Open Source AI Engineer: Reproducible RL Environments (Contract)

Synthires; United States; Remote; USD 69,000 - 138,000; Part time

Job summary

Synthires is seeking a contractor for part-time work to create realistic coding tasks and reproducible reinforcement learning environments for training AI systems. The role emphasizes deterministic verifiers, scalable features, and high-quality code reviews.

Responsibilities include debugging, performance optimization, and documenting approaches across languages such as Python, Java, Rust, Go, C++, or TypeScript. Open to those with open-source history or HackerRank assessment completion.

Qualifications

• Strong software engineering experience in at least one language (Python, Java, Rust, Go, C++, or TypeScript).
• Experience building scalable services and APIs.
• Solid knowledge of algorithms and data structures.
• Proficiency in debugging, automated testing, and performance optimization.
• Experience with code reviews, bug fixes, and feature implementation.
• Clear technical communication and problem-solving skills.
• Open-source contribution history or willingness to complete HackerRank assessment.
• Nice-to-have: refactoring large codebases, legacy modernization, cross-functional delivery, strong documentation, AI interest.

Responsibilities

• Create coding tasks based on realistic software engineering scenarios.
• Build reproducible reinforcement learning environments with golden reference solutions.
• Develop deterministic verifiers that accept valid solutions.
• Debug software defects and optimize performance across codebases.
• Implement scalable features and refactor legacy code.
• Contribute code samples and technical insights in Python, Java, Rust, Go, C++, or TypeScript.
• Document technical reasoning and solution approaches.
• Review and validate code contributions for accuracy and quality.

Skills

Python

Java

Rust

Go

C++

TypeScript

API design

Debugging

Tools

GitHub

CI/CD

Testing frameworks

Job description

Synthires is seeking a contractor for part-time work to create realistic coding tasks and reproducible reinforcement learning environments for training AI systems. The role emphasizes deterministic verifiers, scalable features, and high-quality code reviews.

Responsibilities include debugging, performance optimization, and documenting approaches across languages such as Python, Java, Rust, Go, C++, or TypeScript. Open to those with open-source history or HackerRank assessment completion.