You'll need the technical depth to work out with researchers and engineers what access, tooling, and evidence an evaluation requires, and the judgment to resolve most questions quickly and escalate the few that need it, while balancing evaluators' need for access with Anthropic's requirements to protect its customers, its security, and its confidential information. We're looking for a generalist who can ship quickly and iteratively, and who earns trust on both sides.
Key responsibilities
Own the external evaluator program end to end, including our relationships with evaluator organizations and the pipeline of future partners
Take each evaluator from first conversation through scoping, contracting, onboarding, access, and review to a published report
Define the stages and tiers of working with evaluators, and develop information access policies that meet evaluators' needs while protecting security and confidential information
Drive evaluators' access and information requests to fast, well-documented decisions in partnership with Research, Security, Legal, and IT
Drive the technical design of evaluator access with Security, IT, and infrastructure teams, including permissions, environments, and monitoring, and close gaps between policy and technical controls without slowing evaluators down
Run the review process for evaluator reports against agreed timelines and redaction criteria, while protecting evaluators' ability to publish their own conclusions
Scope evaluations with researchers and engineers, turning evaluators' questions about training, monitoring, and alignment into concrete requirements for model access, data, tooling, and compute, and planning capacity for each new evaluator
Turn evaluators' technical findings into research and engineering work with owners and dates, and drive accountability for how Anthropic responds
Keep the company informed with regular updates on how the program is going, and clear guidance on how to work with evaluators
Collect feedback from evaluators and internal teams, run retrospectives, and iterate on policies and practices
Use Claude and work with engineering teams to build the tooling the program runs on, such as access provisioning, request tracking, and report review
Support a thriving ecosystem of evaluators by sharing what we learn about running independent evaluation well
Minimum qualifications
Experience leading complex technical programs with engineering or research teams, from ambiguous goals through delivery
Experience managing relationships with external organizations, including scoping work, navigating contracting, setting expectations, and resolving disagreements
Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent workstreams
Technical fluency in how frontier AI models are trained, evaluated, and monitored, sufficient to define technical requirements, identify technical risks, and challenge tradeoffs with researchers and engineers
Sound judgment and discretion with confidential and sensitive information
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$290,000—$365,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
