Strategic Project Lead

Turing • San Francisco, CA

12d • $120,000 - $200,000 • Remote

About The Position

You will be the operational engine behind Turing’s most strategic data delivery projects for frontier AI labs. Every major lab — OpenAI, Google DeepMind, Meta AI, Anthropic, and others — depends on high-quality human expert data to train, post-train, and evaluate their models. Your job is to take those projects from customer kickoff to flawless delivery, managing hundreds to thousands of contributors and building the client relationships that turn a single project into a long-term partnership.
This is a high-ownership role. You will shape the playbook, the quality frameworks, the escalation paths, and the contributor management infrastructure that define how Turing delivers at scale.

Requirements

• Background in consulting, finance, startups, or other operationally intense environments, with a proven track record of managing complex, multi-stakeholder projects.
• Strong analytical and communication abilities: you can spot a bottleneck in a noisy production environment, build a measurement plan, and communicate the fix to a demanding client in plain language.
• Customer-facing experience: comfortable working directly with high-profile clients, managing expectations, and building long-term relationships.
• Excited by gritty process optimization and large-scale execution — you thrive on making complex operations faster, cleaner, and more reliable.

Responsibilities

• Own end-to-end delivery on every project you run, including designing and managing data pipelines from customer specification to final delivery, with full accountability for scope, timeline, and quality.
• Diagnose bottlenecks in real time by re-sequencing workflows, refining instructions, creating incentive systems, and scaling review processes to hit throughput targets.
• Run daily “war room” syncs to stay ahead of issues before they reach the customer.
• Act as the primary point of contact for researchers and program managers at frontier AI labs.
• Deliver clear, consistent reporting and proactively anticipate client needs before they ask.
• Build long-term trust that converts a one-off project into a multi-year partnership and identify expansion opportunities.
• Source, vet, onboard, train, and performance-manage domain experts across distributed workspaces.
• Maintain high execution standards at every stage of production, from annotation through review through delivery.
• Design motivation and performance systems, including gamification, that keep large contributor pools engaged and output high.
• Own quality control across the annotation lifecycle: set the bar, measure against it, and close the gap when it slips.
• Analyze datasets to identify trends, anomalies, and systematic errors, then fix the root cause, not just the symptom.
• Implement and continuously improve annotation, evaluation, and curation best practices.
• Stay ahead of emerging practices in AI data operations and apply them before customers ask.
• Champion workflow changes that reduce task completion times and improve cost efficiency.
• Maintain clear, scalable documentation so that improvements survive beyond any single project.
• Document onboarding scripts, quality benchmarks, contributor management frameworks, and escalation patterns.
• Own your domain’s section of the SPL knowledge base.
• Actively mentor the next hire.

Benefits

• Competitive compensation
• Flexible working hours
• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed