Mercor

Mercor is a leading AI data company building the layer between human expertise and frontier models. We are seeking a foundational hire for our new Data Platform team to own the infrastructure that every data-driven team at Mercor runs on, including Snowflake, Fivetran, Airflow, and Hex. This role is crucial in setting the standards for data organization, access control, cost management, and operational reliability. You will work alongside researchers, operators, and AI companies at the forefront of shaping AI systems.

Mercor is seeking a Security GRC Lead to establish and own the company's compliance posture. As the first GRC hire, you will be responsible for building and managing the operating cadence of a continuously audited company, including SOC 2 monitoring, ISO 27001 implementation, and managing customer audits. This role involves writing controls in code, pushing back on inefficient tools, and producing artifacts crucial for closing enterprise deals. You will leverage AI extensively in GRC tasks, such as drafting and reviewing responses, to improve efficiency and speed.

Mercor is seeking a Tech Lead Manager for their Frontier Data Products team, focusing on multimodal data. This role is a player-coach position, balancing technical contributions with people leadership. You will be responsible for designing and building systems that handle the full lifecycle of multimodal data (image, video, audio, documents, mixed-media), ensuring data quality, traceability, reliability, performance, and cost-effectiveness. The goal is to turn complex multimodal inputs into reliable, customer-ready data products at scale, enabling the team to support new modalities and products efficiently. This is a product-engineering leadership role where success is measured by the quality and usefulness of the delivered products.

Mercor is a leading AI data company building the layer between human expertise and frontier models. We are seeking a Security Engineer, Application Security to 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 will 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. You should be comfortable building alongside AI code-gen tools, using LLMs to accelerate code review and threat modeling, and automating away repetitive work.

As a Software Engineer on Applied AI, you will build, deploy, and operate systems that bridge frontier AI research and data delivery. This is a high-ownership, deeply technical role where you will tackle ill-defined problems, prototype rapidly with researchers and customers, and transition systems from early experiments to reliable, scalable production. You will manage projects end-to-end, including requirements gathering, creating data pipelines, and enhancing model-adjacent infrastructure, while collaborating with frontier AI labs and internal teams to deliver impactful applied AI solutions.

Mercor is seeking a Member of Technical Staff to build the backend systems and agent infrastructure for their talent network. A significant portion of Mercor's operations rely on agents for sourcing, screening, matching, and supporting experts with minimal human intervention. This role involves designing and implementing the services these agents run on, including orchestration, tool interfaces, evaluation, and auditable data models. It's a hands-on engineering position where you will write code, own systems end-to-end, and collaborate with product, operations, and AI researchers to define agent capabilities and human involvement.

Mercor is seeking a Product Engineer for its Talent Experience team to build and scale the systems that evaluate the skills and expertise of top talent for the AI economy. This role involves significant ownership of backend-heavy, full-stack work, including designing evaluation pipelines, developing services for AI-assisted interviews and skill verification, and creating user-facing product surfaces. You will collaborate closely with product leads and other teams to translate AI research into production systems, leveraging modern AI coding tools to accelerate development and maintain high engineering standards. This is a high-leverage position where improvements directly impact Mercor's core operations.

Mercor is seeking a Research Scientist to lead the design of the next generation of APEX benchmarks and the expert-built datasets that support them. APEX benchmarks measure the real-world economic impact of frontier AI models on professional work, with current benchmarks covering areas like investment banking, law, consulting, medicine, accounting, and software engineering. This role is highly visible, sitting at the intersection of research, company strategy, and go-to-market efforts. You will be responsible for identifying future measurement areas, designing benchmarks and scoring systems, collaborating with partners to build them, and working cross-functionally to scale production. You will also serve as a credible external technical voice, engaging with labs, partners, and the research community. This is an opportunity to build new methodologies, tooling, and publishing practices in a fast-paced, ambitious environment.

Mercor is seeking a strong engineer to build scalable agentic products. You will work on a variety of teams focused on automating operational work, developing evaluation systems for RL environments, and building the infrastructure for producing frontier data. This role involves end-to-end ownership of agentic features, from initial scoping and design through implementation, launch, and iteration. You will collaborate with researchers, operators, and AI companies at the forefront of AI advancement, contributing to the development of systems that are redefining society.

As a Software Engineer on the Marketplace team, you will own the core systems that bring human intelligence to AI opportunities. You'll work on search, matching, allocation, and workflow infrastructure at the heart of the marketplace, where systems deliver the world's top experts to staff cutting-edge projects. The problems are technically demanding and tightly coupled to business outcomes: latency, reliability, throughput, and system quality all directly affect marketplace performance. This role sits on a core decision layer of the product, and your work will directly shape how the marketplace operates, including which opportunities get filled, how quickly hiring happens, and how reliably the system scales as volume and complexity increase.

