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Radiological AI Safety Evaluators & SMEs

Job in Phoenix, Maricopa County, Arizona, 85001, USA
Listing for: Pasiflora AI LLC
Part Time position
Listed on 2026-11-05
Job specializations:
  • Engineering
    Physics, AI Evaluation, Research Scientist
  • Science
    Physics, AI Evaluation, Research Scientist
Salary/Wage Range or Industry Benchmark: 55000 - 110000 USD Yearly USD 55000.00 110000.00 YEAR
Job Description & How to Apply Below

Location: Remote (approved countries) ·
Type: Independent contractor

Remote
· Contract
· Radiological Science
· Health Physics
· AI Safety
· CBRN

What this pays

Rates are set by the client project, not by us, and we do not know them until a contract is in place. Work is paid hourly or per task depending on the engagement. We would rather tell you that than publish a figure we cannot stand behind.

About the Role

AI Safety Evaluation Project | Remote | Contract Locations: US, Canada, UK, Europe, and Australia We are seeking qualified scientific and technical professionals to support an AI safety evaluation project focused on radiological, nuclear, and CBRN-related content. The work involves reviewing AI-generated prompts and responses, evaluating safety risks, identifying dual-use content, and assessing technical accuracy and responsible handling. Tier 1 - First-Pass Annotators Bachelor's or Master's degree in a relevant STEM or technical field.

Strong backgrounds may include Physics, Nuclear Engineering, Nuclear Physics, Radiological Science, Radiation Physics, Health Physics, Chemistry, Chemical Engineering, Materials Science, or related engineering disciplines. Relevant professional experience in radiation, nuclear technology, hazardous materials, laboratory science, engineering, or safety may also qualify. Tier 2 - Senior SMEs and Auditors PhD or equivalent advanced industry or professional expertise in a relevant field.

Relevant backgrounds include Nuclear Engineering, Nuclear Physics, Physics, Radiological Science, Radiation Physics, Health Physics, Chemistry, Chemical Engineering, CBRN-related science and engineering, or closely related fields. Strong candidates may have professional experience in nuclear or radiological operations, radiation safety, nuclear security or safeguards, CBRN preparedness, hazardous-materials safety, scientific research, national laboratories, defense, or regulatory environments. Who we're looking for We value real-world subject-matter expertise, analytical judgment, and strong attention to detail.

Experience in AI evaluation, AI safety, scientific research, technical review, or quality assurance is a plus. CBRN experience is welcome, including expertise in Chemical, Biological, Radiological, or Nuclear domains. Remote and contract, within the eligible locations listed above.

Requirements
  • Tier 1:
    Bachelor's or Master's degree in a relevant STEM or technical field
  • Tier 2:
    PhD or equivalent advanced industry or professional expertise
  • A background in Physics, Nuclear Engineering, Nuclear Physics, Radiological Science, Radiation Physics, Health Physics, Chemistry, Chemical Engineering, Materials Science, or a related engineering discipline
  • Professional experience in radiation, nuclear technology, hazardous materials, laboratory science, engineering, or safety may qualify in place of a specific degree
  • Based in the US, Canada, the UK, Europe, or Australia
  • Analytical judgment and strong attention to detail
  • A plus: experience in AI evaluation, AI safety, scientific research, technical review, or quality assurance
Responsibilities
  • Tier 1: review AI prompts and model responses
  • Tier 1: classify content as Benign, Dual-Use, or Malicious using project guidelines
  • Tier 1: evaluate and rank responses for safety, and give a clear rationale for each
  • Tier 1: identify the legitimate and the potentially harmful components of dual-use scenarios
  • Tier 2: audit and QA Tier 1 annotations, and review complex or flagged cases
  • Tier 2: validate classifications, rankings, rationales, and reference responses
  • Tier 2: ensure evaluations meet appropriate scientific, technical, and safety standards
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