---
title: 'General Counsel at METR'
canonical: 'https://feeny.ai/job/general-counsel-metr-berkeley-4s59mgfhjagg'
type: 'job'
last_seen: '2026-09-07'
---

# General Counsel at METR

- **Company:** METR
- **Location:** Berkeley, CA
- **Compensation:** $328k–$402k
- **Work type:** onsite
- **Posted:** 2026-08-31
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/metr/8a041633-4445-46b3-b9e1-385af7985473

## Job description

## About METR

We are a nonprofit research organization that develops scientific methods to assess AI capabilities, risks, and mitigations, with a specific focus on threats related to AI R&D automation and misalignment. We believe it is robustly good for policymakers and civil society to have a clear understanding of risks from AI systems, and we are extremely excited to build a team of ambitious, excellent people to tackle one of the most important challenges of our time.

## About the role

METR is looking to hire its first in-house General Counsel to build our legal function from the ground up and help set our strategic direction for the next phase of METR’s growth. As our first legal hire, you’ll be building our legal capacity from zero to one, which includes standing up processes, deciding outside counsel strategy, and defining our internal policies. This is a strategic counsel role, and you’ll be a direct partner with the leadership team on how METR negotiates frontier AI lab agreements for evaluations as well as how we manage legal risk across all our work.

In-person strongly preferred. Remote considered in exceptional cases.

Work you’ll be owning may include:

- Providing strategic guidance to the leadership team on novel questions related to our work with frontier AI labs and policymakers.

- Leading on contract negotiations with frontier AI companies for evaluations and assessments.

- Building processes to support a scaling team including contract review and managing internal policies (e.g. conflict of interest, confidentiality, and data handling).

- Ensuring compliance related to 501(c)(3) status, reporting requirements, and our agreements (grant, vendor, and partnership contracts).

- Providing HR guidance on employment-related matters such as hiring, offer letters, visas, and terminations.

Type of candidate we are looking for:

- A strategic thinker who is comfortable forming a view with little set precedent.

- A highly organized system builder who is comfortable working in fast-paced, ambiguous environments (e.g. tech companies) and is able to oversee multiple high-stakes deliverables.

- A strong communicator who can distill complex legal issues into clear guidance to non-lawyers.

## Minimum Requirements

- JD from an accredited law school and an active member of the CA bar or are able to qualify as an in-house counsel in CA.

- At least 10 years of experience, including both firm and in-house experience.

- Familiarity with the AI space, including working knowledge of how frontier AI labs operate.

- Experience managing external counsel across a number of domains at a high quality.

- Experience negotiating complex commercial contracts.

## Preferred Qualifications

- Direct experience working with frontier labs or experience working in the AI safety ecosystem.

- Experience working with government or regulators.

Our Culture

METR is a mission-driven organization. We believe our work can meaningfully shape humanity's future for the better, and we want to be the best people in the world doing this work. We have a tight-knit, collaborative research culture rooted in truth-seeking and integrity. We're fiercely committed to producing high-quality, trustworthy science. We're honest and transparent about our results, especially when they may go against the grain. We've earned trust as reliable partners who handle confidential information with care. We maintain a low-ego, drama-free environment focused on what matters.

Hybrid Requirements: Our technical team members are in our office in Berkeley 3-5 days/week. Please let us know in your application if this is a constraint. If you lack US work authorization and would like to work in-person (strongly preferred), we can likely sponsor a cap-exempt H-1B visa for this role.

We encourage you to apply even if your background may not seem like the perfect fit! We would rather review a larger pool of applications than risk missing out on a promising candidate for the position.

We are committed to diversity and equal opportunity in all aspects of our hiring process. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We welcome and encourage all qualified candidates to apply for our open positions.

## About METR

## Company Overview
- **One-liner**: METR (pronounced "meter") is a non-profit research organization that develops scientific methods to assess catastrophic risks from advanced AI systems by evaluating their autonomous capabilities.
- **Entity Type**: Non-profit (funded by donations, not a typical private company; no equity)
- **Headquarters**: Berkeley, California, USA
- **Founded**: Not explicitly stated, but founded by Beth Barnes; likely ~2021–2022
- **Founders**: Beth Barnes (Founder, CEO)

## Core Business
- **Primary industry**: AI safety research and evaluation
- **Target customers**: AI developers (e.g., OpenAI, Anthropic, Google DeepMind, Meta, Amazon), governments, and the broader public
- **Mission or purpose**: "Develop scientific methods to assess catastrophic risks stemming from AI systems’ autonomous capabilities and enable good decision-making about their development."

