Remote RL Environment Engineer — Contractor (PST Overlap)

Open Data Science; San Francisco (CA); Remote; USD 100,000 - 150,000; Full time

Job summary

A company specializing in AI training data is seeking a Reinforcement Learning Environment Engineer to design and build MLE/SWE environments. This remote contractor position requires strong Python skills, hands-on LLM experience, and the ability to operate independently. With an expected deliverable of one task every 8-10 hours, candidates need to have advanced English proficiency and a minimum of 4 hours overlap with Pacific time. There's potential for conversion to full-time employment based on performance.

Qualifications

• Proven experience with engineering-quality Python.
• History of shipping and operating production-level LLM/GenAI systems.
• Ability to meet throughput expectations.

Responsibilities

• Design and build MLE/SWE environments.
• Target specified language models and ensure difficulty distribution.
• Deliver approximately one task every 8-10 hours after onboarding.
• Edit tasks based on customer feedback within 24 hours.

Skills

Strong Python

Hands-on LLM/GenAI experience

End-to-end pipeline ownership

Advanced English (C1/C2)

Job description

A company specializing in AI training data is seeking a Reinforcement Learning Environment Engineer to design and build MLE/SWE environments. This remote contractor position requires strong Python skills, hands-on LLM experience, and the ability to operate independently. With an expected deliverable of one task every 8-10 hours, candidates need to have advanced English proficiency and a minimum of 4 hours overlap with Pacific time. There's potential for conversion to full-time employment based on performance.