The Mission
We are inviting Founders and Early Operators to help us document and review data systems they’ve built or managed at mid-size startups (20–150 people). We want to analyze the architecture behind:
- Core BI Layers: Dashboards, metrics, cohorts, and funnels.
- Operational Reporting: 30+ key queries across Product, Ops, and Finance.
- Stakeholder Logic: How data flows from schema to decision-maker.
Who This Is For
Experienced Founders: You have built or managed non-trivial internal systems in high-growth environments.
Startup Veterans: Prior experience in a high-growth startup environment (20–150 people) is required.
Domain-Agnostic: We value architectural complexity over industry-specific experience.
Availability: You can commit to a short-term, clearly scoped research engagement.
Engagement Details
Scope: Retrospective documentation and technical review of previously built systems.
Privacy: This is a private research effort. Full technical specs and compensation will be shared after an initial screening.
NOTICE: We will only be hiring CEOs, Founders, and Ex-Founders
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
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 Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
- Payments are weekly on Stripe or Wise based on services rendered.
Please note: We are unable to support H1-B or STEM OPT candidates at this time.
About Mercor
Mercor is the fastest-growing company in the world, and is already valued at over $10 billion in our most recent fundraising round. Based in San Francisco, Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.