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Mercor is offering $5 million in grants for independent researchers, academics, PhD students, and small teams conducting frontier AI safety research. Focus areas include misalignment, sandbox escape, evaluation awareness, interpretability, oversight and control, and red-teaming. Funding may support researcher time, API credits, and conference attendance. Applicants should submit a focused expression of interest describing their team, background, research proposal, outputs, impact, timelines, and resource needs.

Own core product journeys from initial flows through polished UI, collaborate with product and engineering, simplify complex experiences, evolve Mercor’s visual language, shape design culture, and improve product tutorials. The role requires strong UX and visual design skills, autonomy, and close attention to implementation constraints, with bonus experience in AI products or marketplaces.

Own recruiting operations for engineering hiring, including scheduling, ATS management, interview-loop coordination, funnel analytics, process improvement, candidate experience, and onboarding logistics. Partner with technical recruiters, hiring managers, interviewers, and leadership to manage requisitions, identify bottlenecks, improve workflows, maintain dashboards, and support high-velocity hiring.

Own Mercor’s data platform infrastructure across Snowflake, Fivetran, Airflow, Astronomer, and Hex. Responsibilities include data organization, role-based access control, row-level security, PII masking, governed migrations, pipeline reliability, on-call support, dashboard governance, warehouse cost optimization, and CDC or streaming ingestion. The role also establishes platform standards and builds internal tooling for a new Data Platform team.

Own complex AI and data projects from customer discussions through delivery, translating needs into execution plans and coordinating large networks of domain experts. Lead and develop project associates, manage customer relationships, analyze performance data, improve quality and efficiency, and identify expansion opportunities. Collaborate with Operations, Engineering, and Machine Learning teams while overseeing projects with substantial revenue and contributor scale.

Execute large-scale projects for AI labs and technology companies, managing expert networks, multimillion-dollar portfolios, delivery quality, operational issues, customer communication, and process improvements. The role requires analytical problem-solving, prioritization, ownership, and comfort with ambiguity while collaborating across operations, engineering, and machine learning teams. Candidates may be recent graduates and will work remotely from Mexico City before transitioning to an in-person model.

Own Mercor’s security GRC and compliance programs, including continuous SOC 2 monitoring, ISO 27001 certification, customer audits, third-party risk, policy lifecycle management, controls-as-code, data-handling procedures, and enterprise security questionnaires. Build the company’s first GRC function, automate evidence collection and questionnaire responses, manage auditor and customer relationships, and support frameworks such as HIPAA, FedRAMP, and EU AI Act conformity.

Lead the technical strategy and development of multimodal data products spanning image, video, audio, documents, processing, review, validation, versioning, and delivery. Design reliable, traceable, cost-efficient distributed systems, remain hands-on with production code, and manage engineering staff through hiring, coaching, delegation, and performance development. Partner with product, ML, operations, and customer teams to build reusable capabilities and operate complex workflows at scale.

As an Infrastructure Engineer, you'll design and maintain cloud infrastructure, build automation workflows, manage CI/CD pipelines, and improve system reliability while collaborating with product and research teams.

Own IT operations reliability, security, and scalability across identity, endpoint, and infrastructure systems. Resolve Tier 2/3 incidents, troubleshoot Apple devices and connected systems, perform root-cause analysis, automate recurring solutions, maintain documentation, manage access and compliance controls, lead operational projects, communicate during incidents, mentor team members, and participate in on-call support.