Mercor
MercorVerified listing

Health Physicist - Remote AI Red-Teaming Contract

75 fixed
Remote
task-based
100 openings
Posted September 15, 2026
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Listing checked September 15, 2026 · pay as published by Mercor

Key details

Pay
$75 fixed
Location
Remote
Job type
task-based
Openings
100
Posted
September 15, 2026

Overview

A project assembles a panel of radiological safety experts to red-team frontier AI models. The core question: can a model judge the misuse potential of a technical request, answer legitimate questions, and refuse requests that pose real harm; a refusal of a routine dose question counts as a failure, just as an answer that should have been refused does. Experts write challenging single-turn prompts in health physics, label each as benign, dual-use, or adversarial, then assess model replies against a defined policy standard. The work also requires reference answers that show the correct response and the technical reasoning behind it. The domain sits on the dual-use line: the same isotope supports cancer therapy and industrial radiography, and the same shielding calculation protects a worker or conceals a source.

What You'll Do6

  • Craft single-turn prompts that push a model to handle benign, dual-use, and adversarial requests in health physics.
  • Label each prompt by risk category and set the expected boundary for a correct response.
  • Review model replies against the project's policy standard and decide whether each reply held that boundary.
  • Write reference answers that demonstrate the correct response and lay out the technical reasoning.
  • Produce written rationales that a non-specialist can follow.
  • Read and write about misuse scenarios in radiological safety for long sessions. The team briefs experts before this work starts, and you can pause or step away without penalty.

Requirements9

  • Hands-on experience as an operational health physicist at a DOE site, national laboratory, or reactor facility, including survey, assay, and contamination control.
  • Background in internal dosimetry or bioassay, with intake assessment, dose reconstruction, or committed dose work.
  • Decommissioning and D&D experience: characterisation surveys, MARSSIM, and release criteria.
  • Accelerator or reactor health physics knowledge: activation products, neutron fields, shielding design, and verification.
  • Dose planning for high-hazard tasks, such as RWP development, ALARA reviews, hot-cell operations, or glovebox work.
  • Ability to separate a routine professional question from a request that seeks dangerous information.
  • Technical writing skill strong enough to explain judgments to non-specialists. Published research, expert witness work, or prior technical writing helps. Include a sample or link.
  • Red-teaming experience helps.
  • You must avoid classified, export-controlled, NDA-covered, or prepublication-review material. If you hold such obligations, disclose them so the scope can be adjusted.

Who Should Apply

Health physicists who have stood in the facility and run the surveys, dose plans, and contamination controls fit this panel best. Ideal candidates can point to operational work at a DOE site, national lab, reactor, or accelerator, and they can write a clear rationale for every judgment. Prior red-teaming or policy review is a plus, but the strongest signal is hands-on radiological safety work plus a technical writing sample. The role is less suitable for generalists who know AI safety but lack health physics practice, or for specialists who cannot share unclassified work. Applications often score low when the writing sample is missing, when the candidate cannot explain how they would tell a routine dose question from a probe for misuse, or when classified or export-controlled material sits at the center of their experience.

Salary Insight

The listing shows a one-time payment of $75. That rate fits a narrow task, such as writing and reviewing a set of prompts, not a multi-week consulting engagement. No larger salary range appears in the source. Ask about the expected number of prompts and review rounds before you commit.

Pay and demand for AI Training roles

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Aggregated

This role · as published

$75 fixed

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Typical pay · estimated

$68/hour

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Most AI Training roles pay $38–$95 per hour.

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Required skills

Health PhysicsRadiological SafetyRed TeamingAI Red TeamingPrompt EngineeringRadiation ProtectionDosimetryInternal DosimetryBioassayContamination ControlSurveyAssayMarssimRelease CriteriaDecommissioningD&dShielding DesignNeutron FieldsActivation ProductsAlaraRwp DevelopmentHot Cell OperationsGlovebox OperationsDose ReconstructionCommitted DosePolicy EvaluationTechnical Writing

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