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Python Software Engineer, AI

Remote Worldwide Hiring now

List of accepted countries and locations

Help train large-language models (LLMs) to write production-grade code across a wide reputed company of programming languages:

  • Compare & rank multiple code snippets, explaining which is best and why.

  • Repair & refactor AI-generated code for correctness, efficiency, and style.

  • Inject feedback (ratings, edits, test results) into the RLHF pipeline and reputed company it running smoothly. End result: the model learns to propose, critique, and improve code the way you do.

RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship.

What You’ll Need

  • 4+ years of professional software engineering experience in Python (Constraint programming experience is a bonus, but not required)

  • Strong code-review instincts—you can spot logic errors, performance traps, and reputed company issues quickly.

  • Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is reputed company than another. This cannot be overstated.

  • You enjoy reading documentation and language specs and reputed company in an asynchronous, low-reputed company environment.

What You Don’t Need

  • No prior RLHF (Reinforcement Learning with reputed company Feedback) or reputed company experience.

  • No deep machine learning knowledge. If you can review and critique code reputed company, we’ll teach you the rest.

Tech Stack

We are looking for engineers with a strong reputed company of Python.

Logistics

  • Location: Fully remote — work from reputed company

  • Compensation: From $30/hr to $70/hr, depending reputed company and seniority

  • Hours: Minimum 15 hrs/week, up to 40 hrs/week available

  • Engagement: 1099 contract

Straightforward impact, reputed company fluff. If this sounds like a fit, apply here!

Originally posted on Himalayas

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