Venture Capital AI Research Contributor
Aptura · Global
Infrastructureremotesenior
At a glance
Highlights
- Design realistic VC modelling tasks that stress-test frontier AI systems.
- Work through each modelling scenario yourself to set the correct answer.
- Write sharp yes-or-no criteria to grade how well AI handles VC work.
What they offer
- Task-based 4-6 week engagement with possible extension
- Weekly payments following task completion
- Independent contractor role with flexible self-directed schedule
Ideal candidate
A hands-on VC operator who lives in cap tables and round models and gets frustrated when AI gets them wrong. Detail-obsessed, clear writer who enjoys turning real work into rigorous tests for frontier models.
Requirements
- 3+ years in venture capital, startup finance or venture law covering seed to growth-stage rounds
- Hands-on experience building cap tables, round models and exit waterfalls
- Deep Excel skills with SAFE and note conversions, liquidation preferences, nested formulas and named ranges
- Strong written English communication with attention to detail
- Willingness to learn AI and evals concepts and experience using AI tools
- remote policy
- Fully remote, completed on your own schedule
- hiring process
- Apply with details and CV, join a 30-minute group walkthrough call, then submit one original brief with human-built input workbook(s). If frontier models fail it, write a detailed yes-or-no rubric for reviewer sign-off and written approval.
Lab profile
About Aptura
Builds evaluation datasets and RL environments to make AI reliable in finance, healthcare, and legal.
What they build
- Evaluation datasets for regulated domains
- RL environments for high-stakes tasks
- Expert-curated training data and calibrated rubrics
Known for
- Research partner to Anthropic, OpenAI, Google DeepMind
- Specialization in finance, healthcare, and legal
- Clinician expert network for medical oversight
Key facts
- Based in London
- Small, lean team
Posted · Last seen