Software Engineer - Open Source Contributor

Software Engineer (Open Source Contributor)
CONTRACTOR OPPORTUNITY • OPEN SOURCE & AI ENGINEERING
Role Type
Contractor
Pay
$50–$100/hour
Openings
100
Location
Remote / Anywhere in the world
Time per Task
Approximately 15 hours per run
Onboarding
After selection
Required Skills

• Python3 • Java • Rust
• Algorithms • Basics C++ • Typescript
• Codebase Refactoring • GitHub • Bug Fixing
• Feature Implementation • Performance Optimization • Logical Thinking

About the Role
In this role, you'll 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.
You'll 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.
Opportunity Snapshot
Open Source Contributions: Clear open source contributions and a profile to showcase them, such as GitHub,
preferably with C++, Python, Java, Go, TypeScript, or Rust. If you don't have this, you may be assessed through a
HackerRank assessment.
Your Tasks: Build reproducible Reinforcement Learning Environments that test an AI model's ability to fix code, add
features, refactor, and optimize performance, including a golden reference solution for each problem.
Process Advantage: Experts who complete the AI interview for this specific role may move through the process
significantly faster.
Independent Judgment: The interview and assessment stages are designed to evaluate how you think. Candidates are
expected to complete them on their own, without AI assistants or help from others.
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.FUTUREJOBS.AI
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   Preferred Qualifications
7. Significant hands-on expertise in at least one of the following: Python3, Java, Rust, Go, C++, or TypeScript.
8. Deep understanding of algorithms, data structures, and software engineering principles.
9. Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.
10. Experience with large codebase refactoring and legacy system modernization.
11. Track record of delivering high-impact features from conception through delivery within cross-functional projects.
12. Strong documentation and communication skills to articulate technical concepts clearly.
13. Interest in or curiosity about AI and its technical challenges; previous AI experience is not required.
    Application & Assessment Process
14. Apply to the role and complete the screening questions.
15. Complete the AI interview — approximately 20 minutes.
16. Complete a technical assessment if your GitHub profile doesn't fully showcase the expertise required for this role.
17. Proceed to Hiring Manager review.

Pay: ₹644,000.00 - ₹2,000,000.00 per year

Work Location: Remote