We are sharing a specialised part-time consulting opportunity for experienced Senior Software Engineers with tech-lead-level expertise to contribute to advanced LLM evaluation, repository validation, and realistic software-engineering benchmark development.
Selected professionals will work with high-quality public repositories to develop and validate verifiable software-engineering tasks, configure reproducible development environments, analyse open-source issues, assess test quality, and evaluate how advanced language models perform on realistic bug-fixing and code-modification scenarios.
Key Responsibilities
Repository Analysis & Issue Triage
- Analyse issues across well-maintained public software repositories
- Identify technically meaningful problems suitable for LLM evaluation
- Triage issues by complexity, reproducibility, and engineering relevance
- Navigate repository history to understand implementation context
- Prioritise problems that require substantive software-engineering reasoning
Repository Setup & Environment Validation
- Configure complex repositories for reliable local execution
- Build reproducible development and testing environments
- Containerise projects using Docker where appropriate
- Resolve dependencies and environment-specific configuration issues
- Validate that repositories can be consistently executed and tested
Code Modification & LLM Evaluation
- Modify and run real-world codebases locally
- Evaluate model performance on bug-fixing and implementation tasks
- Assess whether generated solutions correctly address repository issues
- Identify failure patterns across different programming languages and task types
- Compare generated solutions against professional engineering expectations
Testing & Verification Quality
- Evaluate unit-test coverage and overall test quality
- Determine whether existing tests adequately validate intended behaviour
- Identify missing edge cases and weak verification mechanisms
- Develop or refine tests where stronger validation is required
- Ensure evaluation tasks have objective and reproducible outcomes
Research Collaboration & Technical Leadership
- Collaborate with research teams on repository and task selection
- Identify software-engineering problems that remain challenging for LLMs
- Contribute insight into benchmark difficulty and dataset coverage
- Support expansion across programming languages and task complexity
- Provide technical leadership or guidance to junior engineers where required
Ideal Profile
- Senior or tech-lead-level software-engineering experience
- Strong expertise in at least one of Python, JavaScript, Java, Go, Rust, C, C++, C#, or Ruby
- Comfortable working across unfamiliar and complex codebases
- Strong proficiency with Git and repository-based development workflows
- Practical Docker and environment-setup experience
- Ability to run, modify, debug, and test production-quality software locally
- Strong understanding of software testing and unit-test design
- Ability to evaluate code quality, test coverage, and implementation correctness
- Experience working with high-quality public repositories
- Familiarity with widely used repositories with 500+ stars
- Experience contributing to or evaluating open-source software is advantageous
- Strong debugging and issue-triage capabilities
- Ability to identify technically challenging software-engineering tasks
- Clear written communication and technical reasoning skills
- Comfortable collaborating remotely with research and engineering teams
- Previous LLM research or evaluation experience is advantageous but not required
- Experience with developer tools or software-automation agents is also beneficial
Engagement Details
- Part-time independent contractor engagement
- Fully remote
- Commitment: approximately 20 hours per week
- Some overlap with PST working hours is required
- Initial contract duration is approximately 3 months
- Expected project start is the following week
- No medical or paid-leave benefits are included under the contractor arrangement
- Work will involve public repository analysis, issue triage, environment setup, testing, and LLM evaluation
- Assignments may span Python, JavaScript, Java, Go, Rust, C/C++, C#, Ruby, and related technologies
- Project work may include development-environment automation and repository validation
- Contributors may have opportunities to lead or support junior engineers
- Work must be completed without using confidential, proprietary, unreleased, employer-restricted, client-restricted, or otherwise protected code, datasets, architecture materials, or technical information belonging to any employer, client, institution, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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