Financial Analysts: Evaluating Evidence for an AI Research Agent
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Browse open opportunitiesSign up to TeracWe're running a paid study on the citation accuracy of AI financial research agents. Our goal is to train the system to properly evaluate supporting evidence before citing a financial or news claim. This work directly influences how financial models verify information and build trust with users.
You will participate in a remote session to review a series of financial claims alongside their supporting documentation. For each claim, you will analyze the provided evidence and determine if it justifies a formal citation. We will ask you to walk us through your reasoning and explain your verification process. Your feedback will help refine the logic the agent uses to validate market news.
We welcome financial analysts, equity researchers, investment professionals, and financial journalists. The ideal candidate has strong experience fact-checking financial news or verifying market claims. You should be comfortable reading financial documentation and making swift, accurate judgments on source credibility.
- Review specific financial and news claims alongside provided supporting evidence.
- Determine whether each claim meets the standard for formal citation.
- Explain the reasoning behind your verification decisions.
- Identify potential gaps or red flags in the supporting documentation.
- Professional experience in financial analysis, equity research, or financial journalism.
- Familiarity with evaluating market claims and fact-checking financial news.
- Strong analytical skills and attention to detail when reviewing documentation.
- Comfortable articulating your evaluation process during a remote session.
- You will be engaged as an independent contractor.
- This is a fully remote opportunity that can be completed on your own schedule.
- Opportunities can be extended, shortened, or concluded early depending on needs and performance.
- Your participation will not involve access to confidential or proprietary information from any employer, client, or institution.
- Payments are processed weekly based on services rendered.
- We are unable to support H1-B or STEM OPT candidates at this time.
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