Venture Capital AI Research Contributor

Aptura; United States; Remote; USD 55,000 - 96,000; Full time

Job summary

Aptura is seeking Subject Matter Experts with venture capital experience to design and test complex Excel models (cap tables, round models, exit waterfalls). You will translate your own VC work into realistic tasks and write precise yes-or-no rubrics. This fully remote contractor role runs for about 4–6 weeks with weekly payments.

Start date is immediate; you will work independently, producing human-built input workbooks and onboarding tasks. AI/evaluation concepts are central to the process.

Qualifications

• 3+ years in venture capital, startup finance or venture law covering seed to growth-stage rounds.
• Deep hands-on Excel: cap tables, SAFE and note conversions, liquidation preferences, nested formulas and named ranges.
• Strong written English communication skills.
• Attention to detail, and willingness to learn concepts in AI and Evals.

Responsibilities

• Writing realistic Excel tasks drawn from your own work: extending existing models, fixing broken ones and building from a brief
• Working through each task yourself so there is a clear, correct answer
• Writing yes-or-no criteria precise enough that a grader can mark any attempt against them

Skills

Venture capital

Excel modelling

Cap tables

SAFE and note conversions

Liquidation preferences

Nested formulas

Named ranges

Strong written English

Attention to detail

AI/Evals learning

Job description

About the Role

Aptura is looking for Subject Matter Experts from venture capital, from seed to growth stage, who build cap tables, round models and exit waterfalls in Excel. You have used AI tools on your own work and been frustrated by the mistakes they make. You will turn that experience into realistic Excel tasks that test how well AI does the modelling work of a Venture Capital Associate.

Responsibilities

• Writing realistic Excel tasks drawn from your own work: extending existing models, fixing broken ones and building from a brief

• Working through each task yourself so there is a clear, correct answer

• Writing yes-or-no criteria precise enough that a grader can mark any attempt against them

Necessary Qualifications

• 3+ years in venture capital, startup finance or venture law, covering seed to growth-stage rounds

• Deep hands-on Excel: cap tables, SAFE and note conversions, liquidation preferences, nested formulas and named ranges

• Strong written English communication skills.

• Attention to detail, and willingness to learn concepts in AI and Evals

Additional Information

• Start Date : Immediate

• Duration: Approximately 4–6 weeks

• Payment: task-based. Experts who complete their first task within the required timeline will then be qualified to do multiple tasks for the remainder of the project.

Contract and Payment Terms

• You will be engaged as an independent contractor.

• This is a fully remote role that can be completed on your own schedule.

• Projects can be extended, shortened, or concluded early depending on needs and performance.

• Your work at Aptura will not involve access to confidential or proprietary information from any employer, client, or institution.

• Payments will be weekly following task completion.

Getting Started

• Attend the walkthrough and create one original task from your own work. Submit the brief, the actual input workbook(s) needed to complete it. Input-file uploads are compulsory.

• Write the brief yourself. Input workbooks must also be human-built. Use real data that has been sanitised, or public data with the source named. No AI usage allowed.

• We run your task against current frontier AI models. If the models get it wrong, you then write a detailed yes-or-no rubric, and a reviewer signs off on the task with you.

• Completing onboarding does not guarantee a job offer; selection remains subject to written approval of the task proposal.

About Aptura

Aptura is an applied AI and data company working with frontier labs to train AI systems on real professional work. We do this by building high-quality evaluation and training environments that teach AI agents to produce work that can be used in daily workflows.