Senior Software Engineer, AI Training - Canada
G2i Talent · Toronto · Coding / software engineering
Senior Software Engineer, AI Training - Canada is an open role at G2i Talent, located in Toronto, with pay listed as $100–$200/hr.
Applications open on G2i Talent’s own site. How we make money.
At a glance
- Pay
- $100–$200/hrStated by G2i Talent
- Location
- Toronto
- Work type
- Coding / software engineering
- Field
- Coding
- Listed
- Since Sep 29, last confirmed Oct 22
How the pay compares
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
“Contract | Remote, worldwide | $100-$200/hour depending on experience and location | 10-20 hrs/week Please note that eligibility may vary depending on your location, as some regions may not be supported by the client.”
Show the full listing
Contract | Remote, worldwide | $100-$200/hour depending on experience and location | 10-20 hrs/week Please note that eligibility may vary depending on your location, as some regions may not be supported by the client. Check out this Loom video for more details: https://www.loom.com/share/b0d1b0bf24c44ae8b95dca84b9db60e5 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. Syntax correctness is the easy part. What you'll be doing • Evaluate AI-generated coding interactions end to end • Judge whether outputs are useful, correct at a high level, and aligned with how a strong engineer would think • Assess the quality of explanations and reasoning, not just the code • Distinguish between levels of response quality (what makes something a 2 vs a 4) • Give clear, opinionated feedback in writing on what worked, what didn't, and what felt off or misleading • Help define what great looks like when working with tools like Cursor, Codex and Claude Code What we mean by "taste" We're 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, and explaining
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Frequently asked questions
How do I apply for the Senior Software Engineer, AI Training - Canada 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 September 29, 2026 and was still live at the last check.
Is the Senior Software Engineer, AI Training - Canada role at G2i Talent remote?
This role is listed for: Toronto.
What does the Senior Software Engineer, AI Training - Canada 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 Senior Software Engineer, AI Training - Canada?
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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