Negotiable
Undetermined
Remote
Birmingham, England, United Kingdom
Summary: The role of Chemistry Masters – AI Data Trainer involves leveraging expertise in chemistry to evaluate and enhance AI systems focused on advanced scientific content. Candidates will design complex chemistry problems, develop solutions, and provide feedback to improve AI performance. This fully remote position is suitable for individuals pursuing or holding a Master's degree in Chemistry or a related field. The role offers flexibility in hours and the opportunity to contribute to significant advancements in scientific AI.
Key Responsibilities:
- 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
Key Skills:
- 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 concepts clearly and concisely in writing
- Detail-oriented with a systematic approach to evaluating quality and correctness
- Self-motivated and comfortable working independently and asynchronously
- No prior AI experience required
- Experience with data annotation, data quality review, or evaluation systems (nice to have)
- Familiarity with large language models or AI research workflows (nice to have)
- Background spanning multiple chemistry subdisciplines (nice to have)
Salary (Rate): £27.00 hourly
City: Birmingham
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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.
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 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
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 concepts clearly and concisely in writing
- Detail-oriented with a systematic approach to evaluating quality and correctness
- 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 systems
- Familiarity with large language models or AI research workflows
- Background spanning multiple chemistry subdisciplines
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