AI Engineer

Responsibilities

• Create realistic software engineering tasks for AI model evaluation.
• Develop reinforcement learning environments using MCP tools.
• Design tasks involving bug fixes, feature implementation, refactoring, and performance optimization.
• Build deterministic verification and testing processes to evaluate solutions.
• Develop high-quality reference or golden solutions for benchmarking.
• Ensure environments are reproducible, reliable, and representative of real-world engineering workflows.
• Analyze complex codebases and identify meaningful engineering challenges.
• Document tasks, solutions, and evaluation criteria clearly.

Requirements

• Strong proficiency in one or more of C++, Python, Java, Go, TypeScript, or Rust.
• Solid understanding of algorithms, data structures, and software engineering fundamentals.
• Demonstrated experience debugging complex software issues.
• Strong experience developing features and refactoring existing codebases.
• Experience with performance optimization and scalability.
• Excellent written and verbal communication skills.
• Strong attention to detail and ability to produce reliable, high-quality work.
• Able to work independently and collaborate effectively in a remote environment.

Preferred Qualifications

• Experience working with large-scale or distributed codebases.
• Familiarity with AI, machine learning, or agent-based systems.
• Experience with rigorous code reviews and software development best practices.
• Familiarity with developer tools, APIs, testing frameworks, or automated evaluation systems.

Pay

$60–$120/hour depending on experience and expertise.

Schedule

Fully remote.

Benefits

No prior AI experience required.

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