C++ Engineer for AI Training project
Actively Reviewing the ApplicationsGramian Consulting
India
Contract
On-site
INR 1–4 LPA
Posted 13 hours ago
•
Apply by May 4, 2026
Job Description
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
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
- 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
- Work in a fully remote environment
- Opportunity to work on cutting-edge AI projects with leading LLM companies
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