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About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. You'll own application security at a company where the app layer is the highest-priority security surface. This is not a scan-and-triage role. You'll embed in the development lifecycle, review code for exploitable flaws, build security tooling into CI/CD, and drive vulnerability remediation across a platform serving 300K+ experts and enterprise clients processing sensitive AI training data. We use AI heavily in our own security work. You should be comfortable building alongside AI code-gen tools, using LLMs to accelerate code review and threat modeling, and automating away the repetitive work that slows AppSec programs down. If you'd rather write a CodeQL query than file a Jira ticket, you'll fit in here. We're in-person five days a week at our SF headquarters, with first Fridays remote. What You'll Build: Security review workflows embedded in the SDLC - PR-level analysis that catches auth bugs, injection flaws, and business logic errors before they ship SAST/DAST pipelines integrated into CI/CD - shifting security left without slowing down deploys Vulnerability management processes that prioritize by real exploitability, not CVSS score Secure coding standards and guardrails that make the safe path the easy path for 50+ engineers Threat models for new features and architecture changes - especially around AI data pipelines, payment flows, and multi-tenant boundaries Bug bounty program operations - triaging HackerOne reports, validating findings, and driving fixes to closure What We're Looking For You've found and fixed real vulnerabilities in production applications - not just run scanners Deep understanding of web application security: OWASP Top 10 is baseline, you think in terms of attack chains and business logic flaws Strong in at least one of Python, TypeScript, or Go - you can read a PR and spot the auth bypass Experience building or tuning SAST/DAST tooling (Semgrep, CodeQL, Snyk, Burp, or similar) You understand modern web frameworks, APIs, and authentication patterns well enough to threat model them Experience managing a vulnerability pipeline - from discovery through prioritization to verified remediation 5+ years of professional experience in application security, security engineering, or software engineering with a strong security focus Bonus Points Experience running or triaging a bug bounty program (HackerOne, Bugcrowd) Offensive security skills - you've done penetration testing and can think like an attacker Experience securing AI/ML applications - model serving APIs, training data pipelines, prompt injection defense Familiarity with supply chain security - dependency scanning, registry firewalls (Socket, Snyk) You've built custom security tooling that a team still uses Contributions to open source security projects or published vulnerability research Why Mercor The problem is real. Application security at scale is hard - you'll build defenses that matter across a fast-moving platform. AI-native AppSec. You'll use frontier AI tools daily - for code review, vulnerability analysis, and anything that benefits from an AI co-pilot. Ownership from day one. You'll own the entire application security domain - from code review processes to CI/CD security to bug bounty operations. See the future early. Working alongside AI labs means you'll understand frontier model capabilities months before the market. Benefits Bi-annual performance bonus structure Generous equity grant vested over 4 years Up to $15k Relocation bonus $10K housing bonus (if you live within 0.5 miles of our office) $1.5K monthly stipend for meals Free Equinox membership $200 monthly laundry reimbursement $200 monthly personal wellness reimbursement Health, Dental, Vision insurance

About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. The Role We're looking for a Cloud Platform Engineer to own the internal IT infrastructure Mercor runs on — and to run it as code. You'll design and operate the platform layer beneath our identity, cloud, and SaaS systems: Okta configuration managed in Terraform, cloud IAM and account structure defined declaratively, and employee lifecycle provisioning automated end to end. You'll also own identity planning as we scale from hundreds to thousands of employees. This role reports directly to the Head of IT and is critical to our operational foundation. What You'll Do Own Mercor's identity infrastructure — Okta configuration and provisioning — managed as code in Terraform rather than clicked through a console Design and implement SCIM integrations across our SaaS stack, automating user provisioning and deprovisioning Own identity planning and architecture as we scale: access models, group strategy, and how entitlements evolve from hundreds to thousands of employees Own cloud account structure, IAM roles, and permission boundaries across AWS, GCP, Azure, and Vercel, keeping access least-privilege as the org grows Build and maintain Terraform for internal platforms so environments are reproducible and every change is reviewable Build automation that cuts manual ticket volume for employee onboarding and offboarding Design and own secrets management, key rotation, and service-account lifecycle Troubleshoot identity and infrastructure issues, trace root causes, and implement systemic fixes Document platform architecture, runbooks, and automation so the team can operate and extend it Mentor future IT team members on infrastructure-as-code, automation practices, and systems thinking Help establish sustainable escalation procedures as the team grows You may be a good fit if you have: Hands-on production experience with Terraform, managing real infrastructure as code Production experience with Okta and SCIM integrations — ideally managed declaratively Strong skills with IAM roles and permissions across at least two major cloud platforms — AWS, GCP, or Azure — with Vercel a plus Proficiency in at least one programming language with demonstrated understanding of core coding principles Experience building automated workflows across systems via APIs Strong incident management skills: triage, root-cause analysis, and systems thinking Strong documentation skills — able to write technical guides other team members can follow and learn from Clear communication skills — able to explain technical identity and infrastructure concepts to non-technical stakeholders A systems-thinking mindset that naturally traces dependencies and considers second-order effects Location and Commitment San Francisco, CA. Full-time, five days a week in office. This role participates in an on-call rotation for weekend emergencies.

