JavaScript of Senior Software Engineer, AI Training

G2i

United States

Remote

USD 138,000 - 276,000

Part time

2 days ago
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Job summary

G2i is seeking a Senior to Principal-level engineer to join as an evaluator of AI coding agents. You won't write production code; you'll assess model-generated interactions for usefulness, reasoning, and engineering judgment across real-world prompts and tasks.

Applicants should have deep TypeScript/JavaScript or Python experience, hands-on familiarity with Codex/Claude/Cursor, and excellent written English. This remote, contract role offers flexible 10–20 hours/week with competitive hourly pay.

Qualifications

  • Senior, Staff or Principal-level engineer with deep hands-on experience.
  • Strong background in TypeScript/JavaScript or Python.
  • Excellent written English and ability to give clear feedback.
  • Hands-on familiarity with AI coding tools like Codex, Claude Code or Cursor.

Responsibilities

  • Evaluate AI-generated coding interactions end to end.
  • Judge usefulness, high-level correctness, and engineering judgment.
  • Assess explanations and reasoning quality, not just code.
  • Provide clear, opinionated feedback in writing and video explanations.
  • Help define what great looks like when using AI 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:

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

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. 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"
  • 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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