Alignerr
Chemistry Masters
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Chemistry Masters
Chemistry Masters – AI Data Trainer
About the Role
We're looking for chemistry experts to help evaluate and improve AI systems being trained on advanced scientific content. Your subject-matter expertise will directly shape how AI understands and reasons through complex chemistry problems — making a real impact on the future of scientific AI.
This is a fully remote, flexible contract role open to anyone currently pursuing or holding a Master's degree in Chemistry or a related field.
Organisation: 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 topics like chemical engineering, biochemistry, and physical chemistry
- Develop clear, step-by-step solutions with precise, well-structured reasoning
- Evaluate AI-generated outputs for scientific accuracy and quality of reasoning
- Collaborate with researchers to refine benchmarks spanning undergraduate through Master's-level chemistry
- Provide structured, actionable feedback that directly improves AI model performance
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Who You Are
Core Requirements
- 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
- Ability to communicate complex scientific concepts clearly and concisely in writing
- Highly detail-oriented, with a systematic approach to evaluating quality and correctness
- Self-motivated, comfortable working independently and asynchronously
- No prior AI experience required
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Nice to Have
- Experience with data annotation, data quality review, or evaluation systems
- Familiarity with large language models or AI research workflows
- Background spanning multiple chemistry sub-disciplines
Why Join Us
- Work on cutting-edge AI projects with world-leading research labs
- Fully remote and flexible – work on your own schedule, from anywhere
- Freelance perks: high autonomy, variety, and global collaboration
- Contribute to meaningful work that advances AI's understanding of science
- Potential for ongoing work and contract renewals
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