G2i Logo

G2i

Staff Software Engineer, AI Code Review - Python, Go, Rust, C#

Posted 9 Days Ago
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 developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.
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

34 Minutes Ago
Easy Apply
Remote or Hybrid
Michigan, USA
Easy Apply
140K-200K Annually
Expert/Leader
140K-200K Annually
Expert/Leader
Cloud • Information Technology • Security • Software • Cybersecurity
The Account Executive will build relationships with key stakeholders, develop long-term strategies, and align Zscaler solutions with client goals. A focused problem-solving mindset is essential for success.
Top Skills: SecuritySoftware
52 Minutes Ago
Remote or Hybrid
181K-317K Annually
Senior level
181K-317K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads a team of 6–10 engineers building and operating cloud-native platform services. Owns hiring, coaching, delivery, roadmap, reliability, scalability, SLOs, on-call practices, and technical direction across hyperscaler, on-premises, and sovereign environments. Partners with senior engineering stakeholders, reviews designs and code, contributes to architecture and implementation, and communicates risks and trade-offs to leadership. Requires extensive production software experience, Kubernetes and distributed systems expertise, people management experience, hyperscaler knowledge, and familiarity with CI/CD, GitOps, and infrastructure as code.
Top Skills: AWSAzureCi/CdContainersDistributed SystemsGitopsGoogle Cloud Platform (Gcp)Infrastructure As CodeKubernetes
54 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
112K-125K Annually
Senior level
112K-125K Annually
Senior level
Healthtech • Software
Leads healthcare analytics projects using clinical, claims, pharmacy, and eligibility data to evaluate cost, utilization, quality, and program performance. Develops statistical analyses, predictive models, dashboards, and reporting solutions; identifies optimization opportunities; partners with clinical, product, engineering, and business teams; presents recommendations to stakeholders; and mentors junior analysts.
Top Skills: Amazon SagemakerAws AthenaEmr/Ehr SystemsPythonSQLTableau

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