• Serve as the primary day‑to‑day point of contact for client stakeholders on assigned engagements. • Manage client expectations, communication, and delivery cadence, escalating risks and decisions as needed. • Support engagement shaping activities, including contributing to proposals, workplans, and client presentations. • Help translate high‑level client objectives into clear scopes, milestones, and delivery plans. • Build trusted working relationships with client team members across clinical, data, and technology functions. • Lead the end‑to‑end execution of 1–2 AI‑enabled client engagements at a time, ensuring delivery against scope, timeline, and quality expectations. • Manage cross‑functional project teams including data scientists, engineers, clinicians, and analysts. • Coordinate day‑to‑day activities such as sprint planning, backlog prioritization, dependency management, and delivery tracking. • Oversee delivery of AI/ML solutions related to clinical development simulation, leveraging real‑world data (RWD), clinical trial data, and other structured and unstructured sources. • Work closely with technical leads to ensure AI solutions are scientifically sound, technically robust, and client‑ready. • Support development and application of IQVIA’s foundation AI simulation capabilities within client engagements. • Identify risks, issues, and trade‑offs early, and proactively drive resolution. • Contribute to the design and refinement of AI roadmaps, PoCs, ML pipelines, and deployment approaches within projects. • Help operationalize emerging AI capabilities into repeatable delivery patterns and client‑ready solutions. • Collaborate with third‑party technology partners and internal platform teams to support successful delivery. • Provide coaching and guidance to junior team members, supporting their professional development on projects. • Capture delivery learnings and feedback to help inform future offerings and engagement approaches.

• Own our internal, company-wide AI strategy, building a roadmap that balances quick wins with foundational platform investments. • Supervise the architecture of our internal AI platform, guiding our Engineering Enablement and Data Engineering teams to find the right approach for both Engineering and company-wide AI platform capabilities. • Support the creation reference architecture for internal AI capabilities: model access, orchestration/agents, prompt and tool management, evaluation, logging/telemetry, and cost controls. • Partner with engineering and data to ensure AI platform components are built on shared infrastructure rather than point solutions. Identify AI workload dependencies early and bring those requirements into partner roadmaps collaboratively. • Partner with security/IT/engineering/data on access control, data handling, vendor risk, and policy implementation, making sure that employees have a clear, safe path to experiment and move quickly with AI technologies. • Partner with data, analytics, and security to establish shared data classification standards for AI use cases — what data can be used for retrieval or context, and what audit trails are needed when sensitive data flows through LLM pipelines. • Work with engineers and departmental SMEs to automate key business flows with AI across the company: • Identify the highest-leverage internal workflows to automate (e.g., support triage, sales/CS enablement, incident follow-ups, internal knowledge retrieval, finance ops, talent ops). • Lead cross-functional discovery to define success metrics (cycle time, quality, cost, risk) and then deliver end-to-end solutions. • Build lightweight product thinking around internal tools: user research, iteration loops, documentation, and adoption plans. • Establish measurement: evaluation harnesses, human-in-the-loop review where appropriate, and ongoing performance monitoring. • Evangelize and educate our employee base on AI tooling and core concepts. • Create templates, playbooks, and “golden paths” (prompt patterns, agent patterns, safety checklists, skills, evaluation patterns). • Run office hours, internal demos, and community-of-practice sessions that make adoption feel accessible and safe. • Develop and deliver enablement resources/training for different audiences (engineering, GTM, operations, leadership), from fundamentals to advanced workflows. • Build great relationships with leaders around the company, helping to make AI at Honeycomb feel truly company-wide, not just siloed into department-specific tools. • Help teams build good judgment about AI: when to use it, when not to, and how to validate outcomes.

Role Description - Design questions related to your occupation as an Education Teacher, Postsecondary. - Evaluate the depth and accuracy of AI-generated educational content. - Collaborate with AI research teams to enhance training data quality. - Work independently and asynchronously to meet project deadlines. - Ensure access to a desktop or laptop computer (Chromebooks not accepted). Qualifications - 4+ years full-time work experience in Education, Postsecondary. - Based in the US, UK, or Canada. Requirements - Hourly contractor with competitive rates based on background and location. Benefits - Application Process (Takes 20–30 mins to complete): - Upload resume - AI interview based on your resume - Submit form - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description - Design questions related to your occupation as an Education Teacher, Postsecondary. - Evaluate the depth and accuracy of AI-generated educational content. - Collaborate with AI research teams to enhance training data quality. - Work independently and asynchronously to meet project deadlines. - Ensure access to a desktop or laptop computer (Chromebooks not accepted). Qualifications - 4+ years full-time work experience in Education, Postsecondary. - Based in the US, UK, or Canada. Requirements - Hourly contractor with competitive rates based on background and location. Benefits - Compensation: $60–$105/hour. - Commitment: 15+ hours/week. - Duration: Through mid 2026. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com .