San Francisco, CA
AI-powered staffing platform matching experts to AI labs
Mercor connects top AI professionals and domain experts with leading AI labs and enterprises for training frontier models, RLHF data, and AI agent development. It powers critical human expertise needs in AI research and deployment. The platform manages contingent workforce solutions including matching, payments, and fraud prevention.
Build and own Mercor’s agent platform across React interfaces and backend services, enabling internal users and enterprise clients. The role requires 2+ years of full-stack experience, strong JavaScript/TypeScript and React expertise, backend development skills, and a product-focused approach to usability and reliability.
Own financial planning, forecasting, modeling, and product-line P&Ls while partnering with GMs, product leaders, and executives on resource allocation and strategy. The role requires 5+ years of relevant finance, investment banking, consulting, or high-growth technology experience.
Owns Mercor’s Trust and Safety product, including fraud detection, risk signals, enforcement, and operations tooling. The role requires 5+ years in product or a related technical risk function, strong data and AI fluency, and the judgment to balance false positives against missed fraud.
Leads quality programs for human data projects by developing automated technical solutions, managing auditor teams, and delivering quality insights to customers. Requires 3+ years experience in technical operations, project management, and data-driven problem-solving in fast-paced environments.
Own end-to-end data operations projects that support frontier AI training, managing contributor teams, delivery targets, quality, timelines, and client needs. The role requires at least two years in an operationally intense environment, strong analytical and communication skills, and comfort working amid ambiguity.
Build scalable backend and infrastructure systems for reinforcement-learning environments that train AI agents, partnering with researchers and leading AI labs. The role requires strong engineering judgment, hands-on leadership, and experience with ML/LLM concepts and scalable systems.
Own recruiting operations for Deeptune, including interview scheduling, Ashby data integrity, candidate experience, onsites, reporting, and process automation. The role requires 3+ years of recruiting or operations experience, strong attention to detail, AI fluency, and a high-ownership mindset.
Own full-cycle recruiting for Deeptune and other Mercor organizations, building scalable hiring systems, sourcing pipelines, interview processes, and recruiting analytics. The role requires strong operational judgment, communication, and experience hiring across business and technical functions.
Build and operate the systems that improve expert support, feedback collection, tooling, reporting, and experimentation. The role requires at least three years of relevant operational experience, SQL fluency, strong systems thinking, and the ability to coordinate distributed teams.
Builds backend systems for marketplace matching, search, allocation, and workflows using Python/Go. Requires experience with reliable high-throughput APIs, distributed systems, and data modeling to optimize fill rates and performance.
Build Mercor’s foundational go-to-market engineering infrastructure, including revenue data systems, integrations, dashboards, and AI-powered automations. The role requires 6+ years of technical experience, strong SQL and Python skills, and deep familiarity with GTM operations.
The Talent Intelligence & Analytics Manager analyzes AI talent markets, recruiting-funnel performance, and compensation trends to guide hiring strategy. The role requires 5+ years in people or recruiting analytics, strong SQL and data-modeling skills, dashboard development experience, and confident communication with recruiting and executive leadership.
Leads Mercor’s visual brand identity across campaigns, web, social, events, and marketing surfaces, translating complex AI and talent concepts into compelling design systems. Requires 4+ years of brand, visual, or graphic design experience and a strong portfolio.
Owns full-cycle recruiting for Mercor’s revenue-driving GTM teams, building the recruiting playbook and hiring systems from the ground up. The role requires GTM recruiting expertise, strong talent assessment and sourcing skills, and close partnership with revenue leadership.
Own full-cycle recruiting with a focus on Operations roles at a fast-growing AI data company. Build and scale hiring systems, partner with GMs on talent needs, drive metrics and process improvements, and represent the brand to top technical and operational candidates.
Build and own high-scale sensor data pipelines that ingest, process, QC, and deliver multi-modal physical-world data (video, depth, inertial, audio) to train frontier robotics and physical AI models. Requires strong production data engineering experience with video/sensor data at petabyte scale.
