Private Equity AI Research Contributor
Aptura · Global
Infrastructureremotemid-level
At a glance
Highlights
- Build realistic Excel LBO tasks that test how frontier AI models handle PE work.
- Create clear answers and yes-or-no rubrics to grade AI modelling attempts.
- Turn frustrating AI mistakes into evaluation environments for daily PE workflows.
What they offer
- Fully remote work on your own schedule
- 4-6 week project with possible extension
- Weekly payments following task completion
- Independent contractor engagement
Ideal candidate
Private equity professional who lives in Excel and has felt AI's modelling limits firsthand. Meticulous, clear communicator eager to turn real deal experience into better AI evaluation.
Requirements
- 3+ years in private equity or growth equity with buyout, growth or special situations experience
- Hands-on Excel modelling: LBOs, debt schedules, returns sensitivities, goal seek and circular references
- Strong written English communication skills with attention to detail
- Willingness to learn AI and evals concepts
- remote policy
- fully remote
- hiring process
- Apply with CV, join a 30-minute group walkthrough, then submit an original task with brief and workbooks for model testing and reviewer sign-off.
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
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