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.
Pierre
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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.
A selective community of experts
Work alongside writers, lawyers, health professionals, coders, professors, and bilingual experts shaping the future of AI.
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The problems here actually require engineering judgment. It's some of the most rigorous work I've done outside of a staff role.
Marcus
Software Engineer
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The variety is what I didn't expect. One week I'm rewriting technical explanations, the next I'm evaluating how a model handles tone and voice.
Julia
Senior Copywriter
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Clinical nuance matters in this work. It's rare to find contract work where my specialty actually gets used properly.
Melissa
Clinical Reviewer
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The evaluation work here is more rigorous than most PM research I've run in-house. I've genuinely changed how I think about product quality.
Azhar
Senior Product Manager
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Legal reasoning in AI is still an unsolved problem. Getting to shape how these models handle it, from a practitioner's perspective, is the work I actually want to be doing.
Krysta
Solicitor
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The code review standards here are higher than most teams I've worked on. It's sharpened how I think about edge cases in my day job.
Tyler
Senior Engineer
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Pressure-testing these tools surfaces failure modes that matter. The work holds up to the standards I'd apply in practice.
Abi
Litigation Attorney
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Most freelance work in my field is content mills. This is the first engagement where my clinical training is the reason I was hired, not an afterthought.
Liana
Clinical Researcher
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My writing background is exactly what this work needs. Evaluating how models handle narrative, voice, and subtext is surprisingly rigorous.
Mi Ji
Screenwriter
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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.
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.