Jobs at Mercor

• Category creation and point of view: Turn Mercor’s point of view into work technical buyers cite, from research-backed narratives to executive talks.
• Positioning and messaging: Own the core narrative for Mercor’s evals and post-training offerings, including value props by segment, messaging frameworks

• Run company-wide onboarding cohorts end to end, from pre-start logistics and communication through day one, orientation and 30, 60 and 90 day check-ins
• Host and facilitate onboarding sessions that give every new hire a strong, consistent foundation before their function-specific training starts

• Campaign execution: Plan and run integrated campaigns across email, social, web, and events, from the brief through launch and reporting.
• Social: Run Mercor's presence on X and LinkedIn. Track what AI researchers, founders, and VCs are talking about. You are able to turn launches, research, and news into moments that take over the feed.

• Own and continuously develop Mercor's central corporate financial model, including forecasts and upside and downside scenarios, and independently identify opportunities to improve how we model the business.
• Drive company-wide forecasting and budgeting in partnership with Finance, Business Operations, ...

• Run the operating rhythm: Establish and drive planning and review cadences across the product org, and prep leadership meetings end-to-end — agendas, pre-reads, the framing data, and follow-through on decisions.
• Competitive intel

• Develop and investigate research questions related to post-training, RLVR, data quality, and model evaluation.
• Design and run controlled experiments to understand how datasets, rewards, and training strategies affect model performance.

• Own full-cycle recruiting (sourcing → close) across a variety of organizations such as marketing, finance, legal and people ops
• Partner directly with C-Suite Leadership to map out needs and implement continual process improvements

• Own full-cycle recruiting (sourcing → close) across a variety of organizations (such as marketing, finance, people ops, with a prominent focus on operations)
• Partner with b to map out needs and implement continual process improvements

• Own full-cycle recruiting for Mercor's GTM organization: Sales, Partnerships/BD, and Growth with occasional support across Operations and other business functions as priorities shift
• Assess for what GTM roles actually require: quota attainment, deal-cycle ownership, territory/segment fluency, and consultative selling

About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models.

• Design, build, and operate backend services in the Applied AI stack including APIs, data models, background jobs, and the pipelines that connect them.
• Own features end to end: scope the problem, write the design, ship the code, instrument it, and keep it healthy in production.

• Identify, engage, and onboard healthcare and life sciences clients and partners
• Test and iterate on service models tailored to healthcare-sector needs (clinical accuracy, regulatory constraints, data sensitivity)

• Identify, engage, and onboard financial services clients and partners
• Test and iterate on service models tailored to finance-sector needs (compliance, data sensitivity, procurement cycles)

• Own the reusable infrastructure behind robotics data deliveries: the processing, packaging, and delivery systems
• Format and transform datasets to per-client specification: MCAP and other container formats, custom schemas, field mappings, metadata, and versioning

• The time of experts from Mercor's platform
• Researcher hours

• Triage and resolve Tier 2/3 tickets with a focus on automation and improving response and resolution times
• Manage and troubleshoot Apple devices at hyper-scale

• Implement novel post-training methods that improve model reasoning, tool use, and agentic behavior.
• Develop new training recipes for frontier open models.

• Special Projects: Develop and execute strategic initiatives to grow Mercor’s business across labs, enterprises, and app layer companies
• Partnerships: Activate partnerships with RL-as-a-service companies and partners to turn relationships into joint GTM and revenue opportunities.

• Talent platform side – building next-generation tools that automate recruiting end-to-end, intelligently match candidates to roles, and power global hiring with seamless contracts and payments.
• Applied AI/human data side – partnering with top AI researchers from the AI labs like OpenAI, Anthropic, and Google to create post training datasets to improve foundational model capabilities.

• Partner directly with Delivery leadership. Advise leaders on talent, organization design, management, performance and workforce decisions as the organization scales.
• Get close to the accounts. Understand the differences between teams, customers and types of work so that your people recommendations reflect the actual business rather than a generic HR model.