Remote AI Training Scientist — Genomics & Imaging

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

Benefits offered by this job

Flexible remote work

Project-based work

Remote-friendly

Job summary

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

You’ll write clear grading rubrics, explain why results pass or fail, and flag concrete failures with evidence. This role emphasizes rigorous data analysis across genomics, transcriptomics, proteomics, and multiomics.

Qualifications

• 3+ years hands-on analyzing real biological data in industry, an academic lab, or a research institute.
• Proficient in Python and/or R; ability to explain analysis code.
• Deep knowledge in genomics, transcriptomics, proteomics, or multiomics.
• Experience owning end-to-end analysis pipelines and assessing validity.
• Master’s or PhD completed in relevant field (US/Canada/Europe/UK).

Responsibilities

• Design realistic analysis tasks for frontier AI systems.
• Run tasks through agents and grade deliverables against standards.
• Write clear grading rubrics and explain pass/fail.
• Flag concrete failures with evidence.

Skills

Biomedical data analysis

Statistical reasoning

Critical thinking

Documentation & communication

Education

Master’s or PhD (or candidate)

Tools

Python

R

Job description

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

You’ll write clear grading rubrics, explain why results pass or fail, and flag concrete failures with evidence. This role emphasizes rigorous data analysis across genomics, transcriptomics, proteomics, and multiomics.