Experimental Biologist
DataAnnotation · Remote · Customer support / ops
Experimental 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
- Customer support / ops
- Listed
- Since Oct 24, last confirmed Oct 24
As listed by DataAnnotation: “Up to $125+/hr”
How the pay compares
Higher than 89% of the 76 distinct hourly rates advertised for Customer support / ops 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 bench scientists to help train AI models. You’ll design realistic experimental-biology tasks from your own practice, run them through frontier AI systems, and grade what comes back against the standard you’d hold a colleague to.”
Show the full listing
Overview We’re looking for experienced bench scientists to help train AI models. You’ll design realistic experimental-biology tasks from your own practice, run them through frontier AI systems, and grade what comes back against the standard you’d hold a colleague to. The models can already talk fluently about biology. What they can’t yet do reliably is the real work: call a plate QC go/no-go, gate a flow panel, check a cloning strategy, or read a Western blot from the raw images. Your bench judgment becomes the benchmark those models are measured against.
What you’ll actually do Design realistic experimental tasks from your own workflows: the scenario, the prompt, and the supporting files an agent would need (plate maps and reader output, gel and blot images, flow summaries, protocols, QC records). Run tasks through frontier AI agents and grade the deliverable they produce (a QC summary, experimental plan, or troubleshooting memo) against a professional standard. Write clear grading rubrics that specify what a correct deliverable must contain (the right controls, the right wells excluded, the right diagnosis of a failed run), and explain why a response passes or fails. Flag concrete failures with evidence: controls ignored, edge effects and outliers missed, wrong normalization, plausible-sounding troubleshooting the raw data contradict, or fabricated values. Problems draw on whatever you know best: Molecular and cell biology: cloning, cell culture, and cell-based assays. Protein biochemistry: purification, characterization, and assay development. Immunology and flow cytometry: panel design and gating. Imaging and histology, microbiology and virology. In vivo and preclinical work, plus lab operations and analytical sciences.
Roles this fits Common backgrounds: Research Scientist, Molecular / Cell Biologist, Postdoctoral Fellow.
What we look for 3+ years designing and running experiments in a pharma, biotech, or academic research lab (counted after undergraduate st
About DataAnnotation: how it pays, how to get in, and what to know first. Read the guide →
Similar open roles
Frequently asked questions
How do I apply for the Experimental 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 Experimental Biologist role at DataAnnotation remote?
Yes - DataAnnotation lists this role as remote.
What does the Experimental 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 Experimental Biologist?
Customer support / ops. 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.
Get new AI-training roles by email
One email a week: the new roles worth opening, what new listings pay, and a count from every network we track. No spam, unsubscribe anytime.
Free. See how we make money.