Backend Engineer - Remote

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.

Design and create reinforcement learning environments to evaluate AI models on complex software engineering tasks using MCP tools. Develop deterministic verification systems and reference solutions for bug fixing, feature implementation, and performance optimization.

Requires strong proficiency in one or more major programming languages and a deep understanding of algorithms and data structures. Candidates must have proven experience in debugging, refactoring, and optimizing complex software codebases.

• Technical DocumentationPreferred
• Problem solvingPreferred
• CommunicationPreferred
• RustPreferred
• TypeScriptPreferred
• JavaPreferred
• C++Preferred

Identified from the job description. Confirm important requirements above.

• Python 3
• Java
• Rust
• C++
• TypeScript
• Algorithms
• Data Structures
• Debugging
• Codebase Refactoring
• Performance Optimization
• Model Context Protocol
• Reinforcement Learning Environments
• Deterministic Verification
• Technical Documentation
• Problem Solving
• Communication

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

Minimum experience

5+ years

Apply by

Sep 25, 2026

Posting language

English

Working hours

15 hours per week

Location requirements

Country, Ottawa, Ontario, Canada

Seniority

Not Applicable