Role Description
A cutting-edge AI research initiative is launching an intensive Finance Sprint focused on evaluating whether real-world finance workflows accurately reflect professional practice. We are seeking experienced investment professionals to assess the realism, clarity, and quality of finance-related tasks used to train and evaluate advanced AI systems.
This is a high-engagement, fully remote project beginning immediately. Opportunities are offered on a first-come, first-served basis, and participants should be available to remain actively involved throughout the sprint.
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Work typically consists of focused sessions lasting 2β4 hours.
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Requires timely communication, including responding to project updates, questions, and feedback during the day.
Key Responsibilities
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Review finance tasks and workflows for professional realism, clarity, completeness, and internal consistency.
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Assess whether task inputs, assumptions, workflows, and expected outcomes accurately reflect real-world finance practices.
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Identify missing assumptions, ambiguous instructions, unsupported requirements, impractical constraints, and important edge cases.
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Evaluate whether tasks appropriately measure professional finance capabilities rather than generic knowledge.
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Provide concise, structured written feedback along with practical recommendations to improve task quality and realism.
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Validate workflow logic and maintain consistent evaluation standards across the project.
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Collaborate with fellow finance experts to ensure high-quality evaluations throughout the sprint.
Qualifications
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5β9 years of relevant experience for the Practitioner track, or 9β15 years for the Senior Reviewer track.
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Professional experience in one or more of the following:
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Fundamental Equity Research
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Asset Management
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Hedge Funds
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Public Markets Investing
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Related Investment Research Roles
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Strong expertise in:
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Financial Statement Analysis
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Financial Modeling
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Forecasting
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Valuation
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Investment Decision-Making
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Excellent written communication skills with the ability to explain both conclusions and supporting rationale.
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Exceptional attention to detail and sound professional judgment.
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Ability to evaluate work against structured quality standards and provide objective feedback.
Preferred Qualifications
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Experience covering Technology, Media & Telecommunications (TMT) or Semiconductor sectors.
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Experience conducting event-driven research or analyzing SEC filings.
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Prior experience reviewing analyst work, approving research, setting quality standards, or designing review processes.
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Background contributing to research quality assurance or investment oversight functions.
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Familiarity with AI evaluation, data quality, or model assessment projects is a plus.
Benefits
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Your expertise will directly improve the quality of advanced AI systems by ensuring finance tasks accurately reflect real-world professional workflows.
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Help define the standards by which AI models are evaluated, ensuring they demonstrate meaningful financial reasoning and practical judgment.
Role Details
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Employment Type: Independent Contractor
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Work Arrangement: Fully Remote
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Project Type: High-engagement Finance Sprint
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Commitment: Multi-hour work sessions (typically 2β4 hours) with active participation throughout the project.
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Availability: Timely responses to project communications and feedback during the sprint are expected.
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Project Start: Immediate, with limited spots available.
Equal Opportunity
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract & Payment Terms
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You will be engaged as an independent contractor.
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This is a fully remote opportunity that can be completed on your own schedule.
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Projects may be extended, shortened, or concluded early based on business needs and performance.
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Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
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Payments are made weekly via Stripe or Wise based on services rendered.
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Please note: We are unable to support H1-B or STEM OPT candidates at this time.