Job Details

About the jobMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .Position: Professors in Finance, Accounting, LawType: W2 EmploymentCompensation: $55–$85/hourLocation: RemoteCommitment: 30+ hours/weekRole ResponsibilitiesDesign challenging, real-world domain-specific problems for agentic tasks . Target core capability loss failures in frontier AI models .Integrate problems into an Agentic development environment using Python . Prepare detailed instructions, overviews, and golden solutions.Evaluate cross-model performance on tasks. Analyze and classify failures as logical reasoning gaps.Identify tasks where the model fails all tests. Extract core capability loss patterns from agent trajectories.Collaborate with domain experts to guide the next generation of frontier AI tools .QualificationsMust-HaveCurrent or retired professor in Finance, Accounting, Law, etc.Degree in finance, accounting, law, or relevant field.Ability to engage reliably for at least 30 hours/week during weekdays.Basic ability to work independently and manage time.Strong verbal and written communication skills.PreferredExperience in AI training , model evaluation, and data annotation.Application Process (Takes 20–30 mins to complete)Upload resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.#J-18808-Ljbffr