Strategic Project Lead Software Engineering

You will lead end-to-end delivery for software engineering AI training programs. The work covers coding datasets, repository-level tasks, agent workflows, reinforcement-learning environments, benchmarks, code review, and rubric-based evaluations.

You will turn research goals into practical task specifications, contributor workflows, review systems, capacity plans, quality controls, and reusable operating guides. You will also improve quality, throughput, contributor performance, timelines, and cost across distributed programs.

The role includes working with large contributor programs, finding bottlenecks, analyzing datasets for repeated errors, and fixing root causes through clearer instructions, better sequencing, incentives, and review structures.

• Build team-lead and reviewer systems for programs involving 100 to 1,000 or more contributors.
• Use Python, SQL, or similar tools for quality sampling, defect analysis, throughput reporting, and operational reviews.
• Share progress, risks, quality trends, and recovery plans with AI research customers.
• Mentor other program leads and help turn changing research requirements into dependable delivery systems.

This is a part-time contractor role open worldwide.

• Time: At least 20 hours per week.
• Language: Professional fluency in English.
• Background: Experience leading complex, multi-stakeholder programs in software engineering, technical program management, consulting, finance, startups, operations, or a similar setting.
• Technical skills: Read and review code, understand test suites, and independently assess technical work in Python, TypeScript, Java, or Go.
• Operations skills: Identify bottlenecks, define useful metrics, improve production performance, and manage distributed teams, contributor networks, marketplaces, or large technical operations.
• Communication skills: Manage expectations, communicate risks, and build lasting customer relationships.