AI Engineer Position: AI Engineer Type: Hourly Contract (Part-Time) Compensation: $60–$120/hour Location: Remote About the Opportunity This opportunity is for experienced AI Engineers and Software Engineers with expertise in Python, Java, C++, Rust, TypeScript, algorithms, debugging, codebase refactoring, and performance optimization to contribute to advanced AI research and evaluation projects. You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with Model Context Protocol (MCP) tools. No prior AI experience is required — your technical expertise is what matters. Responsibilities Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows. Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization. Develop reproducible environments with deterministic verification and golden reference solutions. Design workflows that require AI agents to discover and reason over information using MCP tools and real MCP servers. Evaluate AI-generated software solutions for correctness, maintainability, performance, and scalability. Apply strong knowledge of algorithms, data structures, debugging, and systems engineering to create challenging evaluation tasks. Provide structured technical feedback to improve AI model reasoning and software engineering capabilities. Collaborate with technical teams to maintain consistent evaluation standards and high-quality deliverables. Required Qualifications Strong proficiency in at least one of C++, Python, Java, Go, TypeScript, or Rust. Deep understanding of algorithms, data structures, and performance optimization. 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. Excellent analytical, problem-solving, written, and verbal communication skills. Strong attention to detail and ability to work independently. Experience collaborating effectively within cross-functional or remote engineering teams. Preferred Qualifications Experience working with large-scale or distributed codebases. Familiarity with AI, machine learning, generative AI, or AI agent systems. Experience with MCP, agentic workflows, or developer tools. Background in rigorous code reviews, software testing, and engineering best practices. Experience designing benchmarks, evaluation environments, or technical assessments. Familiarity with DevOps, CI/CD, cloud infrastructure, or systems engineering. Compensation Competitive compensation of $60–$120/hour. Hourly contract engagement. Part-time opportunity of approximately 15 hours per week. Fully remote with flexible scheduling, including the option to choose your preferred working days and hours. Output-based compensation may apply, with payment based on completed tasks meeting project specifications. Application Process Apply to the role and complete the required screening questions Complete an AI interview of approximately 30 minutes Complete the technical assessment, if required Hiring Manager review Complete onboarding and begin the engagement