[Hiring] Biology PhD - Scientific Coder - AI Trainer @Mercor

Role Description

• Source material from published papers, Kaggle datasets, or open-source repositories to create research problems.
• Write scientific prompts and develop grading criteria for correct answers.
• Calibrate tasks against frontier models, ensuring strong models fail more often than they succeed.
• Utilize Python, R, or other programming languages for scientific computing.
• Work with Git/GitHub and Docker for code execution and quality checks.
• Collaborate asynchronously and independently to meet deadlines and improve AI model performance.

Qualifications

• PhD in biology, biological sciences, biochemistry, genetics, ecology, or a closely related field.
• Depth in at least two subdomains: ecology, biochemistry, genetics.
• Proficiency in Python, R, or another relevant programming language.
• Comfortable with Git/GitHub and Docker.
• Publications in peer-reviewed journals (preferred).
• Prior scientific software or research engineering experience (preferred).

Requirements

• Contract position.
• Compensation: $70/hour.
• Location: Remote.
• Duration: 6 weeks.
• Commitment: 20+ hours/week.

Company Description

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Application Process

• Upload your resume and application form.
• A 25-minute conversational interview covering your background, experience, and motivations.
• Follow up within a few days with next steps and onboarding.

Resources & Support

• For details about the interview process and platform information, please check: Interview Process Details .
• For any help or support, reach out to: [email protected] .