QA Engineer

Posted 2 Days Ago
Hiring Remotely in USA
Remote
Junior
Artificial Intelligence
Scale AI for reinforcement learning environments
The Role
As a QA Engineer, you will review code changes, refine problem statements, adjust tests for clarity, and provide updates on progress.
Summary Generated by Built In

What We’re Building

The Widget Factory is a specialized arm of Idler, a Y Combinator–backed company building systems that teach AI how to reason like engineers.

We refine coding problems drawn from real engineering — not puzzles, but real reasoning from production code. Your job is to make the thinking clear: what changed, why it mattered, and how an engineer reasoned through it.

The Role (Part Time)

We’re looking for engineers who can trace the intent behind a code change, understand what changes were made and why, and express that clearly in natural language.

This role is part-time, remote, and built for people with technical fluency, sharp attention to detail, and a disciplined command of English.

What You’ll Do

  • Read unfamiliar repos and understand the intention behind commits

  • Review and refine problem statements until they’re clear and accurate

  • Adjust unit tests to keep problems fair and solvable

  • Provide brief, consistent updates on progress and blockers

Who You Are

You have 1–2 years of coding experience and a precise eye for detail. You write cleanly, communicate quickly, and you see software engineering as your craft.

Requirements

  • 1–2 years of coding experience

  • Fluent English; strong writing is a must

  • Responsive, independent, and attentive to detail

  • 10–40 hours per week, flexible

How it Works

The best contributors stay and grow with us; they show care and depth in their work, communicate clearly about status and availability, and they help shape how our process evolves.

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The Company
HQ: San Francisco, California
6 Employees
Year Founded: 2025

What We Do

Idler builds reinforcement learning environments that teach AI models to code at expert human levels. We create training environments based on real-world coding scenarios that prepare models for the complex challenges they'll face in production.

Why Work With Us

You'll be joining a team that's expanding quickly, get direct access to AI researchers at frontier labs, and be put in a position to grow as fast as you can handle.

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Idler Offices

OnSite Workspace

All employees work in person out of our office in the Dogpatch neighborhood of San Francisco.

Typical time on-site: None
HQSan Francisco, California
Dogpatch

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