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Finance and Insurance Professional for AI Research

Up to $110/hr (depending on the project)

RemotePart-timefinance
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About this role

Finance and insurance professionals apply their domain expertise to evaluate and craft prompts and model responses that improve how AI systems understand real-world financial and insurance tasks.

Key Responsibilities
  • Apply professional knowledge to improve AI understanding of finance and insurance use cases.
  • Develop industry-specific prompts and tasks for large language models.
  • Evaluate and rate LLM responses for accuracy, relevance, and professional appropriateness.
  • Provide clear feedback and examples that help refine model behavior across financial and insurance scenarios.
  • Contribute to projects across different areas of expertise as opportunities arise.
Qualifications
  • Minimum 4 years of professional experience in one or more of the following or similar roles: Financial Services Sales Agent, Credit Analyst, Credit Counselor, Securities Sales Agent, Investment Sales Representative, Broker, Registered Representative.
  • Comfortable working primarily in an asynchronous format, collaborating remotely with AI research teams.
Work Terms
  • Location: Remote.
  • Employment type: Part-time.
  • Schedule: Flexible hours, asynchronous work, no minimum hourly commitment required.
  • Project placement depends on availability, the program runs year-round and project opportunities open periodically across different specialties.
Compensation
  • Up to $110/hr (depending on the project)
Eligibility
  • F-1 students who are eligible for CPT or OPT may be eligible to participate. Work with your Designated School Official to confirm eligibility.
  • If your school requires enrollment in a CPT course for authorization, this program may not meet that requirement.
  • STEM OPT is not supported for participation.
  • Refer to the program Help Center article for detailed information on supported work authorizations.
Application Process
  • Create an account with the program and complete the initial profile information.
  • Verify your identity as part of eligibility and onboarding checks.
  • Browse and join relevant projects, complete any required onboarding for those projects.
  • Begin performing project tasks and receive compensation for approved work.

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