Strategic Project Lead – Code

• Own the production system behind Turing’s software-engineering data programs
• Design and manage data pipelines from customer specification to final delivery, accountable for scope, timeline, and quality
• Scope and establish coding workstreams across supervised demonstrations, agentic trajectories, RL environments, benchmark construction, and rubric-graded evaluation
• Diagnose bottlenecks, resequence workflows, refine instructions, create incentive systems, and scale review processes
• Own quality control across the annotation lifecycle and close quality gaps
• Analyze datasets for trends, anomalies, and systematic errors and fix root causes
• Implement and improve annotation, evaluation, and curation practices
• Coordinate 100–1,000+ distributed software-engineering contributors
• Define contributor profiles and partner with talent teams on sourcing, assessment, onboarding, and ramping
• Own contributor training, performance management, reviewer capacity, incentives, and corrective actions
• Build team-lead and reviewer structures
• Serve as primary contact for frontier AI lab researchers and program managers
• Translate research intent into task specifications and challenge ineffective specifications
• Build long-term client relationships and identify expansion opportunities
• Use Python, SQL, or other tools to automate quality sampling, defect classification, throughput analysis, and weekly reporting
• Convert successful workflows into reusable playbooks, quality controls, evaluation assets, and contributor-management systems
• Share lessons and mentor other Strategic Project Leads
• Within 30 days, establish baselines, validate controls, and independently lead a defined workstream
• Within 90 days, deliver predictable throughput and quality and improve a material operating metric
• Within 180 days, run concurrent programs, create reusable assets, support account expansion, and help another lead adopt the operating system

• Background in software engineering, technical program management, consulting, finance, startups, or other operationally intense environments
• Proven track record managing complex, multi-stakeholder projects
• Strong analytical and communication abilities
• Customer-facing experience with high-profile clients, expectation management, and long-term relationship building
• Excitement for process optimization and large-scale execution
• Ability to read and review code
• Ability to follow pull requests in Python, TypeScript, Java, or Go
• Ability to read a test suite and independently judge delivered tasks
• Bonus: experience with agentic evaluation harnesses, software engineering benchmarks, or RL environments
• Bonus: experience managing large distributed contributor networks or marketplaces
• Bonus: prior work at an AI data vendor or frontier lab

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues and exposure to top talent from Meta, Google, LinkedIn, and startup backgrounds
• Competitive compensation
• Equal opportunity, diverse, inclusive, and authentic workplace