The work
You will help improve AI systems by reviewing equity research materials and datasets. The work centers on earnings analysis, financial modeling, valuation, and investment reasoning rather than general data review.
You will assess whether modeled research is accurate and relevant, then provide written feedback grounded in real company and sector knowledge.
- Review datasets that represent real-world equity research analysis.
- Analyze earnings reports, revise estimates, and synthesize peer benchmarking insights.
- Evaluate company models covering revenue, margins, cash flow, and valuation drivers.
- Write concise research summaries and event-driven updates.
- Develop investment theses that connect qualitative and quantitative factors.
- Identify industry trends and company catalysts.
- Give feedback that keeps research content accurate and useful for AI training.
What it pays and takes
This is a remote, part-time contractor role. Prior AI training experience is not required when you bring the relevant equity research background.
- Pay: $175 to $300 per hour.
- Location: Remote, open to candidates in the countries specified for this project.
- Language: Professional fluency in English.
- Experience: Extensive experience as a sell-side Research Associate with direct ownership of company models and written research, or experience as a publishing or lead Research Analyst.
- Research background: Coverage of multiple companies through several earnings cycles while maintaining comprehensive financial models.
- Required expertise: Earnings analysis, peer benchmarking, valuation, and event-driven research.
- Sector knowledge: Deep specialist expertise in at least one sector, such as banking, insurance, or biotechnology.
- Communication: Ability to connect business drivers to financial outcomes and explain complex financial concepts clearly.
- Investment judgment: Ability to formulate and defend investment theses while taking responsibility for research accuracy and quality.
How it works
You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.
About AI training work
AI training is the human work behind systems that learn from examples. Experts review information, write or rate model responses, and provide feedback so AI systems produce more accurate and useful results. People with strong finance expertise are needed when the work depends on sound analysis and real-world judgment.