Senior Software Engineer, Reinforcement Learning Environments

OpenTrain AI, Inc.; United States; Remote; USD 110,000 - 165,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a Senior Software Engineer specializing in reinforcement learning to design reproducible environments and robust software tasks. This remote, part-time contractor role focuses on DevOps, CI/CD, debugging, and efficient code across languages.

You will create gold-standard solutions, assess algorithms and data structures, and collaborate in a distributed team to deliver maintainable, scalable workflows.

Qualifications

• Proficiency in one or more of C++, Python, Java, Go, TypeScript or Rust.
• Strong understanding of algorithms, data structures and performance tuning.
• Ability to debug complex software issues and deliver maintainable solutions.

Responsibilities

• Design tasks that evaluate AI models on DevOps, CI/CD and debugging problems.
• Build or refine reproducible reinforcement learning environments and workflows.
• Use command-line tools like Git, Docker, GDB, AddressSanitizer and FFmpeg.
• Create golden reference solutions for workflows and tasks you develop.

Skills

C++

Python

Java

Go

TypeScript

Rust

Algorithms

Data structures

Debugging

Tools

Git

Docker

GDB

AddressSanitizer

FFmpeg

Job description

Senior Software Engineer, Reinforcement Learning

Build reproducible reinforcement learning environments and software engineering tasks covering DevOps, CI/CD, and debugging. This remote role offers $80 to $120 per hour equivalent, paid per task that meets project specifications, for about 15 hours per week.

$80–$120/hr

The work

You will create reproducible reinforcement learning environments that test how AI models solve complex software engineering workflows. Your work will cover DevOps, CI/CD, debugging, and command-line tools such as Git, Docker, GDB, AddressSanitizer, and FFmpeg.

You will also create realistic software engineering scenarios, produce golden reference solutions that show reliable ways to complete tasks, and assess solutions using sound judgment about algorithms, data structures, maintainability, performance, and scalability.

• Design tasks that evaluate AI models on DevOps, CI/CD, and debugging problems.
• Build or refine reproducible reinforcement learning environments and realistic software workflows.
• Use command-line development and debugging tools, including Git, Docker, GDB, AddressSanitizer, and FFmpeg.
• Create golden reference solutions for the workflows and tasks you develop.

What it pays and takes

This is a remote, part-time contractor role. Work is available in the listed countries, subject to applicable hiring eligibility.

• $80 to $120 per hour equivalent, paid per task that meets project specifications.
• Expected commitment: approximately 15 hours per week.
• Open to candidates in the listed countries.
• Proficiency in one or more of C++, Python, Java, Go, TypeScript, or Rust.
• Strong understanding of algorithms, data structures, and performance tuning.
• Ability to debug complex software issues and deliver maintainable solutions.
• Experience with feature development, codebase refactoring, and performance optimization.
• Strong written and verbal communication, close attention to detail, and effective collaboration in remote or cross‑functional settings.
• Helpful background includes large-scale or distributed codebases, modern AI or machine learning systems, and rigorous code reviews or software engineering practices.
• Prior AI experience is not required when you bring strong software engineering expertise.

About AI training work

AI training is the human work behind systems that learn from examples, including software tasks, model responses, and evaluations. People with strong technical expertise help define reliable examples and judge whether AI systems solve difficult problems correctly.