Train AI, Contribute to the Future of Chemistry Research
The models shaping the future of AI are only as rigorous as the chemists behind them. Apply your expertise where it matters, and get paid to do it.
As seen on
This is not busywork.
The largest language models in the world still confuse reaction mechanisms with memorized templates. You're the feedback loop that fixes this — one mechanism at a time.
Three steps.
No overhead.
Apply & Qualify
Complete a short chemistry assessment. We evaluate your ability to reason through reaction mechanisms, identify flawed retrosynthetic analyses, and apply chemical intuition. No resume required — your work speaks.
Get Matched
Based on your background and assessment results, you're matched to projects in your areas of strength. Organic synthesis, computational chemistry, biochemistry, materials science — 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
Craft chemistry prompts designed to probe model reasoning, or review and improve prompts already on the platform. Not trivia, but problems that expose conceptual misunderstandings about bonding, reactivity, and thermodynamics.
Review AI output
Evaluate AI-generated responses to chemistry problems. Identify errors in reasoning, incomplete arguments, and conceptual gaps across a range of difficulty levels and subfields.
Write the correct solution
When a problem requires it, write a complete solution that demonstrates correct chemical reasoning. This helps the model learn what rigorous thinking actually looks like.
Where models need you most.
These are the areas where current AI systems consistently struggle. Your expertise addresses the hardest open problems in chemical reasoning, and your assessment determines where you start, not where you're limited. Contributors regularly work across multiple subfields and difficulty levels.
Organic Synthesis & Retrosynthesis
Evaluate retrosynthetic analyses, multi-step synthesis proposals, and stereochemical outcomes. Check for regioselectivity errors, protecting group logic, and feasibility of proposed transformations.
Physical & Computational Chemistry
Review quantum chemical calculations, thermodynamic derivations, and kinetic analyses. Verify orbital symmetry arguments, transition state geometries, and free energy calculations.
Inorganic & Coordination Chemistry
Assess crystal field theory applications, coordination complex analyses, and organometallic reaction mechanisms. Verify electron counting, symmetry labels, and spectroscopic predictions.
Biochemistry & Chemical Biology
Verify enzyme mechanism proposals, metabolic pathway analyses, and structure-activity relationships. Check for correct protonation states, hydrogen bonding patterns, and catalytic residue identification.
Analytical & Materials Chemistry
Evaluate reasoning about electrochemical systems, polymer behavior, and environmental chemistry applications. Check for errors in reaction feasibility, degradation mechanisms, and quantitative reasoning.
Paid to contributors
Expert annotators
Annotations completed
Built for people who think in molecules.
Graduate Students
PhD and Master’s candidates in organic, inorganic, physical, or analytical chemistry.
Chemistry Olympiad Competitors
National or international competition experience in chemistry problem solving, including IChO or USNCO level work.
Research Chemists
Active or former researchers applying deep domain knowledge to AI training.
Applied Chemistry Professionals
Engineers with rigorous chemistry foundations working in materials, pharma, or energy.
Around the web
People love the work.
A few threads from contributors who’ve been at it for a while.
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r/DataAnnotationTech
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!
r/DataAnnotationTech
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.
r/DataAnnotationTech
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)
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Indeed
Data Annotator
Productive, Flexible, and Good Pay
“The pay is very competitive and more than enough for the work I produce.”
Indeed
AI Trainer
Schedule Flexibility and Good Pay
“I feel well compensated for my time.”
Indeed
AI Trainer
Fun and flexible
“I enjoy this work, it's fun and challenging.”
Accuracy is paramount.
r/DataAnnotationTech
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.
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Glassdoor
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.
Trustpilot
Victor Bizuett
Legit company
“Legit company, tasks are complex enough and most of the time they are quite fun to accomplish”
r/DataAnnotationTech
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.
r/DataAnnotationTech
u/textartguy
Belated Milestone Post
Been working since March 2024. I honestly feel so lucky to have both found this job and to have been able to keep it for so long.
I thought I might make a few grand max at the start.
Glassdoor
Remote AI Trainer
AI Trainer at Data Annotation
“Flexible working time and location”
r/DataAnnotationTech
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.
r/DataAnnotationTech
u/Dangerous_Darling
Learning through fact-checking
Same. Love fact-checking. And I learn so much!
r/DataAnnotationTech
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.
r/DataAnnotationTech
u/paranormalisnormal
$40k — I Love You Data Annotation <3
Data Annotation has saved my ass financially and allowed me to help out my loved ones.
Couldn't ask for a better job.
Glassdoor
AI Content Writer
Good for Part Time Gig
“Pay is good, fully flexible hours with no required minimum.”
Glassdoor
Ai data annotator
Great little source of income
“Lots of interesting projects to work on with a variety of subjects and specialised interests.”
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.