Biochemist - AI Data Trainer

• Location: Remote
  

About The Job

Organization

Position

Type

Compensation

Location

Commitment

What You'll Do

• Develop Complex Problems: Design advanced biochemistry problems across domains like nucleic acid chemistry, proteomics, and drug-target interactions to test AI performance.
• Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions and golden responses that the AI will use as a benchmark for high-level scientific reasoning.
• Technical Auditing: Evaluate AI-generated biochemical pathways, molecular structures, and mathematical proofs for technical accuracy, safety, and adherence to scientific standards.
• Refine Reasoning: Identify logical fallacies in AI reasoningsuch as incorrect stoichiometry or misunderstood stereochemistryand provide structured feedback to help the model improve its thinking process for life science tasks.
  

Requirements

• Advanced Degree: PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related field.
• Domain Expertise: Strong foundational knowledge in core areas such as structural biology, enzymology, cellular metabolism, or bioinformatics.
• Analytical Writing: The ability to communicate highly technical biological and chemical concepts clearly and concisely in written form.
• Attention to Detail: High level of precision when checking complex chemical equations, molecular diagrams, and experimental protocols.
• No AI experience required
  

Preferred

• Prior experience with data annotation, data quality, or evaluation systems
• Experience with computational biochemistry tools (e.g., PyMOL, AlphaFold, or BLAST).
  

Why Join Us

• Competitive pay and flexible remote work.
• Collaborate with a team working on cutting-edge AI projects.
• Exposure to advanced LLMs and how they're trained.
• Freelance perks: autonomy, flexibility, and global collaboration.
• Potential for contract extension.
  

Application Process (Takes 15-20 min)

• Submit your resume
• Complete a short screening
• Project matching and onboarding