G2i Logo

G2i

C# Engineer, AI Code Reviewer

Reposted Yesterday
Remote
Hiring Remotely in USA
100-200 Hourly
Expert/Leader
Remote
Hiring Remotely in USA
100-200 Hourly
Expert/Leader
Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and overall developer experience. Provide rigorous, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. The role requires deep software engineering experience, familiarity with AI-assisted development workflows, and the ability to assess code and explanations without reviewing every line.
The summary above was generated by AI
Senior AI Interaction Evaluator (Codex / Claude Code)

Contract | $100–$200/hour | 10–20 hrs/week | Start ASAP (through early May)

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 — 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:

    • 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
  • Rate: $100–$200/hour

  • Hours: ~10–20 hours/week

  • Duration: Through early May (with possible extension)

  • Start: ASAP

  • Process:

    • Take-home evaluation exercise

    • One behavioral interview

Similar Jobs

9 Minutes Ago
Remote or Hybrid
United States
164K-252K Annually
Expert/Leader
164K-252K Annually
Expert/Leader
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads GM’s enterprise career development, internal mobility, reskilling, and redeployment strategy, with emphasis on skilled trades and manufacturing populations. Builds operating models, workforce transition pathways, multi-year roadmaps, and success metrics; partners with HR, learning, talent, analytics, and business leaders; uses workforce insights and AI responsibly; and manages a small team. Requires extensive experience in career development, workforce planning, job architecture, reskilling, people leadership, and manufacturing or skilled-trades environments.
Top Skills: Artificial Intelligence (Ai)HrisTalent Management Platforms
Mid level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Define and optimize design and validation requirements for inverters and high-voltage bus; predict losses, heat rejection, ripple, and resonances; assess control strategy and design-change impacts; perform HTD, PTC, and ripple rejection analysis; support power electronics through concept to production; provide technical leadership and supplier assessment; pursue cost, size, and efficiency improvements.
Top Skills: Ansys HfssAnsys SherlockAnsys SiwaveElectric DriveEmcGanHigh Voltage BusMatlabPower ConvertersPower InvertersSaberSiSicSimulink
Junior
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop math design data and virtual layouts for Seats subsystems and components using NX and CAD. Perform virtual integration, analyze vehicle and part data, apply manufacturability and Design for Assembly, and support program reviews. Collaborate with engineers, document specifications, and ensure timely, high-quality math data releases.
Top Skills: CadData Management SystemsGm CadNxPlmVismockupWindows Suite

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account