Teams at Gramian Consulting Group

Build realistic backend coding challenges, feature implementations, bug fixes, and deterministic verifiers for AI training projects. Evaluate code correctness, reliability, maintainability, and performance while incorporating automated testing, validation criteria, edge-case analysis, and secure coding practices. Work independently on scalable backend systems and APIs, refine tasks based on requirements, and document technical solutions clearly.

Debug and improve software across diverse codebases, identify and remediate vulnerabilities, conduct security audits and penetration testing, refactor legacy systems, optimize backend applications, and document technical findings. The role contributes cybersecurity and software engineering expertise to AI training datasets while working independently on project-defined tasks.

Evaluate Gemini’s ability to retrieve and use personalized context from connected Google applications. Assess AI-generated responses for accuracy, relevance, helpfulness, personalization, consistency, and unsupported assumptions. Compare responses, identify subtle strengths and weaknesses, and provide clear, structured feedback according to project guidelines. The role is remote in Canada, requires Google app connectivity, strong written English, analytical thinking, privacy compliance, and availability for at least four hours daily with PST overlap.