Technical Strategy & AI Consulting (Contract) — designed evaluation rubrics for AI-produced code at Mercor United Kingdom
Contract role focused on evaluating AI-produced code for correctness, performance, security, and maintainability. The work involved translating ambiguous requirements into measurable technical acceptance criteria and assessing AI-generated system design proposals for scalability and failure modes. Emphasis was on structured engineering rubrics and evaluation frameworks to judge AI output quality and readiness for production. • Designed coding rubrics and evaluation frameworks • Defined measurable technical acceptance criteria from ambiguous requirements • Validated scalability, trade-offs, data flow, and failure modes in AI system design proposals • Performed production-grade engineering judgment on AI-generated artifacts