Turing · 8 hours ago
Head of Frontier Data
San Francisco Bay Area
Full-time
Hybrid
Director/Executive
10+ years expTuring is seeking a Head of Frontier Data to drive the strategy and execution for frontier-grade data that powers AI systems. This role involves building a team, engaging with LLM labs, and ensuring the quality and effectiveness of data generation processes.
Artificial Intelligence (AI)Generative AIInformation TechnologyMachine LearningSoftware Engineering
Responsibilities
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
Qualification
Required
PhD STEM degree (CS, Math, Statistics, Physics)
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
Preferred
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
Company
Turing
Turing advances frontier AI and builds real-world systems for Fortune 500 companies, governments, and the world’s leading AI labs.
1001-5000 employees
H1B Sponsorship
Turing has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (8)
2023 (7)
2022 (16)
2021 (6)
Funding
Current Stage
Late StageTotal Funding
$270.19MKey Investors
Khazanah NasionalAltaIR CapitalWestBridge Capital
2025-03-06Series E· $111M
2021-12-07Convertible Note· $6.85M
2021-10-04Series D· $87M
Leadership Team
Jonathan Siddharth
Founder & CEO
Vijay Krishnan
Founder & CTO
Recent News
Foundation Capital
2025-12-31
2025-11-22
Company data provided by crunchbase