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Surge AI

Senior Software Engineer, Agentic Coding RL Environments - AI Trainer

Pay: $100–$150/hr

Posted: 6 weeks ago

Location: Pembroke Pines, FL (Remote)

Last Updated: 1 week ago

Hours: Part-Time

Expires: 9/30/2026

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What they do

An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.

$110,581 / year median in the U.S.

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Job Description

Senior Software Engineer, Agentic Coding RL Environments - AI Trainer Surge AI Pembroke Pines, FL Job Details Part-time | Full-time | Contract $100 - $150 an hour 10 days ago Qualifications Software engineering Software coding Scalable systems Production systems Full Job Description About the job About Surge AI Surge AI partners with the world's leading AI labs to build the benchmarks and RL environments that train and evaluate frontier models. Most benchmarks cut corners because expert humans are expensive.

Our model is the opposite:

we pay experts enough that we don't have to.

Position:

Senior Software Engineer (Agentic Coding RL Environments)

Type:

Contract Compensation:

$100-150+/hour ($200-300k+/year). Rates scale with your experience, and many go past the top of that range.

Location:

Fully remote, any time zone Role Responsibilities Build coding RL environments and benchmarks that test how agents perform on realistic software engineering tasks Design tasks based on real engineering work Review and red-team model output to surface meaningful failures Write the tests, rubrics, and success criteria that separate good work from slop Give structured feedback that improves future models Qualifications Must-Have Professional software engineering experience shipping real, scaled production systems Expertise in at least one common tech stack (TypeScript, Python, Ruby, PHP, Java, Rust, Go, or C++) Strong judgment about what "good code" and a "meaningful model failure" look like Comfort working independently, and giving direct, code-review-style feedback Availability for a meaningful commitment (most contributors work 20 to 40+ hours per week)

Note:

You do not need prior AI or ML experience. Strong engineering judgment and attention to detail matter most. What makes this different No managers, 1:1s, OKR ceremonies, or Jira backlog grooming You choose when and where you work You are judged on the quality of what you produce, not speed Application Process Coding capability screen (replaces a multi-round interview loop) ID verification Background check Paid first real task. Do well, and you're on the team. Questions?