Train AI, Shape the Future of Biology Research
The models shaping the future of AI are only as rigorous as the biologists behind them. Apply your expertise where it matters, and get paid to do it.
As seen on
This is not busywork.
The most advanced language models still hallucinate enzyme mechanisms, confuse taxa, and invent gene functions. You're the biological filter that catches what machines can't — one annotation at a time.
Three steps.
No overhead.
Apply & Qualify
Complete a short biology assessment. We evaluate your ability to interpret experimental data, identify flawed biological reasoning, and apply mechanistic thinking. No resume required — your knowledge speaks.
Get Matched
Based on your background and assessment results, you're matched to projects in your areas of strength. Molecular biology, genomics, ecology, neuroscience, biochemistry; you choose what fits.
Work & Get Paid
Complete tasks on your own schedule. Each task has clear specifications and a defined scope. Payment is per-task, processed weekly, starting at $40/hour.
What you'll actually do.
Write a prompt
Ask questions that test the model's understanding across biological disciplines.

Review AI output
Evaluate model-generated answers line by line. Identify misattributed gene functions, confused signaling pathways, and incorrect interpretations of experimental data.

Evaluate the model's response for scientific accuracy.
Write the correct solution
Author a complete, rigorous response that demonstrates the correct biological reasoning. This becomes training signal for the next model generation.

Provide an answer that reflects the standard of peer-reviewed literature.
Where models need you most.
These are the areas where current AI systems consistently struggle. Your expertise directly addresses the hardest open problems in biological reasoning.
Proof-Based Reasoning
Evaluate and construct formal biological arguments. Identify logical gaps, invalid inferences, and incomplete mechanistic reasoning in model-generated explanations.
Multi-Step Problem Solving
Review complex biological processes requiring sequential reasoning. Check that each step follows validly from the last and that no intermediate mechanisms are skipped.
Symbolic Logic & Formalization
Assess the model's ability to translate natural language into formal biological frameworks and reason within established scientific systems.
Edge Cases & Counterexamples
Identify where models fail on edge cases, degenerate biological scenarios, and subtle counterexamples that break general claims.
Quantitative Modeling
Evaluate applied biology problems involving experimental design, statistical reasoning, and biological modeling of real-world systems.
Paid to contributors
Expert annotators
Annotations completed
Built for people who think in theories.
Graduate Students
PhD and Master's candidates in molecular biology, cell biology, or related life sciences.
Olympiad Competitors
National or international competition experience in biological problem solving.
Research Biologists
Active or former researchers applying deep expertise to AI reasoning.
Applied Biology Professionals
Clinicians, biotech professionals, and data scientists with rigorous biological foundations.
Around the web
People love the work.
A few threads from contributors who’ve been at it for a while.
u/NameGivenMe
Critical thinking and explication
I love Dataannotation! They are paying me to do both; to trainthese faculties and enjoy the process.
I'm getting paid more to make them shaper than ever andinform the course of possibly the most consequentialdevelopment in history: Artificial Intelligence!
u/Explorer182
Rubric work
Hate to say this, but rubrics are my favorite.
I know. When im doing them they make my brain go crazy, yet i miss them when not around.
u/C_Gull27
Working in math
The one where I get to work in the subject I enjoy and applied to the site for (math)
Data Annotator
Productive, Flexible, and Good Pay
“The pay is very competitive and more than enough for the work I produce.”
u/OhLemons
Fact-checking and research
I really enjoy fact-checking.
Researching different topics is really fun, and it's easy to spend a full day working on these projects because the topics can vary so much.
Ai data annotator
Glassdoor
“The project assignments can be really interesting are often fun, and can usually be done any time of day or night.”
My experience has been nothing but positive so far.
Victor Bizuett
Legit company
“Legit company, tasks are complex enough and most of the time they are quite fun to accomplish”
u/Traditional_Big2860
I love DA!
Last week I decided to take the coding assessment and got accepted within a day, now after 5 days of work I've surpassed 1k!
I still can't believe this. I'm really grateful.
u/LegendNumberM
Making models fail
I like the projects where I make prompts to make models fail.
I love seeing the subtle to downright hazardous ways these models fail to do as expected.
u/Dangerous_Darling
Learning through fact-checking
Same. Love fact-checking. And I learn so much!
u/Dangerous_Darling
100k club
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Woooooooooooo hit the 100k club last week, but I waited to post until my paid out also hit 100k!
Thanks DAT, I've been able to live an awesome life because of this job.
Frequently Asked Questions
Have questions? Here we answer the most common questions.
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.
Projects vary but commonly include reviewing AI-generated text, ranking responses, checking facts, labeling data, and reviewing content in specific subject areas. All focused on improving real production AI systems.
This is ideal for people with strong reasoning skills, attention to detail, and subject-matter expertise who want flexible, remote work with real impact. Researchers, students, professionals, and independent contributors who enjoy analytical work and want to contribute to advancing AI systems.
This is a flexible, task-based contractor role. You work remotely on your own schedule, focused on output quality rather than hours logged. There is no long-term commitment required, and you can work as much or as little as you choose.
Get ahead in a changing workforce.
No recruiters. No interviews. Just meaningful work and real compensation.
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