Remote Translational Medicine AI Trainer

DataAnnotation; Delaware; Remote; USD 55,000 - 172,000; Full time

Benefits offered by this job

Flexible, remote work

Project-based opportunities

Job summary

DataAnnotation is seeking experienced computational biologists and bioinformaticians to design realistic analysis tasks for training AI models. You will run tasks through frontier AI agents and grade outputs against professional standards, writing clear rubrics and highlighting concrete failures with evidence.

The role emphasizes genomics, transcriptomics, proteomics, and multiomics data, with remote, project-based work available to candidates in multiple regions.

Qualifications

• 3+ years hands-on analyzing real biological data in industry, an academic lab, or a research institute.
• Proficient in Python and/or R (at least one required, both preferred).
• Depth in genomics, transcriptomics, multiomics, or genetics.
• Experience owning/ending-to-end analyses and judging real results.

Responsibilities

• Design realistic analysis tasks from your workflows and relevant data files.
• Run tasks through frontier AI agents and grade the deliverables against a standard.
• Write clear grading rubrics and justify passes/fails.
• Flag concrete failures with evidence such as ignored batch effects or incorrect statistical tests.

Skills

Python

R

Genomics data analysis

ML in biology

Data QC

Education

Master's or PhD in biology or related field

Tools

Jupyter

Git

Job description

DataAnnotation is seeking experienced computational biologists and bioinformaticians to design realistic analysis tasks for training AI models. You will run tasks through frontier AI agents and grade outputs against professional standards, writing clear rubrics and highlighting concrete failures with evidence.

The role emphasizes genomics, transcriptomics, proteomics, and multiomics data, with remote, project-based work available to candidates in multiple regions.