Micro1 review · AI Training & Data Labeling

Senior Software Engineer (RL Environments) — micro1

ClosedRL environment design & code evaluation

Pay: $100–$150 per hour
Location: Remote · worldwide
Posted: Sep 24

What the work involves

micro1 is selecting expert Senior Software Engineers to support a customer's innovative project. You'll create Reinforcement Learning Environments that test an AI model's ability to solve complex software engineering problems — fixing code, creating features, refactoring, and optimizing performance. You're tasked with building a reproducible environment and a golden reference solution for each problem. No prior AI experience is required — your engineering depth is what matters.

Your work includes contributing expert-level code samples and debugging strategies in Python3, Java, Rust, Go, C++, or TypeScript; resolving complex software defects and performance bottlenecks; implementing robust new features; refactoring legacy code for clarity and reliability; documenting technical reasoning to enhance training data quality; and reviewing peer submissions for accuracy and clarity.

What you'll do

Contribute expert-level code samples, debugging strategies, and development insights in Python3, Java, Rust, Go, C++, or TypeScript
Analyze, troubleshoot, and resolve complex software defects and performance bottlenecks in diverse codebases
Implement robust new features ensuring scalability, maintainability, and adherence to software best practices
Refactor and optimize legacy code to improve clarity, efficiency, and long-term reliability
Document technical reasoning, solution approaches, and code decisions to enhance AI training data quality
Review and validate peer-contributed code and technical submissions for accuracy and clarity
Design reproducible RL environments with golden reference solutions for AI model evaluation

Requirements & eligibility

Significant hands-on expertise in at least one of Python3, Java, Rust, Go, C++, or TypeScript
Deep understanding of algorithms, data structures, and software engineering principles
Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations
Experience with large codebase refactoring and legacy system modernization
Track record of delivering high-impact features from conception through delivery in cross-functional projects
Strong documentation and communication skills to articulate technical concepts clearly
Interest in or curiosity about AI and its technical challenges (previous AI experience not required)

How to apply

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