Biologist for AI Model Training

Biology experts apply their subject-matter knowledge to design domain-specific prompts, evaluate large language model outputs, and help improve AI understanding across biology subfields. This part-time, remote role involves primarily asynchronous work on research projects that run year-round, with placement dependent on project availability in specific domains.

• Develop and refine domain-specific prompts and test cases for large language models
• Evaluate and annotate LLM responses for scientific accuracy, clarity, and usefulness
• Research biological topics with the assistance of AI tools and synthesize findings into assessments
• Contribute tasks and feedback that help advance the scientific and language capabilities of AI models
• Work as part of a small, selective cohort on each project, collaborating with research teams as needed

• Masters students, candidates, or graduates in Biology
• Comfortable doing primarily asynchronous work and collaborating with AI research teams
• Confident that your domain expertise exceeds current AI systems in explaining key biological concepts
• Eagerness to learn new skills and contribute to AI research across related disciplines
• Selection for individual projects is competitive and limited to small cohorts chosen for disciplinary and research expertise

• Location: Remote, asynchronous work from any location
• Employment type: Part-time
• Flexible hours, with no minimum weekly commitment
• Project placement is available year-round but varies by domain and by project availability

Up to $55/hr (depending on the project)

• F-1 students who are eligible for CPT or OPT may be eligible to participate; confirm eligibility with your Designated School Official
• If your school requires enrollment in a specific CPT course, this program may not satisfy that requirement
• STEM OPT is not supported

To apply, create an account with the program, complete identity verification, and join onboarding for projects that match your expertise. After onboarding, you can be considered for project placement, begin contributing to work, and receive compensation. Project assignment and acceptance depend on availability and cohort selection.