Lead strategic sourcing, vendor negotiations, and commercial agreements for software, AI, cloud, and infrastructure vendors. Partner with Engineering, Product, Finance, and Legal teams to enable rapid scaling in a high-growth AI company. Requires 7+ years in procurement and experience with $1M+ technology deals.
Strategic Project Lead responsible for executing multi-million-dollar human data projects for enterprise AI clients. Drive end-to-end data pipelines, manage 1,000+ contributors, build client relationships with technical leaders, and ensure operational excellence under tight timelines in a high-intensity startup environment.
Member of Technical Staff owning shared backend architecture, core services, data models, APIs and infrastructure for Mercor's talent network products. Requires 8+ years backend engineering experience with deep expertise in distributed systems and a track record of organization-wide technical leadership.
Own Mercor's LLM gateway as Platform Product Manager, setting roadmap and policies for routing, priority queuing, rate limits, cost attribution, and model access that impact all product surfaces. Requires 5+ years PM experience on platform/infra products, strong systems thinking on tradeoffs, technical fluency, and cost/metrics orientation.
Own end-to-end development and launch of Mercor's first mobile app, serving as the primary surface for domain experts to apply for jobs, track contracts, and complete AI training assessments. Requires 5+ years PM experience with proven mobile 0-to-1 launches, technical fluency, and high ownership in an ambiguous, fast-paced environment.
Deployment Strategist at Mercor scopes complex AI data projects for leading AI labs, drives account growth, leads customer implementations and integrations, and translates customer needs into product improvements. Requires 2+ years in technical customer-facing roles, fluency in SQL/Python, strong ownership and systems thinking.
Build and ship high-fidelity RL environments, verifiers, and evaluation pipelines from enterprise workflow data to train and assess frontier AI models. Requires prior experience shipping environments or agentic evals plus strong full-stack engineering skills with a bias for action and detail.
Lead end-to-end marketing for Mercor's Evals business unit, owning positioning, integrated campaigns across paid/email/social/organic, and performance optimization to drive pipeline and revenue for AI evaluation products. Requires 5-8+ years B2B marketing experience at hypergrowth Series B/C companies, exceptional writing, and fluency with AI tools.
Own end-to-end multi-million-dollar code data programs for frontier AI labs. Decompose model weaknesses, design human/synthetic/hybrid data pipelines, manage expert teams, and serve as the trusted technical partner to researchers. Requires strong coding literacy, ML familiarity, and operational ownership to deliver high-quality data under tight timelines.
Lead a forward-deployed engineering team to deliver production AI systems and agentic workflows for enterprise customers. Partner closely with Sales/GTM and customers on technical delivery, while hiring, mentoring engineers, and driving commercial impact through scalable AI deployments.
Build and ship high-quality native iOS applications using Swift and SwiftUI for Mercor's platform serving tens of thousands of AI experts. Own features end-to-end, collaborate with cross-functional teams, and leverage AI coding tools in a fast-paced onsite environment.
Lead architecture and development of Mercor's native Android app using Kotlin and Jetpack Compose. Own end-to-end product initiatives, define engineering standards, mentor engineers, and leverage AI coding tools while collaborating with cross-functional teams.
Build backend services, evaluation pipelines, and full-stack features for Mercor's AI-powered talent assessment platform that vets and matches experts for frontier AI labs. Requires 3+ years production software engineering experience with strong backend fundamentals and product intuition; LLM experience is a plus.
Product Operations Manager at Mercor scopes complex AI data annotation projects with customers and GTM, builds scalable annotation workflows and templates, leads enterprise implementations and integrations, and translates customer needs into product requirements and roadmap items. Requires 2+ years in technical customer-facing roles, SQL fluency, strong ownership in ambiguous settings, and systems thinking.
Build Mercor's healthcare data partnerships by running high-volume outbound prospecting (calls, emails, LinkedIn), booking meetings, supporting deal coordination and data licensing agreements with health systems, payers, and EHR vendors. Requires 2-4 years outbound sales/BD experience and interest in healthcare data compliance (HIPAA, FHIR).
