Remote Biomedical AI Trainer & Model Evaluator

DataAnnotation; United States; Remote; USD 142,000 - 202,000; Full time

Job summary

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

The role emphasizes QC of RNA-seq, variant interpretation, and multiomics analysis, with remote, project-based work available across North America and beyond.

Qualifications

• 3+ years hands-on analyzing real biological data in industry, an academic lab, or a research institute.
• You write, debug, and can explain your own analysis code in Python and/or R (at least one required, both preferred).
• Depth in at least one of: genomics and variant interpretation; bulk or single-cell transcriptomics; proteomics / metabolomics / multiomics; population and statistical genetics; ML applied to biology.
• You’ve owned a multistep analysis end to end, from raw or messy data to final interpretation, and can judge whether a result is real (normalization, batch effects, multiple-testing correction, biological interpretation).
• Clear written English, comfort with ambiguity, and familiarity with AI/LLM tools like Claude or ChatGPT.
• Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted).

Responsibilities

• Design realistic analysis tasks from your own workflows: the scenario, the prompt, and the files an agent would need (count matrices, sample sheets and metadata, VCFs, pipeline logs and QC output, analysis notebooks).
• Run tasks through frontier AI agents and grade the deliverable against the standard you’d hold a colleague to.
• Write clear grading rubrics (the right normalization, the right multiple-testing correction, the right biological reading) and explain why a response passes or fails.
• Flag concrete failures with evidence: batch effects and confounders ignored, wrong statistical test or uncorrected p-values, misused reference version, silently dropped samples, or code that doesn’t do what the narrative claims.

Skills

Python

R

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 practice, run them through frontier AI systems, and grade the results against professional standards.

The role emphasizes QC of RNA-seq, variant interpretation, and multiomics analysis, with remote, project-based work available across North America and beyond.