Alignerr
Chemistry Masters
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Chemistry Masters
Chemistry Masters – AI Data Trainer
About The Role
We're looking for Chemistry master's graduates and current students to help train the next generation of AI. At Alignerr, we partner with the world's leading AI research labs to build smarter, more accurate models — and we need domain experts like you to make it happen.
Your chemistry knowledge will directly shape how AI understands and reasons through complex scientific problems. This is a fully remote, flexible contract role that fits around your schedule.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You’ll Do
- Design advanced chemistry problems across areas such as:
- Chemical engineering
- Biochemistry
- Organic chemistry
- Thermodynamics to rigorously test AI performance
- Develop clear, step-by-step solutions that demonstrate rigorous scientific logic
- Evaluate AI-generated outputs for accuracy, depth of reasoning, and scientific validity
- Collaborate with researchers to refine and improve benchmark sets spanning undergraduate to master's-level chemistry
- Provide structured written feedback to help improve AI model quality over time
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Who You Are
- Currently pursuing or have completed a Master’s degree in:
- Chemistry
- Chemical Engineering
- Biochemistry
- Or a closely related field
- Have strong analytical and problem-solving skills across advanced chemistry domains
- Able to communicate complex scientific concepts clearly in writing
- Detail-oriented with a commitment to accuracy and scientific rigor
- Self-motivated and comfortable working independently and asynchronously
- No prior AI experience required
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Nice to Have
- Experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with large language models or AI research workflows
- Background spanning multiple chemistry sub-disciplines
Why Join Us
- Work directly with industry-leading AI labs on cutting-edge research
- Fully remote — work from anywhere, on your own schedule
- Freelance perks: high autonomy, flexibility, and global collaboration
- Contribute to meaningful work that advances how AI understands science
- Potential for ongoing contract renewals and expanded project involvement
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