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As a Research Engineer, you'll enhance AI models through post-training and evaluation pipelines, focusing on data quality and performance metrics.

The Enterprise AI Associate will engage with customers, support AI solution deployment, and translate feedback into structured plans while collaborating with engineering teams and refining marketing strategies.

The Recruiter at Mercor will handle full-cycle hiring for critical roles, focusing on operations and collaborating with General Managers to improve hiring systems and attract top talent.

The Executive Assistant will support senior leaders by managing their calendars, arranging travel, coordinating events, drafting correspondence, and providing on-site support in the San Francisco office.

Design, build, and operate identity and access infrastructure at massive scale. Work directly with operations to translate requirements into secure, distributed systems covering authentication, authorization, provisioning, and directory synchronization across thousands of Slack workspaces and HR systems. Own features end-to-end and iterate on design with security-first thinking.

The role involves building and scaling Mercor's payments platform, focusing on observability, reliability, automation, and addressing payment infrastructure challenges as the payment volume grows significantly.

Scope and size complex AI data projects during pre-sales, drive account growth with strategic customers, lead implementations and integrations, improve delivery reliability, and translate recurring customer needs into product requirements.

Own Mercor's first mobile app from concept to launch and iteration. Define roadmap for experts to apply, track contracts, and submit assessments on mobile. Manage end-to-end lifecycle including specs/PRDs, release management, app store operations, analytics and instrumentation, post-launch growth, and user research. Align product decisions to business outcomes and build scrappy MVPs or dashboards to validate direction.

Own major product areas to convert human expertise into training data and tooling for AI. Conduct user research, write specs, build dashboards/MVPs, partner with engineering/research/ops/design, and drive product strategy from conception to execution.

Build and deploy ranking, matching, recommendation, and allocation ML systems for a global talent marketplace. Work across retrieval, scoring, inference (real-time and batch), feedback loops, and experimentation to optimize long-term hiring outcomes under marketplace constraints.