Role Description - Author non-trivial coding tasks with golden solutions and automated verifiers. - Design rubrics and grade agent trajectories and model outputs. - Improve task and rubric quality through structured review. - Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs. - Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications - Must-Have: 5+ years of software engineering at a real product organization (big tech or venture-backed startup). - Strong code quality, systems design, debugging, and testing discipline. - Clear written communication (you write instructions others follow). - Preferred: Familiarity with AI coding tools and evals. Requirements - Short Mercor Technical Screen. - Live Code Review Session. - Domain Expert Interview. - You're paid $200 for completing all three, regardless of outcome. Benefits - Compensation: $35–$120/hour. - Location: Remote. - Commitment: 30+ hours/week. 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: Mercor Resources . - 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 We are looking for energetic, enthusiastic, and flexible leaders to help facilitate the Staff Ride in Thailand, which will take place from November 9-13 (4 days, 4 nights). As part of the team, you will need to be available starting on November 4th. Work will consist of two prep days plus four days of trip leading. The Staff Ride Team will work closely during the event with Jason Stawiski (SR Specialist) and Sam Jenkins (SR Coordinator) to help oversee: - luggage delivery/coordination/facilitation - bike staging set up and break down (bike stands, snacks, water, music, FUN!) - route support/rest stops - lunch/dinner/happy hour facilitation - helping with whatever other task is needed! Qualifications - Minimum 2 years trip leading experience is required - High performer (25% tile or above), ideally holding a Field Expert role - Ideally have experience trip leading in Asia - Ideally has attended a Staff Ride before Benefits - You will receive your trip leading pay rate for 2 prep days and 4 trip leading days - $2,000 USD (€1,840/$2,760 CAD) Staff Ride Bonus to be paid via payroll - The SR Team will receive a few swag items that make the Crew more visible and look fabulous! Company Description

• Own and evolve the architecture of our core platform: React frontend, Node.js/Express APIs, Postgres, and AWS ECS infrastructure • Drive our JavaScript → TypeScript migration, establishing patterns, tooling, and standards the team can follow • Design and extend our ETL pipeline and config-driven AI integration framework, enabling engineers to ship AI-powered features faster and more reliably • Lead technical design reviews, create architecture decision records (ADRs), and ensure engineering decisions are documented and defensible • Identify and resolve systemic technical debt — not just flagging it, but owning the plan to address it • Define and execute the technical strategy for integrating ML/AI models into our core platform, ensuring scalability, performance, and reliability. • Mentor engineers across all levels — pair, review, coach, and grow the team's collective capability • Establish and maintain engineering standards: code quality, testing practices, observability, on-call runbooks, and incident response • Serve as a technical resource and thought partner for product, clinical, and business stakeholders • Help define the engineering hiring bar and participate in the interview process • Partner with engineering leadership and product to scope, sequence, and de-risk large technical initiatives • Lead by example on production support — define runbooks, own post-mortems, and drive systemic fixes from incidents • Work across UI, API, DB, and infrastructure layers with genuine depth in at least two

• Own outcomes end-to-end. Take responsibility for turning high-leverage opportunities into shipped, adopted capabilities with clear measurement, iteration loops, and sustained improvement—not one-time launches. • Define the AI technical direction for your organization. • Drive build-versus-buy decisions. Recommend when to partner on models and tooling versus when to build differentiated capabilities. • Lead by implementation. Rapidly prototype and ship reference implementations to prove feasibility. • Help build the paved highway. Contribute shared foundations—evaluation harnesses, retrieval and context patterns, safety guardrails, observability, and developer experience. • Raise the bar across your organization. Mentor senior and staff engineers, lead design reviews for your teams, and help establish standards for quality and safety.