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Staff Software Engineer (AI Evals)

G2i Talent · Remote · Coding / software engineering

Staff Software Engineer (AI Evals) is an open role at G2i Talent, available remotely, with pay listed as $100–$200/hr.

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At a glance

Pay
$100–$200/hrStated by G2i Talent
Location
Remote
Field
Coding
Listed
Since Oct 20, last confirmed Oct 22

How the pay compares

This role$200
G2i Talent median$175
Coding roles median$75
All roles median$60

Higher than 92% of the 79 distinct hourly rates advertised for Coding roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.

From G2i Talent’s listing

“Staff Software Engineer (AI Evals) Contract | $100–$200/hour | 20-40 hrs/week | Start ASAP We’re looking for highly experienced software engineer 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.”
Show the full listing

Staff Software Engineer (AI Evals) Contract | $100–$200/hour | 20-40 hrs/week | Start ASAP We’re looking for highly experienced software engineer 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: Go Python Rust TypeScript / JavaScript Hands-on experience using: OpenAI Codex Claude Code Cursor Deep familiarity with modern AI-assisted dev workflows Able to evaluate code without needi

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Frequently asked questions

How do I apply for the Staff Software Engineer (AI Evals) role at G2i Talent?

Applications go through G2i Talent's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. G2i Talent's access model is "Open / self-serve" (Join talent network). This listing was first seen here on October 20, 2026 and was still live at the last check.

Is the Staff Software Engineer (AI Evals) role at G2i Talent remote?

Yes - G2i Talent lists this role as remote.

What does the Staff Software Engineer (AI Evals) role at G2i Talent pay?

G2i Talent lists this role's pay as $100–$200/hr, quoted from the listing rather than estimated.

What kind of work is Staff Software Engineer (AI Evals)?

Coding / software engineering. Coding task creation, rubrics, evaluation and agent environments

Is G2i Talent a legitimate AI-training platform?

Direct talent network - and that relationship is rated "Confirmed" here because it can be checked against www.g2i.ai rather than taken on G2i Talent's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.

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