AI Engineer

Role Overview

Build reinforcement learning environments that evaluate an AI model’s ability to solve complex software engineering problems using Model Context Protocol tools. You will create real-world tasks and evaluation materials that help improve how AI systems learn, reason, and perform. Prior AI experience is not required.

Key Responsibilities

• Create software engineering tasks involving bug fixes, feature implementation, codebase refactoring, and performance optimization.
• Design reproducible environments, deterministic verification methods, and golden reference solutions.
• Develop evaluations that measure both MCP tool use and software engineering ability, including agents’ ability to discover and reason over information from real MCP servers.
• Provide high-quality, detail-oriented written input that supports model training and evaluation.

Qualifications

• Proficiency in C++, Python, Java, Go, TypeScript, or Rust.
• Strong understanding of algorithms, data structures, and performance tuning.
• Experience debugging complex software issues and delivering maintainable solutions.
• Background in feature development, codebase refactoring, performance optimization, and scalable software design.
• Excellent written and verbal communication skills, attention to detail, and experience collaborating on cross-functional teams, ideally in remote settings.
• Experience with large-scale distributed codebases, rigorous code reviews, and software best practices is preferred.
• Familiarity with modern AI or machine learning systems is helpful but not required.

Work Terms

• Remote independent contractor engagement.
• Approximately 15 hours per week.
• Flexible schedule, with freedom to choose your working hours and days, including weekends.
• Minimum weekly task-submission requirements apply.
• Roles are typically filled within 48 hours. Selected candidates should be ready to begin initial tasks within 24 to 48 hours after completing onboarding.

Compensation

• Advertised pay range: $60 to $120 per hour.
• Compensation is output-based and paid per task that meets project specifications. Completion time may vary based on experience and workflow.

Application Process

• Submit an application and answer screening questions.
• Complete an approximately 30-minute AI interview.
• Complete a technical assessment, if requested.
• Proceed to hiring-manager review.