“You defined how the industry evaluates AI. Now you define what comes next.”
Worca Partner, AI Eval. By invitation only.
You’ve built eval organizations. Your standards are used across industries. Your benchmarks are the reference points companies measure against. The evaluators you’ve trained have become leaders themselves. The methodology you’ve designed has shaped regulatory expectations. You didn’t just practice AI evaluation — you defined it.
At L10, you’re not executing anymore. You’re shaping the future of how the world evaluates AI. New model architectures emerge — you design how to evaluate them. New regulations appear — they reference your methodology. New domains adopt AI — companies ask you how to measure quality. Your judgment about what “good AI” means has real consequences at scale.
This level is not applied for. The Worca partnership identifies candidates based on sustained industry impact, organizational legacy, and a track record that speaks for itself. If you’re reading this to figure out how to get here, the answer is simple: do the work at every level below and the work will speak for you.
What You Do
- Define industry evaluation standards — your methodology becomes the reference standard for how companies evaluate AI in multiple domains
- Shape regulatory direction — regulators seek your input. Your evaluation frameworks influence what compliance looks like.
- Strategic leadership — set the direction for Worca’s entire AI evaluation practice. Hiring priorities, methodology investments, client strategy, market positioning.
- Portfolio oversight — oversee eval quality across Worca’s entire client portfolio. Your standards are the quality bar.
- Talent legacy — the evaluators you’ve developed lead their own teams. Your teaching multiplies through generations of eval talent.
- Innovation agenda — direct research and development of new evaluation methodologies. Where should the field go next? You decide.
- Industry representation — represent Worca and the eval discipline in the industry. Standards bodies, advisory boards, conferences, publications.
AI Skills Required
- Strategic AI foresight — anticipate how AI capabilities will evolve and design evaluation approaches for capabilities that don’t exist yet
- AI-powered organizational intelligence — use AI to track performance, quality, and development across the entire eval practice
- Meta-methodology — evaluate and improve evaluation methodology itself. Continuous improvement of how we measure AI quality.
- AI industry analysis — comprehensive understanding of the AI landscape, competitive dynamics, and where evaluation creates the most value
Self-Evaluation Checklist
This level doesn’t have a self-evaluation checklist. If you’re at L10, you wrote the checklist for everyone else.
What the Partnership Evaluates
- Industry legacy — have your evaluation standards been adopted across multiple companies and domains? Do other eval practitioners cite your work?
- Organizational impact — have you built eval teams that produce excellent work independently? Have the people you’ve trained become leaders?
- Regulatory influence — do regulators reference your methodology? Have your frameworks shaped compliance expectations?
- Strategic vision — where is AI evaluation going? Does your vision for the field inspire confidence?
- Worca contribution — have you made Worca’s AI eval practice the standard that others aspire to?
Partnership Structure
- Equity participation — L10 Partners hold equity in Worca’s AI eval practice
- Profit sharing — share in the revenue generated by the eval practice you’ve built
- Strategic authority — vote on Worca’s eval strategy, hiring, and investments
- Lifetime status — once a Partner, always a Partner. Your legacy is permanent.
- Referral cut: 10% of placed evaluator’s monthly rate for the lifetime of their Worca career
Mentorship at This Level
- You receive: Peer mentorship from other Worca Partners. Cross-functional strategic advisory.
- You give: Everything. Your experience, judgment, and network are available to every evaluator in the Worca system. Your teaching defines the culture.
The Path to Here
Nobody plans to become a Worca Partner at L1. You start by learning to annotate data accurately. Then you learn to write test cases. Then you design eval frameworks. Then you diagnose root causes. Then you lead teams. Then you design methodology. Then you shape strategy. Then you define standards. Then you build organizations.
Each level requires different skills, different thinking, and different ambition. The thread through all of them: rigorous care about whether AI actually works. If you have that, the path is open.
The path is long. The work is real. And at every level, you’re building something that matters — systems that help the world trust its AI. Or not trust it, when trust isn’t earned. That honesty is the foundation. Everything else builds on it.