AI Engineer | Remote - Contract
Xperteez TechnologyJobsCloseBy Editorial Insights
Xperteez Technology is seeking a contract AI Engineer to work remotely about 15 hours per week with flexible hours including weekends. The role centers on creating Reinforcement Learning Environments that challenge AI models to solve software engineering tasks using Model Context Protocol tools, including bug fixes, feature work, refactoring and performance optimization, with emphasis on domain knowledge over formal AI experience. Key requirements span Python, Java, Rust, C++, TypeScript, strong algorithms, debugging, and proven ability to deliver maintainable, scalable solutions in remote teams. Compensation is task based. Apply by answering screening questions, completing a 30 minute AI interview, a technical assessment, and manager review; be ready to start within 24 to 48 hours of onboarding.
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.