AI Technical Trainer - Remote

Job summary

Create reinforcement learning environments and deterministic verification systems to evaluate AI models on complex software engineering tasks. Design realistic scenarios for bug fixing, feature development, and performance optimization using MCP tools.

Job details

Senior Software Engineer Job Type: Contractor (:15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization. Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript. Strong understanding of algorithms and data structures. Experience with bug fixing and debugging complex software issues. Proven experience in feature implementation and codebase refactoring. Strong knowledge of performance optimization and tuning. Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases. Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices. Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview (:30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

What you’ll do

Create reinforcement learning environments and deterministic verification systems to evaluate AI models on complex software engineering tasks. Design realistic scenarios for bug fixing, feature development, and performance optimization using MCP tools.

Requirements

Requires strong proficiency in languages like Python, Java, Rust, C++, or TypeScript and a deep understanding of algorithms and data structures. Candidates must have proven experience in debugging, refactoring, and optimizing complex software codebases.

Listed skills

• Rust · Preferred
• TypeScript · Preferred
• Java · Preferred
• C++ · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python 3
• Java
• Rust
• C++
• TypeScript
• Algorithms
• Data Structures
• Bug Fixing
• Debugging
• Feature Implementation
• Codebase Refactoring
• Performance Optimization
• Technical Communication
• Model Context Protocol
• Deterministic Verification
• Reinforcement Learning Environments

Job areas

• Software
• Technology
• Engineering
• Data & Analytics
• Science & Research