AI Trainer for Genomics & Bioinformatics Research

DataAnnotation; Colorado; Remote; USD 55,000 - 172,000; Part time

Job summary

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

The role emphasizes objective assessment, clear rubrics, and evidence-based flagging of failures. Applicants should have 3+ years of hands-on data analysis in industry or academia, strong Python and/or R skills, and a PhD or

Qualifications

• 3+ years hands-on analyzing real biological data in industry, an academic lab, or a research institute.
• Proficiency in Python and/or R with ability to write, debug, and explain analysis code.
• Strong background in at least one area: genomics/variant interpretation, transcriptomics, proteomics/metabolomics, or statistical genetics.
• Experience designing end-to-end multi-step analyses from raw data to interpretation and quality assessment.

Responsibilities

• Design realistic analysis tasks from your workflows, including prompts and required files.
• Run tasks through frontier AI agents and grade deliverables against professional standards.
• Write clear grading rubrics and explain why results pass or fail.
• Flag concrete failures with evidence such as ignored batch effects, incorrect tests, or misused references.

Skills

Python

R

Education

Master’s or PhD in biology or related field

Tools

Claude

ChatGPT

Python notebooks

R scripts

Job description

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

The role emphasizes objective assessment, clear rubrics, and evidence-based flagging of failures. Applicants should have 3+ years of hands-on data analysis in industry or academia, strong Python and/or R skills, and a PhD or