G2i Logo

G2i

Python Engineer, AI Code Reviewer

Posted 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 user trust. Provide rigorous, opinionated feedback distinguishing response quality levels and help define best practices for tools such as OpenAI Codex, Claude Code, and Cursor. The role requires senior engineering judgment but does not involve writing production code.
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

23 Minutes Ago
Remote or Hybrid
44K-100K Annually
Junior
44K-100K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, assess customers’ insurance needs, recommend appropriate property and casualty coverages, and convert prospects into policyholders. Representatives receive paid licensing and sales training, build customer relationships, represent the Liberty Mutual brand, and work scheduled weekday and weekend shifts. The role is remote and requires a dedicated workspace, wired high-speed internet, strong communication and persuasion skills, and eventual attainment of a Property and Casualty insurance license.
Top Skills: Pc ProficiencyProperty & Casualty InsuranceWired High-Speed Internet
26 Minutes Ago
Remote
USA
Junior
Junior
Insurance • Financial Services
Provide bilingual (English/Spanish) phone and email support to policyholders and agents: answer/return calls, resolve complaints, process requests, scan/index documents to OnBase, mail outgoing correspondence, monitor fraud trends, assist investigations, complete assigned projects, and participate in ongoing product/process training.
Top Skills: ExcelMicrosoft WordOnbase
41 Minutes Ago
In-Office or Remote
2 Locations
43K-58K Annually
Junior
43K-58K Annually
Junior
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Manage an assigned caseload of short-term disability claims: investigate eligibility, gather medical information, adjudicate payments, communicate with claimants/employers/medical professionals, support integration initiatives, ensure timely and accurate claim payments, and meet customer service and compliance standards.
Top Skills: Broadband (Cable/Dsl)MS OfficeOutlookWired EthernetWord

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account