models are only as good as the data they learn from.  We started DataAnnotation because we saw a gap between what AI needed — nuanced, expert-level human judgment — and what the annotation industry was providing.

Our mission is simple: connect the world's most capable minds with meaningful AI work. We don't believe in assembly-line labeling. We believe in thoughtful, domain-expert review that teaches models to reason, not just classify.

Every annotation on our platform is a human decision — made by someone who understands the subject deeply enough to explain not just the "what," but the "why."

Trusted by industry leaders

Powering the next generation of AI

Expert annotations powering the world’s most advanced AI systems.

13B+
Annotations to date
87M+
Gen AI data labeled

Press Releases

Feb 2026

College student training Al says the meeting-free work can pay up to $30 an hour and is 'perfect for an introvert'

November 2025

Now Hiring: Sophisticated (but Part-Time) Chatbot Tutors

September 2025

This 25-Year-Old Is Going Viral For Sharing Exactly How She Earns An Extra $100 Every Day After Work

April 2025

Side Hustle or Scam? What to Know About Data Annotation Work

What we stand for

People first

Every decision starts with the people who do the work. We design for contributor wellbeing, not just throughput. Fair pay, clear guidelines, and genuine respect.

Quality matters

We don't cut corners. Every annotation is reviewed, every edge case is documented, and every contributor is empowered to flag problems without friction.

Serious about safety

AI safety isn't a marketing line — it's embedded in our annotation standards. We train contributors to identify and surface harmful outputs, not just ignore them.

Our commitment to you

Not everyone gets in—that’s the point. We pay a premium for contributors committed to high-quality AI work.

Fast, reliable payments

Get paid after every project. No invoicing, no chasing payments. Withdraw anytime.

Truly global access

Available in 50+ countries with local support, fair pay, and global infrastructure.

Continuous learning

Get feedback, updated guidelines, and learn with a community of experts.

Join our network of 100,000+ experts

Start in 3 simple steps

Not everyone gets in—that’s the point. We pay a premium for contributors committed to high-quality work.

1

Apply

You will be asked to complete an assessment aligned with your area of expertise.

2

Start working

Access projects aligned with your skills and knowledge.

3

Get paid

Payment is issued after each completed project and can be withdrawn directly from your account.

"Expert decisions actually matter here. Guidelines are precise, feedback is thoughtful, and quality expectations are consistently enforced."

Salime

Reseach Scientist

"The projects here push real intellectual boundaries. I'm applying my ML research to problems with immediate impact, and the feedback loop between my work and model improvement is incredibly motivating."

Marcus

PhD Candidate, Machine Learning

Frequently Asked Questions

Have questions? Here we answer the most common questions.

How flexible is the work?

You’ll work on tasks that help AI perform better—like reviewing responses, checking accuracy, refining prompts, and rating outputs. No coding or technical background needed.

What kind of projects do you have?

You’ll work on projects that improve AI systems, such as reviewing responses, checking accuracy, refining prompts, ranking outputs, and validating model behavior.

What kind of data collection projects do you have?

Projects include data labeling, annotation, evaluation, and quality review across text, images, and structured tasks—focused on improving real production AI systems.

Who is this opportunity for?

This is ideal for people with strong reasoning skills, attention to detail, and subject-matter expertise who want flexible, remote work with real impact.

What kind of position is this?

This is a flexible, task-based contractor role. There is no long-term commitment required, and you can work as much or as little as you choose.

What types of data annotation projects are currently available?

Available projects vary but commonly include prompt evaluation, response ranking, factual accuracy checks, domain-specific review, and structured annotation tasks.

Who can benefit from this opportunity?

Researchers, students, professionals, and independent contributors who enjoy analytical work and want to contribute to advancing AI systems.

What is the nature of this position?

This is remote, asynchronous work focused on output quality rather than hours logged. Performance is evaluated based on contribution quality and consistency.

Get ahead in a changing workforce.

No recruiters. No interviews. Just meaningful work and real compensation.