Remote Biologist for AI Research & Evaluation

SaidGig

New York (NY)

Remote

USD 96,000 - 145,000

Part time

5 days ago
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Job summary

SaidGig is seeking biology researchers to apply hands-on judgment for evaluating and improving advanced AI systems on a project-based basis. This ongoing talent pool supports short-notice opportunities without guaranteeing immediate assignments.

You will design research problems, review AI-generated experimental designs and interpretations, and identify issues where theoretical correctness may fail in lab practice due to organism, assay, or reagent limitations.

Qualifications

  • Graduate degree in biology or related life-science field with research experience.
  • Recent firsthand experience designing and conducting experiments, with ability to explain decisions.
  • Clear written communication and ability to explain scientific reasoning.
  • Comfort working through ambiguous tasks and raising unclear instructions.

Responsibilities

  • Create research problems based on your own work, including the experimental system, data, controls, and a reference answer for evaluating model responses.
  • Review AI-generated experimental designs and interpretations, assessing controls, statistical fit, and whether conclusions are supported by figures and results.
  • Identify answers that are technically correct in theory but would not hold up in laboratory practice because of the organism, assay limitations, or what reagents can demonstrate.

Skills

Written communication
Scientific reasoning
Ambiguity tolerance

Education

Graduate degree in biology or related life-science field

Job description

SaidGig is seeking biology researchers to apply hands-on judgment for evaluating and improving advanced AI systems on a project-based basis. This ongoing talent pool supports short-notice opportunities without guaranteeing immediate assignments.

You will design research problems, review AI-generated experimental designs and interpretations, and identify issues where theoretical correctness may fail in lab practice due to organism, assay, or reagent limitations.

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