Remote AI Trainer for Genomics & Bioinformatics

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

Job summary

DataAnnotation is seeking experienced computational biologists and bioinformaticians to train AI models by designing realistic analysis tasks from their own practice, running them through frontier AI systems, and grading the outputs against a professional standard.

You will write clear grading rubrics, flag concrete failures with evidence, and provide actionable feedback on genomics, transcriptomics, proteomics, and multiomics analyses to ensure reliable, publication‑readiness results.

Qualifications

• 3+ years hands-on analyzing real biological data in industry, academia, or a research institute.
• Ability to write, debug, and explain analysis code in Python and/or R.
• Depth in genomics/variant interpretation; transcriptomics; proteomics/metabolomics; population/genetics; ML in biology.

Responsibilities

• Design realistic analysis tasks from your workflows, including prompts and necessary files.
• Run tasks through frontier AI agents and grade deliverables against professional standards.
• Write clear grading rubrics and explain why a response passes or fails.
• Flag concrete failures with evidence (batch effects, wrong tests, misused references, dropped samples).

Skills

Python

R

Education

Master's or PhD in biology, bioinformatics, biostatistics, computer science

Tools

Claude

ChatGPT

Job description

DataAnnotation is seeking experienced computational biologists and bioinformaticians to train AI models by designing realistic analysis tasks from their own practice, running them through frontier AI systems, and grading the outputs against a professional standard.

You will write clear grading rubrics, flag concrete failures with evidence, and provide actionable feedback on genomics, transcriptomics, proteomics, and multiomics analyses to ensure reliable, publication‑readiness results.