Staff+ Software Engineer, Safeguards Human Review Tooling

Anthropic; New York (NY); Hybrid; USD 320,000 - 485,000; Full time

Benefits offered by this job

Equity donation matching

Generous vacation

Parental leave

Flexible hours

Office space in San Francisco

Job summary

Anthropic in San Francisco is seeking engineers for the Review Tooling team to build internal tools used to investigate harms and enforce policies across platforms. You’ll own the tooling and platform underneath, including data analysis, privacy-preserving primitives, and a sandbox for new interfaces.

You will partner with policy, operations, data science, legal and privacy teams to ensure enforcement systems are effective, accurate, and trustworthy.

Qualifications

• Bachelor’s degree or equivalent education
• Experience in full‑stack or platform engineering architecture discussions
• Experience shipping internal tools used by operational users
• Experience with cross‑functional partners (policy, legal, operations)
• Strong communication and ability to explain tradeoffs to non‑technical stakeholders
• Concern for societal impacts of AI and safety

Responsibilities

• Build investigation, review, and enforcement tooling for multiple platform surfaces
• Develop the platform layer of reusable APIs, storage and backend services
• Deploy tooling across clouds with consistent pipelines, tests, observability
• Scale review through automation and Claude‑driven workflows
• Collaborate with policy, operations, legal, privacy and data science to reduce handling time
• Instrument tooling with metrics on queue health and decision quality

Skills

Full-stack engineering

Internal tools

Cross-functional collaboration

Communication skills

AI safety & ethics

Education

Bachelor's degree or equivalent

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We’re looking for engineers for our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic’s first‑party products and third‑party cloud platforms.

You’ll own the tools our safety investigators rely on to understand what’s happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes data analysis capabilities, privacy‑preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly.

These are internal tools, but they are anything but low‑stakes: the speed, clarity, and reliability of this tooling directly determines how quickly Anthropic can identify harmful behavior, make sound enforcement decisions, and feed signals back into model training and safety classifiers. You’ll partner closely with policy, operations, data science, legal, and privacy teams to ensure our enforcement systems are effective, accurate, and trustworthy.

Key responsibilities

• Build investigation, review, and enforcement tooling for both first‑party and third‑party platform surfaces — including case queues, investigation views, decision and audit logging, and account‑actioning workflows
• Develop the platform layer of reusable APIs, data storage, and backend services that lets new review workflows be stood up quickly and safely
• Stand up and run deployments of this tooling across multiple clouds, including inside cloud‑provider partner environments where data must stay in place. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting
• Scale review through automation, including enabling reviewers to use Claude effectively and building toward Claude‑assisted and Claude‑driven review workflows
• Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well‑designed systems that measurably reduce handling time and decision error
• Instrument the tools you ship — surfacing metrics on queue health, reviewer throughput, and decision quality — and ensure tooling evolves alongside new privacy primitives and data retention commitments

Minimum qualifications

• A technical background in full‑stack or platform engineering, with the ability to engage deeply in architecture and design discussions
• Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably
• Experience working cross‑functionally with non‑engineering partners such as operations, policy, or legal teams
• Excellent communication skills, including the ability to explain technical tradeoffs to non‑technical stakeholders
• Care about the societal impacts of AI and want your work to make powerful systems safer

Preferred qualifications

• 8+ years of industry software engineering experience
• Experience building data labeling, trust and safety, integrity, fraud, or abuse‑prevention tooling, or other systems supporting human review at scale
• Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency
• Have worked across multiple cloud providers, or built infrastructure designed to be provider‑agnostic
• A product‑minded approach to internal users: you work directly with the people using your tools, watch where they struggle, and fix it

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: $320,000 — $485,000 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.

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.

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.