Life Sciences AI Trainer

About the role

Apply your life sciences research expertise to improve the accuracy and effectiveness of advanced AI systems. This fully remote contract position based out of New York, NY involves reviewing and evaluating AI‑generated responses to life‑sciences prompts, annotating and ranking model outputs, writing expert‑level answers, flagging errors, proposing and building realistic tasks from your own research, running tasks against AI models, and following detailed written instructions to maintain consistent quality throughout a 12‑week sprint.

Responsibilities

• Review and evaluate AI‑generated responses to life‑sciences prompts for scientific accuracy, clarity, and appropriateness.
• Annotate and rank model outputs to guide AI training and improvement.
• Write clear, expert‑level answers to scientific questions that serve as model training examples.
• Flag errors, misconceptions, or ambiguous outputs and provide corrective guidance.
• Propose, design, and build realistic tasks drawn from your own research including the scenario and prompt, realistic supporting input files, and a detailed rubric for grading AI performance.
• Run your tasks against AI models and iterate based on expert reviewer feedback.
• Follow detailed written instructions precisely, including document and upload format requirements.
• Maintain consistent quality and throughput throughout the sprint engagement.

Qualifications

• Strong written communication skills; ability to explain complex concepts clearly and concisely.
• Comfortable working independently in a remote, self‑directed environment.
• Can ramp quickly on unfamiliar work when provided written material or instructions.
• Hands‑on practitioner: you currently do (or recently did) this work at a detailed, individual‑contributor level not solely in a managerial capacity.
• Careful reader of written instructions; receptive to feedback and revision cycles.
• Can orient in a company data package of 100 MB to 30 GB+ and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization.
• Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing).
• A general understanding of LLM use and the AI landscape; you’ve used LLMs (like ChatGPT or Claude) in life sciences professional work and can judge a well‑reasoned answer from a plausible‑sounding but incorrect one.

Skills

• Biology
• Oncology
• Drug discovery
• Computational biology
• Experimental biology
• Artificial intelligence
• Data entry

Benefits

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan
• Pre‑tax and Roth post‑tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long‑term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Pay

The pay range for this position is $75.00 – $75.00 per hour. Individual compensation offered within this range will depend on qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job‑related factors.

Schedule

Available to commit 30‑40+ hours per week for the full 12‑week engagement. This is a fully remote role.