About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. About the Role As a Software Engineer on Applied AI , you’ll build, deploy, and operate systems that sit directly between frontier AI research and data delivery. This is a high-ownership, deeply technical role. You’ll work through ill-defined problems, prototype quickly with researchers and customers, and take systems from early experiments to reliable, scalable production. You’ll own projects end-to-end: spanning requirements gathering, creating data creation pipelines, and improving model-adjacent infrastructure, while partnering closely with frontier AI labs and Mercor’s internal teams to ship high-impact applied AI solutions. What You’ll Do Partner closely with frontier AI labs to understand their data, post-training, and evaluation needs Build and operate scalable data pipelines for post-training workflows and model evaluations Design and build scalable systems for synthetic data generation and data quality, and work directly with customers to understand requirements and develop technical solutions Prototype new data types, benchmarks, and evaluation frameworks Lead technical discussions with customers What Makes This Role Different Direct frontier exposure. You’ll work closely with researchers at leading AI labs, building infrastructure that directly accelerates cutting-edge research. Coding + customer work. This role blends deep technical execution with customer interaction. Engineers who enjoy both building and communicating tend to thrive. Day-to-Day Fast-moving, high-ownership environment Technically demanding, collaborative work “Building the plane while flying it” In-person culture at our new New York office at One World Trade Center Aligned with frontier research timelines What We’re Looking For Strong backend engineering fundamentals in a modern language (Python, Go, Rust, etc.) Experience with model training and inference Strong grounding in statistical analysis and experimental design for measuring model performance and improvements Familiarity with evaluation methods for large language models Comfort working through ambiguity and shipping iteratively You’re likely someone who Enjoys ownership and customer-facing problem solving Thinks entrepreneurially and moves quickly Balances speed with engineering rigor Communicates clearly with technical and non-technical users Why Engineers Join Direct exposure to frontier AI research Real ownership and visible impact Technical depth paired with human interaction Fast feedback loops and high leverage There are very few roles that combine this level of technical rigor, customer proximity, and research exposure. Benefits Bi-annual performance bonus structure Generous equity grant vested over 4 years Up to $15k Relocation bonus $10K proximity bonus (if you live within 0.5 miles of our office) $1.5K monthly stipend for meals Free Equinox membership $200 monthly laundry reimbursement $200 monthly personal wellness reimbursement Health, Dental, Vision insurance

About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. About Mercor Mercor is defining the future of work. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in person five days a week at our new New York Office at One World Trade Center. About the Role As a Backend Engineer at Mercor, you will build core platform systems that make our operations secure, reliable, and scalable. This role focuses on two critical areas: Contracts and Identity & Access. Contracts: Build the backend infrastructure that enables flexible ways for our network of Experts to perform work and get paid. This work expands our product capabilities and supports the development of higher-quality foundational models. Identity & Access: Design and maintain systems that provision and deprovision access just-in-time, ensuring Experts can securely perform a wide range of tasks across the platform. You’ll work on foundational systems that sit at the heart of Mercor’s platform, requiring strong ownership, sound architectural judgment, and a focus on security and reliability. This role is a strong fit for a generalist backend engineer who enjoys building core systems end-to-end. Experience with identity systems or enterprise access management is a strong plus. You will: Develop robust infrastructure for platform operations, including systems that support complex contract-related workflows, payouts, fraud, and more. Work closely with engineering leads and cross-functional partners to translate operational needs into reliable, scalable backend services. Improve security, reliability, and developer ergonomics across the systems that underpin Mercor's platform. Contribute to a fast-moving engineering organization where strong backend engineers may flex across teams and high-priority platform initiatives. What We're Looking For 2+ years experience building building production systems at scale. Experience with identity, access control, or enterprise access management systems is a strong plus. Ability to work across ambiguous requirements and deliver practical, reliable systems quickly. High ownership mindset and willingness to work on foundational problems that support many parts of the business. Why Mercor Impact: Your work will strengthen the core systems that power Mercor's platform and enable secure, scalable operations. Breadth: You'll work on foundational backend problems with exposure to identity, security, internal tooling, and platform infrastructure. Growth: You'll join a fast-moving team with significant ownership and room to expand into increasingly critical technical challenges. Benefits Bi-annual performance bonus structure Generous equity grant vested over 4 years Up to $15k Relocation bonus $10K housing bonus (if you live within 0.5 miles of our office) $1.5K monthly stipend for meals Free Equinox membership $200 monthly laundry reimbursement $200 monthly personal wellness reimbursement Health, Dental, Vision insurance