Mercor is seeking passionate individuals for its Research Fellowship, focusing on advancing AI evaluation and understanding its economic impact. This fellowship offers a unique opportunity to develop the next generation of benchmarks, evaluation techniques, and economic analyses of AI. Fellows will work directly with the APEX research team, gain access to real-world enterprise evaluation problems, and contribute to shaping industry standards for AI capability measurement. The program is designed for those with a genuine interest in evaluation as a research discipline and a desire to work in a fast-paced startup environment.

Mercor is seeking a Member of Technical Staff to join their Enterprise Platform team. This role is crucial for building and running complex agents used by enterprise customers and internal Applied AI engineers. You will work across the full stack, focusing on enterprise-grade security, routing, isolated execution, and the intelligence plane that drives improvements. This is a pure platform and infrastructure engineering position, with the opportunity to shape the future of agent platforms in a production environment. You will collaborate closely with Applied AI engineers, owning the platform that bounds the business's offerings.

Mercor is seeking a Product Manager to lead and scale the APEX brand and public leaderboard. APEX assesses the effectiveness of frontier AI models in performing economically valuable work. In this role, you will define the positioning, strategy, roadmap, and operational excellence for Mercor's evaluation products, benchmarks, and leaderboards. You will collaborate with Research, Engineering, Operations, and Go-To-Market teams to transform evaluation datasets into trusted industry benchmarks that influence AI model development and purchasing decisions. You will serve as the product owner for APEX and the evaluation platform, driving innovation, integrity, infrastructure, customer adoption, and business impact. You will engage directly with frontier AI labs and enterprise customers, acting as a thought leader in AI evaluation and measurement, and partnering with Mercor's renowned benchmark research team.

Mercor is seeking a Product Operations Manager, Research Services to drive operational excellence in supporting full-service research partnerships. This role involves prioritizing and managing delivery across various strategic customer segments to support model evaluations, diagnose model capability gaps, and fulfill post-training demand. It's a highly technical, internally-facing position at the intersection of Product, Engineering, Data Production, GTM, Finance, and Strategic Partnerships, crucial for organizing human intelligence to power the AI economy.

As a Research Engineer at Mercor, you will operate at the intersection of engineering and applied AI research. Your primary focus will be on owning benchmarking pipelines, evaluation systems, and failure analysis workflows that directly influence how frontier language models are trained and improved. Your work will be instrumental in defining how we measure tool use, agentic behavior, and real-world reasoning. You will be responsible for designing and executing evaluations, building rubrics and scoring mechanisms, and translating failure analysis findings into actionable improvements for post-training, RLVR, and data pipelines.

Mercor is seeking a Senior Product Engineer to join their Studio Platform team. This role is critical as the Studio platform powers all workflows for generating, managing, quality-reviewing, and delivering data to leading AI labs. The engineer will own the end-to-end user journeys for the React frontend and the backend services that drive data pipelines and customer output delivery. This position requires a strong blend of engineering craft and product impact, focusing on shipping scalable, reliable systems and intuitive interfaces to enhance user efficiency.

Mercor is seeking a Member of Technical Staff for their Enterprise Evals Platform. This role is crucial in ensuring the reliability and economic viability of complex enterprise agent systems. You will be responsible for devising new methods for evaluation and rubrics, building upon Mercor's experience with domain experts and benchmarks. The core of this platform engineering role involves building the verifiers, environments for agent measurement, and scalable grading infrastructure. Your work will abstract across customers, domains, and tasks, ensuring each agent run contributes to the improvement of future agents, rather than starting from scratch.

Mercor is a leading AI data company organizing human intelligence to power the AI economy. We are building the layer between human expertise and frontier models, with millions of domain experts on our platform training AI models. This role focuses on code data, specifically owning the architecture and algorithms for searching across code tasks. The goal is to find similar tasks, route them to the right models, and translate natural language questions into precise retrieval queries. This is a hands-on technical leadership position where you will design and build retrieval systems, manage trade-offs for speed and cost at scale, and continuously evolve these systems as state-of-the-art code models advance. You will also set technical direction, mentor engineers, and raise the bar for engineering practices within the organization.

Mercor is seeking a Full Stack Software Engineer to join their Agent Platform team. This role is central to Mercor's mission of organizing human intelligence to power the AI economy. You will own the end-to-end development of the agent platform, which serves as both an internal workbench and an external storefront for building, running, and showcasing AI agents. This platform is critical for enabling hundreds of internal users and dozens of enterprise clients, requiring a strong focus on both engineering craft and product impact, ensuring scalable, reliable systems and intuitive interfaces.

Mercor is seeking a Product Manager for Trust & Safety to own the fraud detection and enforcement product and policies end-to-end. This role is critical for maintaining the integrity of Mercor's marketplace, where millions of domain experts are paid daily to train AI models. You will be responsible for the multi-agent system that scores risk, the signals that feed it, and the enforcement actions taken. Additionally, you will shape the operational workflows for reviewers, develop governing policies, and ensure feedback loops between production issues and future development. This is a highly technical, customer-facing position for an individual energized by complex, ambiguous problems and a desire to own a product area with significant impact.