Negotiable
Undetermined
Remote
Glasgow, Scotland, United Kingdom
Summary: The Biochemist – AI Data Trainer role involves leveraging biochemistry expertise to enhance AI models in collaboration with leading research teams. The position requires PhD-level knowledge to design complex biochemical challenges, audit AI outputs, and refine AI reasoning. This is a fully remote, flexible contract role allowing for a commitment of 10–40 hours per week. The role emphasizes scientific accuracy and effective communication of complex concepts.
Key Responsibilities:
- Design Complex Problems — Create advanced biochemistry challenges across domains like nucleic acid chemistry, proteomics, and drug-target interactions to rigorously test AI performance.
- Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as the gold standard benchmarks for AI scientific reasoning.
- Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and quantitative analyses for scientific accuracy, safety, and methodological soundness.
- Refine AI Reasoning — Identify flaws in AI logic and provide structured feedback to improve model performance.
Key Skills:
- Advanced Degree: PhD (completed or in progress) in Biochemistry, Molecular Biology, or a closely related field.
- Deep Domain Knowledge: Strong expertise in at least one core area — structural biology, enzymology, cellular metabolism, bioinformatics, or related disciplines.
- Clear Scientific Communicator: Able to explain highly technical biological and chemical concepts in writing with precision and clarity.
- Detail-Oriented: High accuracy when reviewing complex chemical equations, molecular diagrams, reaction mechanisms, and experimental protocols.
- No AI experience required — your scientific expertise is what matters.
- Experience with data annotation, quality evaluation, or academic peer review is a plus.
- Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST is advantageous.
- Background in scientific writing, grant writing, or technical editing is beneficial.
Salary (Rate): £35.00 hourly
City: Glasgow
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Biochemist – AI Data Trainer
About The Role
Your years of biochemistry expertise are more valuable than you think — even outside the lab. We're partnering with the world's leading AI research teams to build smarter, more scientifically accurate AI models, and we need PhD-level biochemists to make it happen. As a Biochemist AI Data Trainer, you'll challenge, audit, and refine advanced AI systems on topics like protein folding, metabolic flux analysis, enzyme kinetics, and molecular genetics. Your deep domain knowledge becomes the standard that AI must meet. This is a fully remote, flexible contract role — work on your own schedule, from anywhere.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Complex Problems — Create advanced biochemistry challenges across domains like nucleic acid chemistry, proteomics, and drug-target interactions to rigorously test AI performance.
- Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as the gold standard benchmarks for AI scientific reasoning.
- Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and quantitative analyses for scientific accuracy, safety, and methodological soundness.
- Refine AI Reasoning — Identify flaws in AI logic — such as incorrect stoichiometry, misunderstood stereochemistry, or faulty enzyme kinetics — and provide structured feedback to improve model performance.
Who You Are
- Advanced Degree: PhD (completed or in progress) in Biochemistry, Molecular Biology, or a closely related field.
- Deep Domain Knowledge: Strong expertise in at least one core area — structural biology, enzymology, cellular metabolism, bioinformatics, or related disciplines.
- Clear Scientific Communicator: Able to explain highly technical biological and chemical concepts in writing with precision and clarity.
- Detail-Oriented: High accuracy when reviewing complex chemical equations, molecular diagrams, reaction mechanisms, and experimental protocols.
- No AI experience required — your scientific expertise is what matters.
Nice to Have
- Experience with data annotation, quality evaluation, or academic peer review
- Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST
- Background in scientific writing, grant writing, or technical editing
Why Join Us
- Work on cutting-edge AI projects alongside top research labs and AI teams
- Fully remote and asynchronous — work on your own schedule, wherever you are
- Freelance perks: autonomy, variety, and global collaboration
- Make a direct impact on how AI understands and communicates science
- Potential for ongoing work and contract extension