Computational Biologist
DataAnnotation · Remote · Data annotation / labeling
Computational Biologist is an open role at DataAnnotation, available remotely, with pay listed as Up to $125/hr.
Applications open on DataAnnotation’s own site. How we make money.
At a glance
- Pay
- Up to $125/hrEstimate, from DataAnnotation’s own wording
- Location
- Remote
- Work type
- Data annotation / labeling
- Listed
- Since Oct 24, last confirmed Oct 24
As listed by DataAnnotation: “Up to $125+/hr”
How the pay compares
Higher than 91% of the 85 distinct hourly rates advertised for Data annotation / labeling roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From DataAnnotation’s listing
“Overview We’re looking for experienced computational biologists and bioinformaticians to help train AI models. You’ll design realistic analysis tasks from your own practice, run them through frontier AI systems, and grade what comes back against a professional standard.”
Show the full listing
Overview We’re looking for experienced computational biologists and bioinformaticians to help train AI models. You’ll design realistic analysis tasks from your own practice, run them through frontier AI systems, and grade what comes back against a professional standard. The models can talk fluently about biological data analysis. What they can’t yet do reliably is the real work: QC an RNA-seq count matrix, prioritize variants, diagnose a batch effect, or audit a pipeline. Your judgment of when a result is real becomes the benchmark those models are measured against.
What you’ll actually do 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 (an analysis report, annotated table, figure set, or notebook) 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. Problems draw on whatever you know best: Genomics and variant interpretation. Bulk and single-cell transcriptomics. Proteomics, metabolomics, and multiomics integration. Population and statistical genetics. Machine learning applied to biology.
Roles this fits Common backgrounds: Bioinformatics Scientist, Genomics Data Scientist, Computational Biologist.
What we look for 3+ years hands-on analyzing real biological data in industry, an academic lab, or a research institute (counted after undergraduate study). You write, debug, and can explain your own analysis code in Python and/or R (at least one required,
About DataAnnotation: how it pays, how to get in, and what to know first. Read the guide →
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Frequently asked questions
How do I apply for the Computational Biologist role at DataAnnotation?
Applications go through DataAnnotation's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. DataAnnotation's access model is "Open / self-serve" (Open application). This listing was first seen here on October 24, 2026 and was still live at the last check.
Is the Computational Biologist role at DataAnnotation remote?
Yes - DataAnnotation lists this role as remote.
What does the Computational Biologist role at DataAnnotation pay?
DataAnnotation indicates Up to $125/hr for this role, but hedges the figure rather than committing to it. Treat it as an indication: HumanSourcer flags hedged pay instead of presenting it as a firm rate, and the listing's own wording is quoted in the Pay section above.
What kind of work is Computational Biologist?
Data annotation / labeling. Generalist and expert AI training; coding, STEM, law, medicine, writing
Is DataAnnotation a legitimate AI-training platform?
Reported worker-facing operating brand - and that relationship is rated "High - reported, not disclosed on portal" here because it can be checked against nymag.com rather than taken on DataAnnotation's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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