Jobs / LLM applications

G2i

Staff Software Engineer (AI Evals)

Remote · Full-time · United States

Compensation
$100 – $200
Category
LLM applications
Employment
Full-time
Workplace
Remote

Technologies

  • TypeScript
  • Python

About the role

Staff Software Engineer (AI Evals)Contract | $100–$200/hour | 20-40 hrs/week | Start ASAP We’re looking for highly experienced software engineer to help evaluate the quality of interactions with modern coding agents such

  • Staff Software Engineer (AI Evals)
  • Contract | $100–$200/hour | 20-40 hrs/week | Start ASAP
  • We’re looking for highly experienced software engineer to help evaluate the quality of interactions with modern coding agents such as OpenAI Codex and Claude Code.
  • This is not a traditional engineering role.
  • You won’t be writing production code.
  • You’ll be evaluating something harder: whether the model thinks like a great engineer.
  • What This Role Actually Is
  • You will assess how AI coding agents behave in real-world scenarios — focusing on:
  • Whether the response makes sense
  • Whether the preamble and reasoning are useful
  • Whether the output reflects strong engineering judgment
  • Whether the interaction feels right to an experienced developer
  • This role is about engineering taste — not syntax correctness.
  • What You’ll Be Doing
  • Evaluate AI-generated coding interactions end-to-end
  • Judge whether outputs are:
  • Useful
  • Correct (at a high level)
  • Aligned with how a strong engineer would think
  • Assess the quality of explanations and reasoning , not just code
  • Distinguish between different levels of response quality (e.g. what makes something a 2 vs 4 )
  • Provide clear, opinionated feedback on:
  • What worked
  • What didn’t
  • What felt “off” or misleading
  • Help define what great looks like when interacting with tools like Cursor
  • What We Mean by “Taste”
  • We’re specifically looking for engineers who can answer questions like:
  • Does this feel like something a strong engineer would actually say?
  • Is this explanation helpful, or just technically correct?
  • Is the model guiding the user well, or just dumping output?
  • Would this interaction build or erode trust?
  • You should be comfortable making subjective but rigorous judgments .
  • Who You Are
  • Staff / Principal-level engineer (or equivalent experience)
  • Strong background in one of the below:
  • Go
  • Python
  • Rust
  • TypeScript / JavaScript

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