Jr. Strategic Project Lead, DataFactory

Job Description

Jr. Strategic Project Lead, DataFactory

Location: Santa Clara, CA / REMOTE

Duration: 12 months

Rate Range: $60-$100/hr

Company:

A global leader in AI and high-performance computing, powering innovations in gaming, robotics, and data science.

Job Description:

Seeking a seasoned, techno-functional leader to drive the development and execution of large-scale LLM training programs. This role is deeply technical and customer-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.

Key Responsibilities:

• Lead the generation and delivery of high-quality, scalable LLM training datasets (SFT, RLHF, rubric-based evaluation, reasoning, and agentic workflows).
• Oversee the end-to-end data lifecycle from customer intake to delivery.
• Serve as the primary contact for large engagements, managing stakeholder expectations, requirements, and timelines.
• Collaborate with engineering, product, research, and delivery teams.
• Develop and refine best practices for prompt evaluation, data schema design, evaluation metrics, and human-in-the-loop QA.
• Manage and mentor leads, program managers, and annotators.
• Operate as a strategic business partner to customers.
• Build internal capability and contribute to improvements in data quality, tools, and processes.
  
  

Required Qualifications:

• 10 years of experience building and leading large scale technical delivery teams (100 ).
• Bachelor's degree in Engineering, Computer Science or equivalent practical experience.
• Demonstrated experience managing large-scale dataset generation or annotation for LLMs (RLHF or SFT pipelines preferred).
• Strong understanding of quality review mechanisms (prompt win rate, agreement metrics, inter-annotator consistency, preference modeling).
• Experience with human data generation across at least one modality (Text, Image, Video, Audio).
• Technical fluency in data platforms, machine learning concepts, and modern ML tooling (e.g., HuggingFace, LangChain, Weights & Biases).
• Strong communication skills with experience presenting to executives and managing client escalations.
  
  

Nice-to-have Qualifications:

• Prior experience at AI Data Platform companies.
• Past experience with retrieval augmented generation (RAG), fine-tuning, and human evaluation workflows.
• Familiarity with fine-tuning LLMs, prompt engineering at scale, and instruction dataset design.
• Technical fluency in Python and cloud infrastructure.
• Familiarity with benchmarks (SWE Bench, MMMLU, or equivalent).
  
  

Benefits Summary:

Individual compensation is determined by skills, qualifications, experience, and location. Full-time roles are eligible for Medical, Dental, Vision, Commuter, and 401K benefits with company matching.