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Executive Llm Training Jobs (NOW HIRING)

Turing

Client Director, Frontier Data - US

Palo Alto, CA

$255K - $325K/yr

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 ...

Turing

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255K - $325K/yr

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 ...

Cerebras

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255 - $325/hr

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 ...

Ursus, Inc.

Strategic Project Lead, DataFactory

Responsibilities : • Lead the generation and delivery of high-quality, scalable LLM training ... executive stakeholders, managing client escalations, and aligning delivery with strategic goals.

Hippocratic AI

LLM Inference Engineer

Menlo Park, CA · On-site

Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI ... Tell us about an LLM inference or training project that makes you proud! Whether you've optimized ...

KBR, Inc.

AI Systems Engineer

Chantilly, VA · On-site

$152K - $190K/yr

... LLM training methodologies, RAG architecture, model alignment, and corpus curation-into strategic, actionable business recommendations for non-technical executives and government leaders. This ...

4MindsAI Inc.

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 ...

KBR

AI Systems Engineer

Chantilly, VA

$152K - $190K/yr

... LLM training methodologies, RAG architecture, model alignment, and corpus curation-into strategic, actionable business recommendations for non-technical executives and government leaders. This ...

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

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 ...

Gap International

AI/LLM Engineer

Springfield, PA

... 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 ...

Gap International

AI/LLM Engineer

Philadelphia, PA

... 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 ...

Gap International

AI/LLM Engineer

Springfield, PA · On-site

... 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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As of Aug 26, 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.

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Executive Llm Training jobs near you

Applied Scientist, Reinforcement Learning (Mid, Senior, Staff)

Hippocratic-Ai

Menlo Park, CA • On-site

$230 - $290/hr

Other

Posted 7 days ago

Job description

About Us

Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.

Why Join Our Team

Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.

Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.

Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.

Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.

Location Requirement

We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week, unless otherwise specified.

About the Role

LLM post-training is where raw capability becomes reliable, safe behavior — and in healthcare, the stakes are as high as they get. You'll own the Reinforcement Learning (RL) and On-Policy Distillation (OPD) post-training pipeline end to end, to improve our models' clinical reasoning, safety, and alignment. Your models will be deployed to interact with millions of patients across diverse clinical use cases.

What You’ll Do

  • Design RL and OPD post-training methods (RLHF, RLVR, OPD, etc.)

  • Build and evaluate reward models, verifiers, and LLM-as-judge pipelines

  • Develop conversational AI environments and simulations for healthcare RL training with synthetic data

  • Automate post-training loops with agents (auto-research)

  • Run rigorous experiments to understand what drives post-training gains

  • Collaborate with research, engineering, and clinical teams

What You Bring

  • MS or PhD in CS or relevant field

  • 5+ years or experience in NLP, LLM training, or RL

  • 2+ years experience in RL for LLM post-training

  • Experience with large-scale (50B+ parameter and multi-node) LLM training

  • Strong Python and PyTorch coding skills

  • Experience with RLHF, RLVR, LLM-as-judge or similar methods for LLM post-training

Nice-to-Have:

  • Publications at top venues (NeurIPS, ICML, ICLR, ACL, EMNLP)

  • Healthcare domain experience

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