Software Engineer – Remote

IMPORTANT: after you apply please check your email. We send you a link to complete your application it is not considered until that last step is done. If you do not see it check your spam folder.

This is a fully remote position open to candidates based in 55 countries including United States United Kingdom Canada Germany India France Netherlands Singapore.

Pay: $50$100/hr

Role Title: Software Engineer (Open Source Contributor)

Role Type: Contractor

Location: Anywhere in the world remote

Pay: $50100/hour

Time per task: 15 hours per run

Onboarding: As soon as youre selected Talent Ops will send you everything you need to get started

Youll need: clear open source contributions and a profile to showcase them such as GitHub (preferably with C Python Java Go TypeScript or Rust). If you dont youll be assessed through a HackerRank assessment instead.

Your tasks: Build reproducible Reinforcement Learning Environments that test an AI models ability to fix code add features refactor and optimize performance - including a golden reference solution for each problem

Bonus: experts who complete the AI interview for this specific role move through the process significantly faster.

We care about your human judgment: our interview and assessment stages are designed to see how you think so we ask that you complete them on your own without AI assistants or help from others.

Job Description

In this role youll apply your expertise to help train next-generation AI systems. Your work will shape how models learn reason and perform through high-quality real-world input. No prior experience in AI is required your domain knowledge is what matters.

Youll create realistic interesting and challenging coding tasks for AI to solve involving feature implementation and bug fixes and implement deterministic verifiers that accept reasonable valid solutions and reject everything else.

What were looking for

1. Strong backend experience in Java Go Rust Typescript Python C or similar
2. A track record building scalable services and APIs
3. Comfort with debugging performance work and automated testing
4. Solid code review instincts

Preferred Qualifications

1. Proven experience in backend development with a track record of delivering high-quality and performant projects.
2. Demonstrated success in identifying and resolving software bugs and system bottlenecks.
3. Experience with codebase refactoring and implementing complex features in large-scale applications.
4. Strong understanding of algorithms data structures and foundational computer science concepts.
5. Excellent analytical problem-solving and technical communication skills.

Scope of Work

1. Contribute expert-level code samples debugging strategies and development insights in Python3 Java Rust Go C or TypeScript.
2. Analyze troubleshoot and resolve complex software defects and performance bottlenecks in diverse codebases.
3. Implement robust new features ensuring scalability maintainability and adherence to software best practices.
4. Refactor and optimize legacy code to improve clarity efficiency and long-term reliability.
5. Document technical reasoning solution approaches and code decisions to enhance AI training data quality.
6. Review and validate peer-contributed code and technical submissions for accuracy and clarity.

Preferred Qualifications

1. Significant hands-on expertise in at least one of the following: Python3 Java Rust Go C or TypeScript.
2. Deep understanding of algorithms data structures and software engineering principles.
3. Proven ability to debug complex systems resolve bugs and deliver effective optimizations.
4. Experience with large codebase refactoring and legacy system modernization.
5. Track record of delivering high-impact features from conception through delivery within cross-functional projects.
6. Strong documentation and communication skills to articulate technical concepts clearly.
7. Interest in or curiosity about AI and its technical challenges (previous AI experience not required).

Process:

1. Apply to the role filling out the screening questions
2. Complete AI interview (aprox. 20 minutes)
3. Technical Assessment (if your GitHub profile doesnt fully showcase the expertise required for this role)
4. Hiring Manager review

Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the experts experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected we expect you to start your first tasks within 2448 hours of completing onboarding.

How to apply

Apply here with your profile. We will then email you a link to complete your application on the hiring platform your application is only considered once that final step is done.