Senior Software Engineer, AI Training - AU

G2i

United States

Remote

AUD 198,000 - 396,000

Part time

3 days ago
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Job summary

G2i seeks a senior-level software engineer evaluator to assess AI-assisted coding interactions. You will judge whether responses reflect strong engineering judgment and offer actionable feedback without writing production code.

Applicants should have hands-on experience with modern coding agents and excellent written and spoken English. This is a remote, part-time contract role with flexible hours.

Qualifications

  • Senior, Staff or Principal‑level engineer or equivalent experience.
  • Strong background in TypeScript/JavaScript or Python.
  • Hands-on experience with OpenAI Codex, Claude Code or Cursor.

Responsibilities

  • Evaluate AI-generated coding interactions end to end.
  • Judge usefulness, correctness at a high level, and engineering judgment.
  • Assess explanations and reasoning, not just code.
  • Distinguish levels of response quality (2 vs 4).
  • Provide clear, opinionated feedback in writing and via video.
  • Help define what great looks like when using coding tools.

Skills

TypeScript/JavaScript
Python
English proficiency

Tools

OpenAI Codex
Claude Code
Cursor

Job description

Contract | Remote, worldwide | $100-$200/hour depending on experience and location | 10-20 hrs/week

Check out this Loom video for more details: https://www.loom.com/share/b0d1b0bf24c44ae8b95dca84b9db60e5

We're looking for highly experienced software engineer (SR+) 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
  • 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. Syntax correctness is the easy part.

What you'll be doing
  • Evaluate AI-generated coding interactions end to end
  • Judge whether outputs are useful, correct at a high level, and aligned with how a strong engineer would think
  • Assess the quality of explanations and reasoning, not just the code
  • Distinguish between levels of response quality (what makes something a 2 vs a 4)
  • Give clear, opinionated feedback in writing on what worked, what didn't, and what felt off or misleading
  • Help define what great looks like when working with tools like Cursor, Codex and Claude Code
What we mean by "taste"

We're 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, and explaining them clearly.

Who you are
  • Senior, Staff or Principal-level engineer (or equivalent experience)
  • Strong background in TypeScript/JavaScript or Python
  • Hands‑on experience with at least one of OpenAI Codex, Claude Code or Cursor
  • Deep familiarity with modern AI‑assisted dev workflows
  • Able to evaluate code without executing it or reviewing every line
  • Strong written and spoken English (B2 or above). You'll be writing detailed feedback and recording short video explanations, so this is a hard requirement
  • Comfortable giving direct, opinionated feedback
  • High bar for what good engineering looks like
Nice to have
  • Prior exposure to prompt design or evaluation workflows
  • Experience mentoring senior engineers or defining engineering standards
Engagement details
  • Rate: $100-$200/hour depending on experience and location
  • Hours: 10-20 hours/week, flexible
  • Duration: ongoing. Projects run from about two weeks to a few months each, and we offer new ones to evaluators who do well
  • Start: as soon as you clear the take-home and a project has an open seat
  • Process: one take-home evaluation exercise with a recorded Loom walkthrough. No interview
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