RL Environments Engineer (Contractor only)

Are you excited to build environments that help AI models learn, reason, and solve real engineering challenges?

Join Camplight and contribute to advancing the capabilities of next-generation AI systems. Your work will directly shape how modern AI models learn advanced machine learning concepts and develop stronger reasoning abilities through realistic, interactive training environments.

What you’ll be working on?

We are collaborating on a cutting-edge initiative to build the next generation of training environments for AI systems.

Today’s AI models are powerful but often struggle with complex, real-world engineering and research tasks. This project focuses on building reinforcement learning environments where models encounter realistic machine learning and engineering challenges, iterate on solutions, and improve through structured feedback loops. These environments simulate authentic ML engineering workflows, enabling models to develop deeper reasoning, problem-solving abilities, and technical understanding.

Your Role

You will design and implement reinforcement learning environments that teach AI systems advanced machine learning and engineering concepts.

Responsibilities include:

• Designing RL environments simulating ML engineering and research workflows
• Building production-grade systems in Python
• Creating containerized environments using Docker
• Translating ML research concepts into structured training tasks
• Iterating based on feedback and performance signals
• Ensuring environments are reliable, reproducible, and scalable
• This is a remote contractor role requiring at least 4 hours overlap with PST.

About Camplight

We build self-organizing technical teams, offer software development services, and work with businesses and entrepreneurs to create new products. With over 300 successful software projects, some ongoing for over 8 years, we strive for long-term success for our partners. By following the principles of self-management and organizing as a cooperative, we achieve 95% satisfaction among them. We seek the best talents to join us and value transparency, collaboration, trust, responsibility, and innovation. When joining Camplight, you can become a co-owner of the cooperative, allowing you to steer the business and share in the rewards of our collective success.

Requirements

• Strong Python engineering experience (production-quality, not notebook-only)
• Experience building reliable backend, infrastructure, or tooling systems
• Experience with Docker and containerized environments
• Strong debugging and system reliability skills
• Clear understanding of LLMs, transformers, and their limitations
• Experience with LLM inference frameworks (vLLM, SGLang, or similar) or willingness to learn
• Experience designing reinforcement learning environments or systems
• Strong understanding of modern ML or deep learning concepts
• Experience translating research ideas into working systems
• CUDA, GPU optimization, or neural network performance optimization experience is a plus
• ML research experience, publications, or open-source contributions are a plus

What do we offer?

• Fully remote contractor role with flexible work hours
• Competitive contractor compensation
• Opportunity to work on cutting-edge AI systems
• Opportunity to become a co-owner of the cooperative
• Individual career development support
• Friendly team and collaborative culture
• Flexible, autonomous work environment

What does the interview process look like?

Initial Interview: 45-minute cultural and technical interview.

Homework Assignment: ~2-hour assignment followed by 1-hour technical discussion