Senior Software Engineer | $80-$120/hr Remote
Overview
You'll design Reinforcement Learning environments that test how well AI models handle real software engineering work. Each environment uses Model Context Protocol (MCP) tools, requiring an agent to discover and reason over information before fixing bugs, implementing features, refactoring codebases, or improving performance. Your background in Python, C++, Java, or other languages matters more than AI experience. You'll work remotely on a contract basis, roughly 15 hours per week, and create reproducible scenarios with deterministic verification and golden reference solutions.
What You'll Do5
- 1Design Reinforcement Learning environments that test an AI model's ability to solve realistic software engineering problems.
- 2Build deterministic reference solutions and verification gates that measure whether an agent used MCP tools effectively and produced correct code.
- 3Create reproducible scenarios where an agent must query live MCP servers, gather context, and reason before writing a fix or feature.
- 4Draft training tasks pulled from real bug reports, feature requests, refactoring work, and performance bottlenecks in common codebases.
- 5Check agent behavior against the golden solution and adjust the environment when the scoring logic gives misleading results.
Requirements6
- 1Fluency in at least one of C++, Python, Java, GoLang, TypeScript, or Rust.
- 2Deep working knowledge of algorithms, data structures, and performance tuning, with a track record of applying these in real systems.
- 3Real examples of debugging complex bugs and shipping maintainable, correct fixes.
- 4Experience building product features and refactoring sizable codebases while keeping behavior intact.
- 5Clear written communication and close attention to detail, because a single ambiguous instruction can break a training scenario.
- 6Preference for anyone who has worked on large distributed systems or touched modern AI/ML pipelines, but that experience is not required.
Who Should Apply
The right fit is an engineer who enjoys solving nasty defects and can turn that experience into clear, repeatable tasks for a model. You should already be productive in one of the languages above because there is no ramp time for learning the coding basics. If you expect a supervised 40-hour job, this part-time contract (around 15 hours per week) will frustrate you; it demands autonomy and a willingness to meet weekly task minimums. Candidates often get screened out when their application describes general coding experience but no concrete debugging or refactoring stories. Another common miss is underestimating how much technical writing the role involves, since each environment requires precise evaluation instructions.
Salary Insight
The posted compensation range is $80-$120 per hour, yet the actual arrangement is output-based. You earn per task that passes project verification, not for the time you keep your computer open. The more approved solutions you deliver, the higher your effective hourly rate. The screening steps walk you through per-task pricing and minimum weekly submissions.
Location
Required Skills
Application Tip
Give a concrete example of a bug you diagnosed in a large codebase. State the language, the root cause, and the test you added to prove the fix. This maps to the environment-building work here, where your written explanation of the bug carries as much weight as the patch.
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