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Open-Source Software Engineering Contributor for AI Reinforcement Learning Environments

gramian consulting • Pakistan
Remote
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AI Summary

Gramian Consultancy seeks experienced open-source contributors to develop realistic reinforcement learning environments for AI model evaluation. Responsibilities include creating reproducible coding challenges, designing bug fixes and feature development tasks, and building reference solutions. Candidates must demonstrate public open-source contributions and strong software engineering skills.

Key Highlights
Freelance contractor with flexible workload and minimum weekly task submission requirements
Compensation paid per successfully completed task at $50-$100 per hour
Must have public record of meaningful open-source contributions on GitHub/GitLab
Key Responsibilities
Create reproducible software engineering environments for AI model evaluation
Design coding tasks involving bug fixes, new features, refactoring, and performance improvements
Develop accurate and maintainable reference solutions for each assigned task
Contribute production-quality code to relevant open-source repositories
Implement and optimize algorithms, libraries, and system components
Investigate and resolve bugs, technical limitations, and performance bottlenecks
Build reliable automated tests to validate expected task outcomes
Review code and provide clear, constructive technical feedback
Maintain technical documentation for environments, solutions, and implementation decisions
Collaborate with contributors and project stakeholders on technical requirements
Technical Skills Required
Python C++ Java
Benefits & Perks
Flexible workload
Hourly rate of $50-$100
Remote work

Job Description


About Us

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for experienced open-source software contributors to support a technically demanding AI engineering project. You will create realistic reinforcement learning environments that evaluate an AI model's ability to solve complex software engineering tasks, including debugging, feature development, code refactoring, and performance optimization.

The work involves designing reproducible coding challenges, preparing reliable test environments, and developing high-quality reference solutions. Candidates must have a public record of meaningful open-source contributions through platforms such as GitHub or GitLab.

CONTRACT: Freelance contractor, project-based

COMMITMENT: Flexible workload with minimum weekly task submission requirements

LOCATIONS: Fully remote

PROCESS: Application and screening questions, approximately 30-minute AI interview, potential technical assessment, and hiring manager review

NOTES: Compensation is paid per successfully completed task. Selected contributors should be available to begin within 24-48 hours after onboarding.

HOURLY RATE: $50 - $100/h

Responsibilities

  • Create reproducible software engineering environments for AI model evaluation
  • Design coding tasks involving bug fixes, new features, refactoring, and performance improvements
  • Develop accurate and maintainable reference solutions for each assigned task
  • Contribute production-quality code to relevant open-source repositories
  • Implement and optimize algorithms, libraries, and system components
  • Investigate and resolve bugs, technical limitations, and performance bottlenecks
  • Build reliable automated tests to validate expected task outcomes
  • Review code and provide clear, constructive technical feedback
  • Maintain technical documentation for environments, solutions, and implementation decisions
  • Collaborate with contributors and project stakeholders on technical requirements

Requirements

  • Demonstrable open-source contributions available through a public GitHub, GitLab, or equivalent profile
  • Strong software engineering experience in at least one of: C++, Python, Java, Go, TypeScript, or Rust
  • Experience debugging, extending, or refactoring existing production-level codebases
  • Ability to create reproducible development and testing environments

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