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Competitive Programming Specialist at Mercor. Location Information: India. This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.. Role Description. This role involves creating terminal bench–style problems and tasks involving agents within a competitive programming environment, as part of a hiring effort for its AI lab partner building advanced agent-based infrastructure.. Develop interactive, terminal-based challenges that test the problem-solving capabilities of autonomous agents in real-time coding scenarios. . Qualifications. Track record of success in competitive programming contests (e.g., ICPC, Codeforces, LeetCode, AtCoder, HackerRank) . Strong skills in algorithms, data structures, and systems-level thinking . Proficient in Python, C++, or Go, and comfortable working in terminal-based coding environments . Ability to design programming problems that test time complexity, memory constraints, logic correctness, and multi-step reasoning . Experience with online judge systems, sandboxed environments, or contest infrastructure . Curiosity about AI agents and interest in how agents can solve real-world programming tasks . Enjoy creating reproducible, progressive challenges and can abstract real-world systems problems into code-based puzzles . Requirements. Create terminal bench–style problems and tasks where autonomous agents are challenged to solve competitive programming problems in a live, terminal-driven environment . Test agent performance across algorithmic domains — such as graph theory, dynamic programming, greedy techniques, and real-time debugging . What You’ll Do. Design and implement terminal-based coding challenges for agents to solve autonomously . Build a sandboxed, judge-like environment that runs test cases, checks correctness, and monitors time/memory usage . Simulate real-world competitive conditions: limited time, incremental hints, multiple submissions, etc. . Collaborate with AI engineers to define reward functions, failure conditions, and difficulty tiers . Develop tooling for benchmark resets, output validation, and scenario generation . Evolve the difficulty of problems from beginner-level syntax and logic to advanced algorithmic pipelines and systems simulations . Why This Role Is Exciting. Define a new generation of programming benchmarks built specifically for AI agents . Blend algorithmic design, problem solving, and systems-level realism in one role . Work on uncharted challenges that push the boundaries of what agents can understand and execute . Pay & Work Structure. Classified as an hourly contractor to Mercor . Paid weekly via Stripe Connect, based on hours logged . Part-time (20 hrs/week) with fully remote, async flexibility — work from anywhere, on your own schedule