Build and own Mercor's intake-to-PO procurement infrastructure from the ground up, re-architecting processes with AI and automation while partnering cross-functionally with Finance, Legal, Security, and Engineering. Requires 4-8 years building procurement systems at high-growth tech companies, deep P2P tooling expertise, and comfort evaluating AI output.
Own Mercor's events end-to-end: set strategy for GTM, recruiting, and internal events; plan and execute high-signal conferences, dinners, and programs; drive measurable outcomes in relationships, pipeline, and talent. Requires 6-8 years events experience with strong execution, stakeholder management, and polished presence for executive/AI audiences.
Build and own backend-heavy full-stack systems for Mercor's assessment platform, designing evaluation pipelines that combine human judgment with AI-powered scoring for vetting top AI talent. Requires 3+ years professional software engineering experience with strong backend fundamentals and comfort across the stack.
Own and define the shared backend architecture, core services, data models, and APIs that power Mercor's rapidly scaling talent network and AI training products. Requires 8+ years backend engineering experience with a track record of organization-wide architectural ownership and complex migrations.
Lead the build-out of centralized Operations Planning for Mercor's Human Data business. Own demand forecasting, staffing models, pipeline integrity, and cross-functional reporting to provide leadership with a single source of truth on production plans and revenue.
Partner directly with the GM of Growth at Mercor to drive strategy, OKRs, cross-functional initiatives, and execution across product, growth, operations, and hiring. Requires 4+ years in operations, strategy, or consulting (ideally Chief of Staff experience) in a fast-paced, ambiguous environment.
Project Manager on Mercor's Data team responsible for end-to-end ownership of data initiatives from scoping through delivery. Requires 3-5+ years PM experience, strong leadership and stakeholder skills, and passion for data-driven projects in a cross-functional environment.
Own commercial account strategy and customer relationships for Mercor's AI human data staffing business. Partner with application-layer companies, research labs, and enterprises to drive staffing outcomes, manage delivery, lead commercial processes, and scale revenue to eight figures.
Build and scale Mercor's novel identity and access management infrastructure across thousands of Slack workspaces and HR systems for a 100k+ expert network. Requires strong product engineering, large-scale distributed systems experience, and security-minded design instincts.
Design rigorous assessments and certification frameworks to measure expert skills for AI training projects. Conduct learning analytics, item-level analysis, validity studies, and mixed-methods research to link assessments to real-world performance and drive program improvements.
Economist designing pricing, incentives, allocation rules, and running causal experiments for a two-sided AI talent marketplace. Requires advanced economics degree, strong causal inference and market design skills, and proficiency in SQL/Python/R.
Build and optimize ML models for candidate-job matching, ranking, recommendations, and marketplace allocation at Mercor. Requires production ML experience with ranking/recommendation systems and strong applied ML skills across the full stack.
Product Manager responsible for owning end-to-end product lifecycles to transform human expertise into better AI models. Requires 2+ years PM experience, technical fluency, high ownership in ambiguous environments, and balancing user research with business metrics and strategic vision.
Design instructional infrastructure and training programs for internal teams and talent experts executing AI data annotation and evaluation tasks. Requires 2+ years in learning/instructional design with strong writing and pedagogical skills.
Lead engineering for fraud detection, identity verification, and compliance systems at a Series C AI infrastructure company. Build AI-powered risk and decision systems while managing a high-performing backend team.
Drive execution across Delivery, Finance, Product, and GTM by unblocking revenue, operationalizing plans, and running company cadences. Requires 1-4 years in consulting, ops, or finance plus top-school degree and data fluency.
Business Development Representative responsible for high-volume outbound prospecting to secure enterprise data partnerships. Requires 3+ years of outbound sales experience and consistent quota achievement.
As a Growth Associate, you will connect AI companies with specialized experts, driving revenue and shaping the future of AI. This role involves sourcing, recruiting, and building relationships with professionals across various industries.
As a Fullstack Software Engineer on the Applied AI team, you will own the Studio platform end-to-end, building and maintaining React frontends and backend services. You will lead engineering best practices and ship high-leverage product features to improve data generation and delivery pipelines.