AI Engineer | Remote - Contract
Design reproducible environments to test AI models on software engineering tasks
As an AI Engineer contractor, you will create Reinforcement Learning Environments that test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Your work involves fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic ve...
Why This Role?
Compensation is output-based, rewarding measurable results over hours worked
Key Responsibilities
- Design reproducible environments for testing AI models on software engineering tasks
- Implement deterministic verification and golden reference solutions for MCP tool use
- Fix bugs, implement features, refactor code, or optimize performance in real MCP server contexts
- Ensure agents can discover and reason over information from real MCP servers during testing
Requirements
- Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust
- Deep understanding of algorithms, data structures, and performance tuning
- Demonstrated experience in 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
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from HimalayasShow more
Original description from Himalayas
Job Title: AI Engineer Job Type: Contractor (~15 hrs a week) Location: Remote Schedule: Flexible, you pick the hours and days (including weekends if desired) Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Job Title: AI Engineer Job Type: Contractor (~15 hrs a week) Location: Remote Schedule: Flexible, you pick the hours and days (including weekends if desired) Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability. Required Skills Python3 JAVA Rust Algorithms Basics C++ Typescript bug fixing feature implementation codebase refactoring performance optimization Required Skills and Qualifications: Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust. Deep understanding of algorithms, data structures, and performance tuning. Demonstrated experience in 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 a keen attention to detail. Track record of success in collaborative, cross-functional teams, ideally in remote settings. Preferred Qualifications: Previous experience working on large-scale, distributed codebases. Familiarity with modern AI or machine learning systems is a plus, though not required. Background in participating in rigorous code reviews and contributing to the development of software best practices. Process: Apply to the role, filling out the screening questions Complete AI Interview (approx. 30 minutes) Technical Assessment (Tentative) Hiring Manager review Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding. Originally posted on Himalayas
Salary Context
Similar Data & Analytics roles on LokerDollar pay around $115k/yr (range $9.7k–1000k/yr, n=180 active listings).
Hiring at Xperteez Technology
Xperteez Technology has 61 other active roles on LokerDollar and has been hiring here since Oct 8, 2026 — across Data & Analytics, AI, Engineering, Finance & Accounting, Design.
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Market context
- ESTIMATEEstimated pay is 13% above the role median of $115,000/year (n=180 pay-disclosing listings).
- VERIFIEDXperteez Technology: 62 postings in the last 3 months, 62 all-time on LokerDollar.
- VERIFIEDCompany first seen Oct 8, 2026.
- VERIFIEDThis listing first seen Oct 8, 2026.
- VERIFIEDLast verified live Oct 8, 2026.
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Frequently asked questions
- Is AI Engineer | Remote - Contract at Xperteez Technology a remote job?
- Yes. AI Engineer | Remote - Contract at Xperteez Technology is a fully remote role open to candidates worldwide.
- What type of employment is AI Engineer | Remote - Contract at Xperteez Technology?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at Xperteez Technology.
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