Chemistry Masters – AI Data Trainer
We're looking for chemistry experts to help train and improve the next generation of AI models. Your advanced scientific knowledge will directly shape how AI understands and solves complex chemistry problems — from undergraduate fundamentals to graduate-level concepts.
This is a fully remote, flexible contract role working alongside world‑leading AI research teams. No prior AI experience required — just strong chemistry knowledge and clear analytical thinking.
Contract Details
* Organization: Alignerr
* Type: Hourly Contract
* Location: Remote
* Commitment: 10–40 hours/week
What You'll Do
* Design advanced chemistry problems to rigorously test AI performance across domains such as chemical engineering, biochemistry, organic chemistry, and more
* Develop clear, step‑by‑step solutions with precise, logical reasoning
* Evaluate AI‑generated outputs for scientific accuracy, depth, and quality of reasoning
* Collaborate with researchers to refine benchmarks spanning undergraduate through Masters‑level chemistry topics
* Provide structured written feedback to help continuously improve AI model performance
Who You Are
* Currently pursuing or have completed a Master's degree in Chemistry, Chemical Engineering, Biochemistry, or a closely related field
* Strong analytical and problem‑solving skills across advanced chemistry domains
* Able to communicate complex scientific ideas clearly and concisely in writing
* Detail‑oriented with a commitment to accuracy and rigorous reasoning
* Self‑motivated and comfortable working independently and asynchronously
* No prior AI experience required
Nice to Have
* Experience with data annotation, data quality assurance, or evaluation systems
* Familiarity with large language models or AI research workflows
* Background spanning multiple chemistry subfields
Why Join Us
* Work on cutting‑edge AI projects with top‑tier research labs and AI organizations
* Fully remote and flexible — work on your own schedule, from anywhere
* Freelance perks: high autonomy, variety, and global collaboration
* Directly contribute to meaningful work that advances the frontier of scientific AI
* Potential for ongoing work and contract renewal
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