About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

 

Role Summary

You will own the strategy, team, and execution for frontier-grade data that powers cutting-edge AI systems. You’ll build the organization, keep us on the bleeding edge of data methods, and ship proactive, off-the-shelf data packs and tooling that measurably improve model quality and time-to-value.

What You’ll Do

• Engage with leading LLM labs to advance LLMs across STEM domain
• Engage with a team of leading STEM experts in US and across the globe to generate AGI advancing data in STEM
• Understand and define what constitutes good STEM data (data diversity, model breaking prompts, pass @K distribution)
• Define and understand data quality rubric
• Drive data generation operations through PMO reporting into this role
• Responsible to build a team of Strategic project leads (SPL) and oversee various client data generation workstreams being run by the SPLs
• Set headcount plans, budget, vendor strategy, and capacity models that scale.
• Understand SFT/RLHF/RLAIF/Evals methodology
  Define and continuously refine quality definitions and measurement (rubrics, gold sets, adjudication, inter-annotator agreement, automated checks, eval harnesses).
• Produce offering collateral and internal research briefs that convert into real customer value.
• Ship proactive data packs
• Own the roadmap and production of off-the-shelf data packs (by domain, modality, and task); ensure packaging, documentation, licenses, and release notes are crisp.
• Drive cross-company learning: postmortems, playbooks, and pattern libraries so wins compound.
• Tools, generation, and proof of value
• Stand up proactive data generation (human + synthetic), QC tooling, dashboards, and auto-checks integrated into CI for data.
• Lead fast PoV cycles with customers: sample packs, eval notebooks, and “time-to-first-signal” demos.
• Close the loop with customers
• Systematically implement feedback from Frontier Data Managers and Sales; translate signals into roadmap changes, SLAs, and new pack definitions.

Minimum Qualifications

• STEM degree (CS, Math, Stats, EE, or related). Advanced degree preferred.
• 10+ years in data/ML/analytics or data product roles; 4+ years leading managers/leads in high-growth environments.
• Deep command of the data lifecycle for AI systems: sourcing, labeling, synthesis, QA, evals, and deployment feedback loops.
• Hands-on fluency with Python/SQL and modern data/ML stacks (cloud object stores, distributed compute, labeling/QC systems, experiment/eval frameworks).
• Track record of turning research into shippable data products and measurable quality lift.
  
  

Nice to Have

• Experience with RLHF/RLAIF pipelines, multimodal data, agents/tool use, and safety evaluations.
• Built or operated human-in-the-loop programs at scale (onshore/offshore) with rigorous QA.
• Familiarity with data licensing, IP, and safety/privacy constraints for AI training.

Core Competencies

• Org builder with crisp operating cadence and high hiring bar.
• Product sense for data: knows when a dataset is “sellable” and how it will move eval metrics.
• Metric-driven and experimental: designs evals that survive contact with reality.
• Clear communicator who earns trust with execs and ICs.
  
  

Success Metrics (12 Months)

• Data Packs: 6–10 new packs launched; ≥70% reused across ≥3 customers each.
• Quality Lift: ≥X% improvement on target evals (task-specific) vs. baseline; ≤Y% variance.
• Talent: >90% retention for top performers; time-to-productivity ≤60 days.
• Voice of Customer: Closed-loop feedback implemented with measurable NPS/CSAT lift.

How We Work

• High-ownership, low-drama execution.
• Ship small, validate fast, scale what works.
• Ruthless clarity on quality definitions and measurement.

 

 

Values:

• We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
• We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
• We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

 

Advantages of joining Turing: