Chemistry Masters — AI Data Trainer
We're looking for chemistry experts to help train and improve the next generation of AI models. At Alignerr, we partner with the world's leading AI research labs — and we need people with deep chemistry knowledge to make these models smarter, more accurate, and genuinely useful in scientific domains.
Your expertise in chemistry will directly shape how AI reasons through complex problems — from reaction mechanisms to biochemical pathways. No AI background needed. Just strong chemistry fundamentals and a sharp analytical mind.
* Organization: Alignerr
* Type: Hourly Contract
* Location: Remote
* Commitment: 10–40 hours/week
What You'll Do
* Design challenging, advanced chemistry problems to rigorously test AI performance across domains including chemical engineering, biochemistry, and physical chemistry
* Develop clear, step-by-step solutions with rigorous logic and well-structured reasoning
* Evaluate AI-generated outputs for scientific accuracy, depth, and quality of reasoning
* Collaborate with researchers to refine evaluation benchmarks spanning undergraduate to Master's-level chemistry
* Provide structured, actionable feedback that directly improves AI model performance
Who You Are
* Pursuing or holding a Master's degree in Chemistry, Chemical Engineering, Biochemistry, or a closely related field
* Strong problem-solving skills across advanced chemistry domains
* Able to communicate complex scientific concepts clearly and precisely in writing
* Detail-oriented with a systematic, analytical approach
* Self‑motivated and comfortable working independently and asynchronously
* No prior AI experience required
Nice to Have
* Experience with data annotation, data quality review, or evaluation workflows
* Familiarity with how large language models work
* Background spanning multiple chemistry subfields
Why Join Us
* Work on cutting‑edge AI projects with top‑tier research labs
* Fully remote and flexible — work on your own schedule
* Freelance perks: autonomy, variety, and global collaboration
* Direct engagement with industry‑leading large language models
* Potential for ongoing work and contract renewal
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