Posted today · be early
MCP Expert
micro1
WorldwideremotePosted today
Skill Required
MCP-DeveloperMCP-Solutions-ArchitectMCP-Agent-DevelopmentMCP-Server-Developmentsoftware engineeringQuery OptimizationMachine LearningData StructuresEngineeringTypeScriptdebuggingwrittenPythonGolangdesignC++JavaRustandAIContract
Key highlights
- Output‑based pay per completed task.
- ~15 hours per week contractor position.
- Remote work with flexible schedule.
- No prior AI experience required.
- Fast hiring: fill within 48 hours, start within 24–48 hours.
- Must be proficient in at least one of C++, Python, Java, GoLang, Typescript, or Rust.
Role overview
The MCP Expert is a remote, part‑time contractor role (≈15 hours/week) focused on creating reinforcement‑learning environments that train next‑generation AI systems. You will design reproducible software‑engineering challenges using Model Context Protocol tools, develop verification and reference solutions, and collaborate with remote cross‑functional teams, all while enjoying flexible scheduling and output‑based compensation.
Responsibilities
- Create Reinforcement Learning Environments that test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools.
- Design tasks that involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers.
- Develop reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.
- Apply domain expertise to help train next‑generation AI systems by providing high‑quality, real‑world input.
- Collaborate with cross‑functional remote teams to deliver maintainable solutions.
Requirements
- Proficiency in C++, Python, Java, GoLang, Typescript, or Rust.
- Deep understanding of algorithms, data structures, and performance tuning.
- Demonstrated experience debugging complex software issues and delivering maintainable solutions.
- Strong background in feature development and codebase refactoring.
- Proven ability to optimize software for performance and scalability.
- Exceptional written and verbal communication skills with keen attention to detail.
- Track record of success in collaborative, cross‑functional teams, ideally in remote settings.
- No prior experience in AI is required; domain knowledge is the primary qualification.
- Contractor role (~15 hours per week).
- Remote work location.
- Flexible schedule; you pick the hours and days, including weekends if desired.
Nice to have
- Previous experience working on large‑scale, distributed codebases.
- Familiarity with modern AI or machine‑learning systems (a plus, not required).
- Background in participating in rigorous code reviews and contributing to the development of software best practices.
Benefits
- Output‑based compensation: experts are paid per task that meets project specifications.
- Flexible working hours and the ability to choose your own schedule.
- Fully remote position.
- Quick onboarding: roles typically filled within 48 hours, with first tasks starting within 24–48 hours of completion.
Additional details
- Application process: apply to the role and fill out screening questions.
- Complete a ~30‑minute AI interview.
- Technical assessment (tentative).
- Hiring manager review.
- Minimum submission requirements apply; experts must submit a minimum number of tasks per week.
- Originally posted on Himalayas.