Partnership and Fundraising Officer
Nigeria
July 3, 2026
Full-timeJuly 3, 2026
Job Description
Job Overview:
We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality.
Duties and Responsibilities:
Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.
Required Qualifications:
Minimum 3+ years of overall experience. Strong experience with at least one of the following languages: Ruby. Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.
Additional Notes:
Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave).
We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality.
Duties and Responsibilities:
Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.
Required Qualifications:
Minimum 3+ years of overall experience. Strong experience with at least one of the following languages: Ruby. Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.
Additional Notes:
Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave).
Info
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Exercise caution and watch out for fraudulent job offers. Never provide sensitive personal information or make payments to secure a position.