Remote | Senior Software Engineer – LLM Evaluation & Repository Validation

24-Mag Llc

New York (NY)

Remote

USD 83,000 - 138,000

Part time

2 days ago
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Benefits offered by this job

Fully remote

Job summary

24-MAG LLC is seeking a part-time Senior Software Engineer for a remote consulting role focused on advanced LLM evaluation, repository validation, and benchmark development.

You will analyze public repositories, configure reproducible environments using Docker, modify real-world code, and assess model performance on bug-fixing tasks. The contract runs about 20 hours per week for 3 months, with some overlap to PST hours.

Qualifications

  • Senior engineer with expert-level software development experience.
  • Proficient in Python, JavaScript, Go, or C-family languages.
  • Strong debugging and issue-triage skills.
  • Experience with open-source software is advantageous.
  • Familiarity with large language model evaluation is a plus.

Responsibilities

  • Analyse issues across public repositories for LLM evaluation.
  • Set up reproducible development environments and Docker containers.
  • Modify code and evaluate model performance on tasks.
  • Conduct testing and verify repository quality.
  • Lead or support junior engineers; collaborate remotely.

Skills

Senior Engineer
Tech Lead
LLM evaluation
Open-source analysis
Python
Git
Docker
CI/CD

Tools

Docker
Git

Job description

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.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

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