Description
• 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.
Additional Skills & Qualifications
Master's or PhD (or current PhD candidate) in Biology or a directly related field, with 3+ years of hands-on experience in drug discovery, computational biology/bioinformatics, or experimental biology.
• 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 100MB to 30GB+ 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).
• Available to commit 30-40+ hours per week for the full 12-week engagement.
• A general understanding of LLM use and the AI landscape. You've used LLMs (like ChatGPT or Claude) in life sciences professional work, and have judgment to tell a well-reasoned answer from a plausible-sounding but incorrect one.
Job Type & Location
This is a Contract to Hire position based out of Raleigh, NC.
Pay and Benefits
The pay range for this position is $75.00 - $75.00/hr.
Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• 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)
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Sep 30, 2026.
