• Develop user scenarios and user flows based on Product Manager directives • Create high-fidelity wireframes, mockups, and prototypes using Figma, adhering to our design system • Specify visual details; document design decisions clearly in Azure DevOps (ADO) so developers can implement them precisely • Collaborate closely with developers to define the scope of proposed changes and understand technical constraints • Adapt solutions to ensure feasibility and technical excellence • Work with testing teams to identify visual defects and propose solutions • Contribute to continuous improvement of the design system; extend, refine, and document new components as they evolve • Analyze improvements proposed by the team and evaluate their relevance against the overall design strategy • Support the sales team by creating visual concepts to demonstrate the feasibility of ideas to potential clients • Occasionally participate in internal presentations or feedback sessions with Product Managers and team leaders • Contribute to strategic design decisions for the team's products

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Product Design/UX Expert Type: Contract Compensation: $50–$125/hour Location: Remote Duration: 3–4 weeks Commitment: 15+ hours/week Role Responsibilities - Evaluate product design decisions using professional experience to enhance design and taste preferences. - Develop product mockups using Figma, Sketch, or Adobe tools. - Provide structured User Experience/User Journey feedback to improve product usability. - Collaborate with AI research teams to ensure design consistency and relevance. - Work independently and asynchronously to meet project deadlines. Qualifications - 3+ years of experience at a prestigious tech firm. - Experience with Figma, Sketch, or Adobe. - Based in the US, UK, or Canada. 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 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

• Build and ship approximately 50 production-ready voice AI agents from an existing inventory of prioritized use cases. • Translate complex health plan and verticalized business workflows into safe, effective, highly conversational agent scripts. • Define the clinical guardrails, edge cases, and escalation paths for each agent. • Write and refine dialogue flows, including intent recognition, empathetic response patterns, and multi-turn conversation logic. • Work closely with Engineering on prompt design, tool calling, and integration with standard healthcare data formats. • Rigorously test each agent through internal QA before handoff. • Document agent logic, guardrails, and known limitations so the internal team has what they need to monitor, maintain, and improve agents after the contract ends.

• Partner with business leads, subject matter experts, and other internal stakeholders to analyze training needs, determine learning objectives, and select the most appropriate structure, format, and strategy for delivery. • Design and develop scalable learning across multiple formats (e.g., live virtual sessions, on-demand modules, microlearning, videos, gamified experiences, interactive multimedia) that align with practice and company goals. • Apply instructional design methodologies, curriculum mapping, and adult learning science principles to create cohesive learning paths that meet diverse learner personas and minimize redundancy. • Define clear success metrics for engagement, impact, and effectiveness, and develop valid, relevant assessments that align to the learning approach and intended outcomes • Lead projects independently, managing timelines, dependencies, and risks while following team standards and advocating for high-quality deliverables.