Jobs at Mercor

The Strategic Project Lead will drive execution of multi-million-dollar projects, optimize processes, and manage a large team while maintaining client relationships.

Own Mercor’s visual brand identity across campaigns, web, social, events, and internal communications. Translate complex AI, talent, and work concepts into compelling visual systems and create polished assets including landing pages, decks, ads, illustrations, and event collateral. Partner with marketing, product, recruiting, and leadership while developing scalable brand guidelines, templates, and a distinctive visual language.

Build backend services, APIs, and end-to-end features for Mercor's assessment platform. Design evaluation pipelines combining human judgment and AI scoring, work across stack including frontend when needed, and partner with Product, AI, and Data teams to translate research into production.

Lead the design of APEX AI productivity benchmarks and expert-built datasets. Define task taxonomies, grading rubrics, contamination controls, statistical methods, and evaluation standards. Collaborate with academic, industry, engineering, product, data operations, and GTM teams to scale benchmarks, publish findings, and communicate results to technical and commercial audiences. Track LLM evaluation research and translate benchmark insights into company strategy and customer narratives.

Build scalable backend platform systems supporting contracts, payouts, fraud prevention, and just-in-time identity and access provisioning. Translate operational needs into reliable services, improve security and developer experience, and contribute to foundational platform initiatives across teams. The role requires strong ownership, architectural judgment, and the ability to deliver practical systems amid ambiguity.

Build, deploy, and operate applied AI systems connecting frontier research with data delivery. Develop scalable post-training and evaluation pipelines, synthetic data generation systems, data-quality infrastructure, benchmarks, and evaluation frameworks. Partner with AI labs and customers to understand requirements, prototype solutions, lead technical discussions, and deliver reliable production systems.

Design and build backend infrastructure for long-running, stateful workflows involving automated processing, AI model inference, and expert review. Develop orchestration primitives such as retries, recovery, idempotency, and auditable state transitions. Create APIs and tooling for operations, debugging, observability, and reliability. Partner with product, operations, and ML teams to translate ambiguous requirements into scalable, debuggable systems and own services through design, deployment, and continuous improvement.

Build and scale agentic products, LLM agents, harnesses, verifiers, reinforcement learning environments, orchestration pipelines, and full-stack interfaces. Develop Python services and data infrastructure, instrument agent behavior, create evaluations, detect failure modes, and improve reliability, cost, latency, and user experience. Partner with research, product, design, and operations teams to define agent autonomy and human-in-the-loop workflows. The role is fully in-person five days weekly in San Francisco, New York City, or London.

Run end-to-end interview operations for Deeptune: scheduling, candidate experience, Ashby data integrity, on-site and event logistics, reporting, and automations to reduce repetitive work.

Lead evolution of Mercor's brand across external and internal touchpoints. Create high-impact visual assets (web, social, decks, events), build scalable brand systems, and partner with cross-functional teams to translate complex AI and talent concepts into a distinctive visual language.

Design, build, and operate backend systems for candidate-job matching, routing, scoring, and marketplace workflows. Develop high-throughput APIs, data models, real-time and async decisioning, and observability tools to ensure reliable, low-latency marketplace performance and scalable fulfillment.

Own Mercor’s global payments platform, including expert payouts, disbursement rails, ledgers, reconciliation, contracts, earnings, and payment operations. Partner with engineering, finance, compliance, operations, and support to improve payment accuracy, speed, reliability, cost, and retention. Define strategy, write product specifications, investigate failed payouts, build dashboards, conduct user research, and deliver scalable money-movement capabilities across markets, currencies, and regulatory environments.

Drive cross-functional business execution across Delivery, Finance, Product, and GTM. Responsibilities include identifying and resolving revenue blockers, translating forecasts into operational plans, program managing commercially important product work, running business reviews and execution cadences, building dashboards and KPIs, supporting company strategy, and leading special projects. The role requires operating effectively in ambiguity, influencing without formal authority, and partnering closely with leadership.

Seeking an Agentic Finance Engineer to design and automate finance systems, integrating AI, maintaining data integrity, and collaborating with finance leads.

The Administrative Generalist will support daily operations, coordinate events, assist recruiters, and provide HR support while ensuring a well-organized office environment.

As a Recruiting Coordinator, you will manage interview schedules, ensure data integrity in ATS, support candidate experience, and assist in recruiting events. Requires strong organizational skills and communication.

Design, build, and validate new AI benchmarks and evaluation methodologies. Fellows create task specifications and grading rubrics, collaborate with domain experts, run frontier models, analyze failures, test for contamination and gaming, and publish findings through papers, datasets, leaderboards, or internal methodologies. The fellowship provides mentorship, compute, expert labor, and access to enterprise evaluation problems.

Build end-to-end sensor data pipelines that ingest multi-sensor captures (video, depth, inertial, audio), perform segmentation, pre-labeling, automated QC, privacy redaction, encoding and packaging, and deliver validated, versioned datasets at petabyte scale for frontier AI labs.

Partner with Engineering and Product leaders on talent, organizational design, performance, succession, manager coaching, and complex people decisions. Build development and talent programs from 0 to 1, run performance processes, identify workforce patterns, and provide actionable recommendations. Collaborate across Recruiting and People Operations while balancing strategic advising with hands-on execution in a fast-growing startup.

The Engineering Manager will lead a team in Applied AI, focusing on building scalable systems, driving evaluations to improve model performance, and managing engineering talent.