Summary: The role of Biology Masters – AI Data Trainer involves collaborating with research teams to train and evaluate AI models using advanced biology knowledge. Candidates will design complex biology problems, develop solutions, and assess AI outputs for accuracy and understanding. This is a fully remote, flexible contract position that does not require prior AI experience. The focus is on leveraging scientific expertise to enhance AI's comprehension of biological concepts.
Key Responsibilities:
- Design challenging, graduate-level biology problems to rigorously test AI performance
- Develop clear, step-by-step solutions with precise scientific reasoning
- Evaluate AI-generated outputs for factual accuracy, logical soundness, and depth of understanding
- Collaborate with research teams to refine evaluation benchmarks across undergraduate to Masters-level biology topics
- Help identify gaps in AI reasoning across domains like biochemistry, genetics, physiology, and biotechnology
Key Skills:
- Currently pursuing or have completed a Masters degree in Biology, Biochemistry, Biotechnology, or a related field
- Strong analytical and problem-solving skills across advanced biology domains
- Able to communicate complex scientific concepts clearly and concisely in writing
- Detail-oriented with the ability to provide structured, constructive feedback
- Self-motivated and comfortable working independently and asynchronously
- No prior AI experience required
- Experience with data annotation, scientific writing, or evaluation systems (nice to have)
- Familiarity with topics spanning multiple biology subfields (e.g., molecular biology, ecology, neuroscience) (nice to have)
- Background in research, lab work, or academic publishing (nice to have)
Salary (Rate): £27.00 hourly
City: Cambridge
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Biology Masters – AI Data Trainer
About The Role
We're looking for Masters-level biology professionals to help train and evaluate cutting-edge AI models. Your scientific expertise will directly shape how AI understands and reasons through complex biological concepts — from cell biology to molecular genetics and beyond. This is a fully remote, flexible contract role where your advanced biology knowledge becomes the foundation for smarter, more accurate AI systems. No AI background required — your science is what matters.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design challenging, graduate-level biology problems to rigorously test AI performance
- Develop clear, step-by-step solutions with precise scientific reasoning
- Evaluate AI-generated outputs for factual accuracy, logical soundness, and depth of understanding
- Collaborate with research teams to refine evaluation benchmarks across undergraduate to Masters-level biology topics
- Help identify gaps in AI reasoning across domains like biochemistry, genetics, physiology, and biotechnology
Who You Are
- Currently pursuing or have completed a Masters degree in Biology, Biochemistry, Biotechnology, or a related field
- Strong analytical and problem-solving skills across advanced biology domains
- Able to communicate complex scientific concepts clearly and concisely in writing
- Detail-oriented with the ability to provide structured, constructive feedback
- Self-motivated and comfortable working independently and asynchronously
- No prior AI experience required
Nice to Have
- Experience with data annotation, scientific writing, or evaluation systems
- Familiarity with topics spanning multiple biology subfields (e.g., molecular biology, ecology, neuroscience)
- Background in research, lab work, or academic publishing
Why Join Us
- Work on cutting-edge AI projects alongside world-leading research labs
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: high autonomy, variety of tasks, and global collaboration
- Contribute to meaningful work that advances how AI understands science
- Potential for ongoing contracts and project renewals