## Products & Services
- **Frontier AI Capability Evaluations**: Systematic assessments of how autonomously AI systems can perform tasks (e.g., conducting research, developing apps, cyberattacks, self‑hardening). Published as open research.
- **Risk Assessments & Safety Policies**: Advises AI developers and governments on risk assessment methodologies, including the "Responsible Scaling Policies" approach adopted by nine leading AI labs.
- **Time‑Horizon Research**: Open‑source analysis showing that the length of tasks AI agents can complete doubles every ~7 months, a key input for forecasting transformative AI timelines.
- **Evaluation Platform**: An open‑source platform built on Inspect AI for running AI agent evaluations at scale.
- **Monitorability Evaluations**: Research on detecting AI agents attempting to evade monitoring or perform side tasks, including datasets of "reward hacking" and "sandbagging" behaviors.
- **Productivity RCT**: A randomized controlled trial with experienced open‑source developers measuring how much AI tools actually boost productivity (finding systematic overestimation).

## Market Standing
- **Valuation/Market Cap**: Not applicable (non‑profit)
- **Key Metric**: Funding – METR is supported by donations from major foundations and individuals. Notable donors include The Audacious Project (TED), Jane Street, Sijbrandij Foundation, Pew Charitable Trusts, Schmidt Sciences, Packard Foundation, and others. Small part of income from a technical assistance contract with the European AI Office. **No funding from AI companies** (maintains independence).
- **Notable Investors/Partners**: Partners with OpenAI, Anthropic, Google DeepMind, Meta, Amazon (pilot risk assessments); member of NIST AI Safety Institute Consortium, California Cybersecurity Task Force, UK AI Security Institute; technical assistance to European AI Office.
- **Growth Signals**: Growing team (multiple open roles), expanding into cyberforensics and embedded assessments, research cited widely in AI safety policy, and adoption of their Responsible Scaling Policies by major developers.

## Competitive Advantages
- **Independence**: No funding from AI companies, enabling unbiased, transparent research.
- **Scientific Rigor**: Publishes all research openly; uses empirical methods (RCTs, time‑horizon analysis) rather than speculation.
- **Policy Influence**: Their frameworks (e.g., Responsible Scaling Policies) are now industry standards, and they advise governments globally.
- **Deep Technical Expertise**: Team of researchers and engineers building state‑of‑the‑art evaluations for autonomous capabilities, including security‑relevant evaluations.

## Strategic Focus
- **Current priorities**: Developing methodologies to track AI loss‑of‑control risk, improving monitorability evaluations, expanding cyberforensics capabilities, and scaling the team to meet growing demand for independent evaluations.
- **Direction for growth**: Increasing influence on AI governance, deepening partnerships with governments and companies, and building tools for continuous risk assessment.

## Why Work Here
- **Mission‑driven**: Direct contribution to aligning AI development with public safety, working on one of the most critical problems of our time.
- **Compensation**: Highly competitive with top AI labs (salary ranges $328K–$687K for technical staff, $150–$300/hr for contractors), plus benefits like medical/dental/vision, wellness ($1,500/yr), mental health ($6,000/yr), professional development ($5,250/yr), unlimited PTO.
- **Work environment**: Small, fast‑moving, mission‑driven team based in Berkeley. On‑site preferred for technical roles (at least a few days a week), but hybrid and remote (including international) can be accommodated. Operations roles require in‑person.
- **Hiring process**: Unique focus on work tests (1–3 take‑home tasks) and a 1–2 day paid work trial (travel and lodging reimbursed). Interviews are given substantially less weight. Commitment to diversity and equal opportunity.
- **Culture**: Open, transparent, and empirical; values rigor and independence. Visa sponsorship available for technical roles.

## Sources
1. [metr.org](https://metr.org/)
2. [metr.org/about](https://metr.org/about#our-team)
3. [metr.org/careers](https://metr.org/careers)
4. [metr.org/hiring](https://metr.org/hiring)
5. [jobs.lever.co/metr](https://jobs.lever.co/metr)

## Other roles at METR

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- [System Administrator](https://feeny.ai/job/system-administrator-metr-berkeley-87zqbgq2ffsv) — Berkeley, CA
- [Task Development Engineer](https://feeny.ai/job/task-development-engineer-metr-remote-5cbf872b6d7w)
- [Member of Technical Staff, Embedded Assessments](https://feeny.ai/job/member-of-technical-staff-embedded-assessments-metr-berkeley-jsprvy2fdmqy) — Berkeley, CA
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