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C++ Engineer for AI Training project at Gramian Consulting Group. 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 building large-scale evaluation and training datasets to help LLMs solve realistic software engineering problems. As part of this initiative, we create . verifiable software engineering tasks. derived from public repository histories, using a synthetic, human-in-the-loop approach. Our goal is to expand dataset coverage across programming languages, difficulty levels, and task types. We’re looking for . experienced Software Engineers . ho are familiar with high-quality public GitHub repositories and can actively contribute to this effort. The role is hands-on and includes:. NOTE: In this project you will not build a project, but specifically generate data to improve model performance for one of the biggest foundational model companies.. Duration: . 3 months. Commitment:. 40h/week, 4h/day overlap with PST. Model:. Contract, time and material. Location: 100% Remote: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico. Interview: 75 min async test. Key Responsibilities. Review and prioritize GitHub issues from popular open-source projects . Clone, configure, and containerize repositories (including Docker setup) for local execution . Analyze unit test coverage and test reliability . Run and adapt codebases locally to evaluate LLM behavior in debugging and bug-fix scenarios . Partner closely with research teams to surface repositories and problems that meaningfully challenge LLMs . Potentially lead small groups of junior engineers and guide collaborative project work. Minimum 3+ years of overall experience. Strong experience with at least one of the following languages:  C++. 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.. Nice-to-Haves:. Experience with dataset creation, annotation, evaluation, or ML pipelines. Familiarity with benchmarks like SWE Bench or Terminal Bench. Background in QA automation, DevOps, ML systems, or data engineering. Company Location: Ghana.