Electrical Engineering — AI Data Trainer About the Role We partner with the world's leading AI research labs to build smarter, more technically capable AI models — and we need electrical engineers to make it happen.
Chemistry Masters
Job description
Chemistry Masters – AI Data Trainer
About the Role
We're looking for chemistry experts to help train and evaluate some of the world's most advanced AI models. If you hold a Master's degree (or are currently pursuing one) in Chemistry, Chemical Engineering, Biochemistry, or a related field, this is your opportunity to apply deep scientific knowledge to a frontier technology — on your own schedule, from anywhere in the world.
No AI experience required. Your chemistry expertise is what matters.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design rigorous, advanced chemistry problems that challenge AI systems across domains like chemical engineering, biochemistry, organic chemistry, and more
- Develop clear, step-by-step solutions with sound scientific reasoning
- Evaluate AI-generated responses for accuracy, depth, and quality of reasoning
- Collaborate with researchers to refine benchmarks spanning undergraduate through Master's-level chemistry topics
- Provide structured, high-quality feedback that directly improves AI performance
Who You Are
- Currently pursuing or have completed a Master's degree in Chemistry, Chemical Engineering, Biochemistry, or a related field
- Strong problem-solving skills across advanced chemistry domains
- Able to communicate complex scientific concepts clearly in writing
- Detail-oriented and comfortable providing structured, critical feedback
- Self-motivated and able to work independently and asynchronously
- No prior AI experience required
Nice to Have
- Experience with data annotation, data quality review, or evaluation systems
- Background in research or academic writing
- Familiarity with AI or machine learning workflows
Why Join Us
- Work directly with industry-leading large language models (LLMs) on meaningful scientific problems
- Fully remote and flexible — work when and where it suits you
- Freelance perks: high autonomy, variety, and the ability to work globally
- Contribute to AI research that benefits the broader scientific community
- Potential for ongoing work and contract renewals
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