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Director Frontier Data
Director Frontier DataTuring • San Francisco, CA, United States
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Director Frontier Data

Director Frontier Data

Turing • San Francisco, CA, United States
14 days ago
Job type
  • Full-time
Job description

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Base pay range

$255,000.00 / yr - $325,000.00 / yr

Additional compensation types

RSUs

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Overview

We are seeking a seasoned techno-functional leader to drive the development and execution of large-scale LLM training programs. This role is deeply technical and client-facing with significant emphasis on dataset creation, annotation workflows, and high-quality data pipelines for foundational model training. The ideal candidate combines deep technical understanding of the LLM training lifecycle, strong operational rigor, and exceptional cross-functional leadership. This role will require someone who has had experience managing managers and performance-managing large distributed teams.

Key Responsibilities

Operational Leadership & Performance Management

  • Lead and scale global delivery teams of 100+, distributed across functions, regions, and levels (ICs, leads, and managers).
  • Implement performance management systems that go beyond managerial reporting using data-driven metrics, tools, and products to assess productivity, quality, and output consistency.
  • Build strong operational structures that allow for transparency, accountability, and early detection of underperformance.
  • Partner with cross-functional leads to optimize workflows and improve internal tool adoption for delivery efficiency.

Data Quality & Scripting-Driven Automation

  • Own the quality, accuracy, and scalability of data generated for LLM training.
  • Move beyond manual QA layers by leveraging Python scripting, APIs, and automation frameworks to measure, validate, and improve dataset integrity.
  • Design and oversee tools or scripts for data validation, annotation accuracy checks, and pipeline consistency.
  • Ensure datasets adhere to compliance standards (PII, GDPR, HIPAA) and can be programmatically tested for usability and quality.
  • LLM Training & Evaluation

    Lead generation and delivery of high-quality, scalable datasets focused on SFT, RLHF, reasoning, and agentic workflows.

  • Oversee the entire data lifecycle from client intake and annotation workflow design to delivery.
  • Partner with product, research, and engineering teams to implement evaluation metrics (e.g., win rate, inter-annotator agreement, and pairwise preference scoring).
  • Client Partnership & Communication

  • Serve as the primary point of contact for enterprise AI clients; manage expectations, delivery timelines, and escalations.
  • Build relationships with engineering and research stakeholders by delivering consistently high-quality data.
  • Communicate effectively across technical and non-technical audiences; provide transparency through structured updates and quality reporting.
  • Team Development & Tooling

  • Recruit, mentor, and coach cross-functional leaders (Eng, Data, Ops, and Program Management).
  • Drive adoption and improvement of internal tools (e.g., task management systems, quality dashboards).
  • Champion continuous improvement across data quality, tools, and delivery processes.
  • Required Qualifications

  • 10+ years of experience leading large-scale technical delivery organizations, ideally across AI, ML, or data operations.
  • Proven success scaling and performance-managing teams of 100+, with distributed global operations.
  • Experience managing managers
  • Hands‑on technical fluency : ability to write, read, and review Python scripts used for data validation, QA, and automation.
  • Demonstrated experience managing dataset generation or annotation for LLMs (SFT, RLHF, or fine‑tuning pipelines).
  • Familiarity with ML tools and data workflows (e.g., HuggingFace, LangChain, Weights & Biases, Databricks).
  • Strong understanding of data quality frameworks, including automation‑based validation, inter‑annotator consistency, and win‑rate metrics.
  • Bachelor's degree in Engineering, Computer Science, or equivalent technical discipline.
  • Preferred Qualifications

  • Experience in AI Data Platform or ML infrastructure environments.
  • Experience designing RAG, SFT, or RLHF pipelines and human‑in‑the‑loop QA systems.
  • Demonstrated ability to act as a strategic business partner while maintaining technical rigor.
  • Strong communication and storytelling skills with executive stakeholders.
  • Seniority level

    Director

    Employment type

    Full‑time

    Job function

    Information Technology, Strategy / Planning, and Engineering

    Vision insurance

    Medical insurance

    401(k)

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