Biochemist

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models.

Organization: Alignerr | Position: Biochemist – AI Data Trainer | Type: Hourly Contract | Compensation: $35–$70 /hour | Location: Remote | Commitment: 10–40 hours/week

We are seeking PhD-level Biochemists to challenge and refine advanced language models on topics like protein folding, metabolic flux analysis, molecular genetics, and enzyme kinetics. In this remote contract role, you will document failure modes in AI reasoning to help harden model accuracy for scientific research. Work on high‑impact projects while earning $35+/hour, fully remote, with flexible weekly hours. No prior AI experience is required.

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• Develop complex biochemistry problems across domains such as 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 reasoning—such as incorrect stoichiometry or misunderstood stereochemistry—and provide structured feedback to help the model improve its thinking process for life science tasks.
  

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• 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: 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.
  

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

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• 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.
  

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

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.