Software Engineer (GitHub Contributor)

$50–100/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Worldwide
Field: STEM and Coding

Build reproducible coding environments that test whether AI models can fix defects, implement features, refactor code, and improve performance. You will create reference solutions, deterministic verifiers, and technical documentation grounded in real backend engineering practice.

The work

You will design realistic coding tasks drawn from backend engineering, including bug fixes, feature implementation, refactoring, and performance optimization. Each environment must be reproducible and include a golden reference solution plus deterministic verification that accepts reasonable valid implementations while rejecting incomplete or incorrect ones. Work may also include reviewing peer submissions, documenting technical reasoning, and contributing debugging or development strategies.

What the screening measures

The AI-led interview focuses on verifiable engineering experience and how you reason through code quality, correctness, scalability, and test design. Expect follow-up questions about specific services, defects, bottlenecks, refactors, and open-source contributions. A technical assessment may be required if your GitHub or comparable profile does not sufficiently demonstrate the relevant expertise, and the interview and assessment must be completed without AI assistants or help from others.

Languages and technical background

The core requirements describe backend experience in Java, Node.js, Go, Rust, Typescript, Python, C++ or similar. Open-source profiles are preferably in C++, Python, Java, Go, TypeScript, or Rust. The scope names Python3, Java, Rust, Go, C++, or TypeScript, and significant hands-on expertise in at least one of Python3, Java, Rust, Go, C++, or TypeScript is preferred. Prior AI experience is not required.

Logistics

Pay band: $50–100/hr

The contractor role is remote and open worldwide. Compensation is output-based for tasks meeting project specifications, with each run estimated at roughly 15 hours, although actual time varies and minimum weekly submission requirements apply. The listing does not specify fixed daily hours, so execution appears largely asynchronous, but async scheduling is not guaranteed. The process includes an AI interview of approximately 20 minutes, possible technical assessment, and hiring manager review; selected contributors are expected to begin their first tasks within 24 to 48 hours after onboarding.

What they look for

Python3
JAVA
Rust
Algorithms
Basics C++
Typescript
codebase refactoring
GitHub
Bug Fixing
Feature Implementation
Performance Optimization
Logical Thinking

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether your claimed backend experience is tied to a concrete system, identifiable responsibilities, and engineering tradeoffs rather than broad team-level claims.
A strong answer: Anchor the answer in one project and distinguish your own changes from the team's work. Include the architecture, workload or scale indicators, a consequential decision, and evidence such as commits, pull requests, release notes, or measurable production behavior.
Where people lose it: Candidates lose points by describing the product and technology stack without identifying what they personally implemented or how the service's scalability was established.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

STEM AND CODING on Sidequest

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