In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This engagement specifically seeks contributors with recent, hands-on experience producing published, sell-side research on public companies. You'll have the opportunity to evaluate AI tools and participate in expert interviews, directly influencing how financial research workflows are enhanced by emerging technologies.

• Participate in structured expert interviews to provide insight into current sell-side research methodologies and workflows.
• Test and evaluate AI-powered tools and platforms designed for equity research analysis, delivering feedback on usability, coverage, and analytical output.
• Review and interpret generated financial content to assess accuracy, depth, and industry relevance.
• Share perspectives on integrating AI tools into traditional equity research processes.
• Document observations and recommendations to inform the development of advanced AI models tailored to financial research needs.
• Collaborate with project coordinators to ensure feedback is actionable and aligns with project objectives.
• Contribute written and verbal feedback, emphasizing clarity and depth in communication.

• Current or recent experience as a sell-side Equity Research Analyst or Associate, including publishing research, ratings, price targets, earnings notes, or coverage initiations for public companies.
• Experience participating in or conducting interviews, panel discussions, or feedback sessions on industry tools and practices.
• Background working with institutional clients and accustomed to the standards of published sell-side research.

Work arrangement: Fully remote