
Equity Research AI Contributor
Posted Oct 19

Posted Oct 19
This is a fully remote position, open to applicants in United States.
• Develop realistic Excel tasks centered around equity research activities, which include enhancing existing models, correcting flawed models, and constructing models from provided briefs.
• Methodically work through each task to derive a clear and accurate solution.
• Formulate precise yes-or-no criteria for evaluating attempts.
• Participate in a 30-minute group walkthrough session.
• Create and present one original task, along with its brief and the necessary input workbook(s).
• Test the task against current leading AI models.
• Draft a comprehensive yes-or-no rubric when AI models yield incorrect outcomes.
• Collaborate with a reviewer to obtain task approval.
• Generate evaluation and training tasks for AI systems utilized in professional environments.
• Over 3 years of experience in sell-side or buy-side equity research, focusing on a specific sector or portfolio of stocks.
• Extensive hands-on experience with Excel, including earnings extraction and forecasting, calendarization, sum-of-the-parts (SOTP) valuation, data packs, and complex nested formulas.
• Excellent written communication skills in English.
• Strong attention to detail.
• Eagerness to learn about AI concepts and evaluations.
• Required to create an original task based on personal work during the onboarding process.
• Necessity to submit the brief and human-generated input workbooks; uploading input files is mandatory.
• Use of sanitized real data or publicly available data with proper source attribution is required.
• AI usage is prohibited when developing the task and input workbooks.
• Availability for an estimated 4–6 week project that commences immediately is essential.
• Must operate as an independent contractor.
• Position is fully remote.
• Flexible scheduling; tasks can be completed at your convenience.
• Weekly payments upon task completion.
• Opportunity to undertake multiple tasks throughout the duration of the project after the initial task is completed.
• Potential for project extensions based on needs and performance.
EWOR
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