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Executive Llm Training Jobs (NOW HIRING)

Own the quality, accuracy, and scalability of data generated for LLM training * Move beyond manual ... Strong communication and storytelling skills with executive stakeholders Location SF Bay Area ...

... executives. Preferred Qualifications Proven experience in GenAI application building with agents ... for LLM training and inference at scale is a plus. Hands-on experience with LangChain and ...

... executives. Preferred Qualifications Proven experience in GenAI application building with agents ... for LLM training and inference at scale is a plus. Hands-on experience with LangChain and ...

... executives. Minimum Qualifications 3+ years experience in GenAI applications, machine learning ... for LLM training and inference at scale is a plus. Hands-on experience with LangChain and ...

... including executives. Description Product Operations partners with a variety of different ... for LLM training and inference at scale is a plus. Hands-on experience with LangChain and ...

The AI/LLM Engineer will lead the design and implementation of advanced systems centered on large ... Gap International is a global business management consulting firm that provides executive training ...

... with LLM training, fine-tuning, and inference at scale • Have experience with enterprise ... at executive communication, presentation, and storytelling • Demonstrate thought leadership ...

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

You'll work directly with enterprise clients to deploy, debug, and optimize 4MINDS LLM training ... Interview with CEO (45 Minutes) Apply Now: Hit the apply button and submit: * Detailed Resume * Git ...

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

You'll work directly with enterprise clients to deploy, debug, and optimize 4MINDS LLM training ... Interview with CEO (45 Minutes) Apply Now: Hit the apply button and submit: * Detailed Resume * Git ...

Software Engineering LMTS

Palo Alto, CA · On-site

$114K - $156K/yr

Lead end-to-end research initiatives on LLM training, fine-tuning, alignment, and optimization for ... Strong communication skills across research, engineering, and executive stakeholders. Preferred ...

... with executives to achieve breakthrough business results. We're a team of passionate problem ... Experience designing and implementing end-to-end training pipelines, including data shaping, model ...

Software Engineering LMTS

Palo Alto, CA · On-site

$114K - $156K/yr

Lead end-to-end research initiatives on LLM training, fine-tuning, alignment, and optimization for ... Strong communication skills across research, engineering, and executive stakeholders. Preferred ...

... with executives to achieve breakthrough business results. We're a team of passionate problem ... Experience designing and implementing end-to-end training pipelines, including data shaping, model ...

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Executive Llm Training information

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$39K

How much do executive llm training jobs pay per year?

As of Jul 4, 2026, the average yearly pay for executive llm training in the United States is $37,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $38,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Llm Training jobs? The most popular types of Llm Training jobs are:
Client Director, Frontier Data - US

Client Director, Frontier Data - US

Turing

Palo Alto, CA • On-site

$255K - $325K/yr

Other

Posted 7 days ago


Job description

Overview

We are seeking a seasoned techno-functional leader to drive the development and execution of large-scale LLM training programs. This leader would partner with our clients (leading LLM labs) research teams to:

  • Identify opportunities for building training datasets to improve model capabilities and performance
  • Generate these datasets with high quality and speed
  • Build automation tools and processes for scalability
  • Deliver the datasets so that they are easily usable by our clients

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
  • Bachelor's degree in Engineering, Computer Science, or equivalent technical discipline
  • Demonstrated ability to act as a strategic business partner with our clients, researchers, and engineers at leading LLM labs
  • Proven success in building and scaling multi-level high performance teams, with distributed global operations
    • Experience managing managers
    • Skip-level performance management
  • Hands-on technical fluency: ability to write and review data validation scripts
  • Demonstrated experience managing dataset generation or annotation for machine learning model evaluation and/or training 
  • Familiarity with ML tools and data workflows (e.g., HuggingFace, LangChain, Weights & Biases, Databricks)

Preferred Qualifications

  • Experience evaluating large language model performance and/or improving model performance via fine-tuning
  • Strong understanding of data quality frameworks, including automation, toolings and manual processes 
  • Experience in AI data annotation, model evaluation, and fine-tuning platforms
  • Strong communication and storytelling skills with executive stakeholders

Location SF Bay Area (Hybrid)
Compensation: $255,000 to $325,000 OTE + Equity