G2i Inc. logo

AI Interaction Evaluator (Codex / Claude Code, up to $200/hr)

Job Overview

Location

Miami

Job Type

Contract

Category

Software Engineering

Date Posted

July 21, 2026

Full Job Description

đź“‹ Description

  • • SENIOR AI INTERACTION EVALUATOR (CODEX / CLAUDE CODE)
  • • Contract | $50-200/hr | 10+ hrs/week | Project-based
  • • Roles open on a rolling basis - apply to join the talent bench and we’ll reach out when one matches.
  • • Expect 40+ hrs once a project starts; timing depends on availability, but we move people in at the earliest genuine opportunity.
  • • These roles are currently filled but we hire on a rolling basis as new projects open up. Apply now to join our talent bench — qualified candidates will be contacted directly when roles become available.
  • • 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 — 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?
  • • WHO YOU ARE
  • • Staff / Principal-level engineer (or equivalent experience)
  • • Strong background in one of the below:
  • • TypeScript / JavaScript
  • • Python
  • • Hands-on experience using:
  • • OpenAI Codex
  • • Claude Code
  • • Cursor
  • • Deep familiarity with modern AI-assisted dev workflows
  • • Able to evaluate code without needing to fully execute or deeply review every line
  • • Comfortable giving direct, opinionated feedback
  • • High bar for what “good engineering” looks like
  • • NICE TO HAVE
  • • Experience with tools like Cursor or similar AI-first IDEs
  • • Prior exposure to prompt design or evaluation workflows
  • • Experience mentoring senior engineers or defining engineering standards
  • • ENGAGEMENT DETAILS
  • • US and Canada up to $200/hr
  • • EU and Latam up to $150/hr
  • • Other locations up to $100/hr
  • • Hours: ~10–20 hours/week
  • • Duration: Ongoing — project-based
  • • Process:
  • • Take-home evaluation exercise
  • • One behavioral interview

Skills & Technologies

Python
JavaScript
TypeScript
Onsite
$50-200/hr

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About G2i Inc.

G2i is a technical talent marketplace that pre-vets React, React Native, and Node.js engineers for U.S. companies. Founded by developers to solve hiring pain, it runs extensive code reviews, pair-programming interviews, and background checks before matching engineers for contract or full-time remote roles. G2i emphasizes mental health, offering a monthly wellness stipend and a zero-burnout policy. The company also provides direct-hire services and manages payroll, compliance, and ongoing support, enabling startups and enterprises to scale engineering teams quickly while maintaining code quality and developer well-being.

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