Senior Software Engineer, AI Training - NZ

United States Digital Space LLC; New Zealand; Remote; NZD 244,000 - 489,000; Part time

Job summary

United States Digital Space LLC is seeking a senior-level evaluator to critically assess AI-assisted coding interactions in real-world scenarios. You will judge usefulness, accuracy, and engineering judgment while avoiding execution of code.

Feedback will be written and shared through Loom-style walkthroughs. Ideal candidates have strong TypeScript/JavaScript or Python skills, experience with Codex/Claude/Cursor, and excellent English communication.

Qualifications

• Strong background in TypeScript/JavaScript or Python.
• Hands-on experience with at least one of OpenAI Codex, Claude Code or Cursor.
• Excellent written and spoken English (B2 or above).

Responsibilities

• Evaluate AI-generated coding interactions end to end.
• Assess the quality of explanations and reasoning, not just the code.
• Provide clear, opinionated feedback in writing and via short video explanations.

Skills

TypeScript/JavaScript

Python

English (B2+)

Tools

OpenAI Codex

Claude Code

Cursor

Job description

Contract | Remote, worldwide | $100-$200/hour depending on experience and location | 10-20 hrs/week

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 them clearly.

Who you are

Senior, Staff or Principal-level engineer (or equivalent experience)

• Strong background in TypeScript/JavaScript or Python

• Hands-on experience with at least one of OpenAI Codex, Claude Code or Cursor

• Deep familiarity with modern AI-assisted dev workflows

• Able to evaluate code without executing it or reviewing every line

• Strong written and spoken English (B2 or above). You'll be writing detailed feedback and recording short video explanations, so this is a hard requirement

• Comfortable giving direct, opinionated feedback

• High bar for what good engineering looks like

Nice to have

Prior exposure to prompt design or evaluation workflows

• Experience mentoring senior engineers or defining engineering standards

Engagement details

Rate: $100-$200/hour depending on experience and location

• Hours: 10-20 hours/week, flexible

• Duration: ongoing. Projects run from about two weeks to a few months each, and we offer new ones to evaluators who do well

• Start: as soon as you clear the take-home and a project has an open seat

• Process: one take-home evaluation exercise with a recorded Loom walkthrough. No interview