Remote Biostatistics & AI Training Architect

DataAnnotation; United States; Remote; USD 55,000 - 172,000; Full time

Benefits offered by this job

Flexible, remote work

Project-based engagements

Job summary

DataAnnotation is seeking experienced computational biologists and bioinformaticians to help train AI models. You’ll design realistic analysis tasks from your own practice, run them through frontier AI systems, and grade what comes back against a professional standard.

The role involves creating clear grading rubrics, explaining why results pass or fail, and flagging concrete failures with evidence—batch effects, incorrect tests, or misused references.

Qualifications

• 3+ years hands-on analyzing real biological data in industry, an academic lab, or a research institute.
• Ability to write, debug, and explain analysis code in Python and/or R.
• Experience with multiomics or ML in biology is valued.

Responsibilities

• Design realistic analysis tasks from your workflows for frontier AI systems.
• Run tasks through AI agents and grade the deliverables against professional standards.
• Write clear grading rubrics and justify why results pass or fail.
• Flag concrete failures with evidence (batch effects, incorrect tests, or misused references).

Skills

Python

R

Analytical thinking

Education

Master’s or PhD in biology, bioinformatics, biostatistics, computer science, or related field

Tools

Claude

ChatGPT

Job description

DataAnnotation is seeking experienced computational biologists and bioinformaticians to help train AI models. You’ll design realistic analysis tasks from your own practice, run them through frontier AI systems, and grade what comes back against a professional standard.

The role involves creating clear grading rubrics, explaining why results pass or fail, and flagging concrete failures with evidence—batch effects, incorrect tests, or misused references.