Finance and Insurance Professional for AI Research
Up to $110/hr (depending on the project)
RemotePart-timefinance
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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.
- 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.
- 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.
- Up to $110/hr (depending on the project)
- 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.
- 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.