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Government Quantitative Professional for AI Model Evaluation

Up to $120/hr (depending on the project)

RemotePart-timetechnology
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About this role

Government quantitative professionals apply their mathematical and data science expertise to evaluate AI-generated work, create realistic field-specific prompts, and provide structured feedback that improves how models understand government-sector tasks and language.

Key Responsibilities
  • Assess AI model outputs and content related to your professional field.
  • Develop prompts that reflect real government quantitative work, then evaluate the responses.
  • Provide clear, structured feedback to strengthen model performance.
  • Draw on experience such as mathematical research, model development, numerical analysis, computational methods, and practical problem-solving across science, engineering, business, or security.
  • Contribute perspective informed by mentoring, publishing or presenting research, and ongoing professional learning.
Qualifications
  • At least 4 years of professional experience in a government-sector quantitative role, such as mathematician or data scientist.
  • Ability to work independently and collaborate asynchronously with leading AI labs.
Work Terms
  • Remote, part-time, temporary, and asynchronous work.
  • Flexible scheduling with no minimum commitment; typical participation averages 5-20 hours.
  • Projects are available year-round, with opportunities opening periodically across areas of expertise.
  • Project placement depends on current availability. If a suitable project is not available when you apply, additional opportunities may open later.
Compensation

Up to $120/hr (depending on the project).

Eligibility
  • F-1 students eligible for CPT or OPT may be eligible for projects. Consult your Designated School Official to confirm eligibility.
  • If your school requires a CPT course, the work may not satisfy that requirement.
  • STEM OPT is not supported.
Application Process
  • Create an account and complete identity verification.
  • Complete onboarding for relevant available projects.
  • Begin contributing once placed on a project.

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