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Commission Large Language Model Llm Jobs (NOW HIRING)

TechDigital Group

AWS Architect

San Jose, CA

$76 - $99.50/hr

Experience of Prompt development for Large Language Model (LLM) interactions * Understand and enhance the existing build processes * Work on .NET core, C#, developing and supporting API layer

Xforia, Inc.

Data Scientist

... Large Language Model (LLM) solution to check coherence and consistency. Resource will also develop and modify existing models related to customer long term engagement and retention. This role will ...

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Commission Large Language Model Llm information

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$80K

$117.5K

$166K

How much do commission large language model llm jobs pay per year?

As of Jul 14, 2026, the average yearly pay for commission large language model llm in the United States is $117,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $142,500.00 per year, depending on experience, location, and employer.

What jobs can I do with LLM?

Jobs involving Large Language Models (LLMs) include roles such as AI/ML engineer, NLP researcher, data scientist, and AI product manager. These positions typically require skills in machine learning, programming (e.g., Python), and understanding of natural language processing techniques, often involving model training, fine-tuning, and deployment in various industries.

What is the difference between Commission Large Language Model Llm vs Data Scientist?

AspectCommission Large Language Model LlmData Scientist
Required credentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learningDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work environmentResearch labs, AI companies, tech firms focusing on NLP and AI developmentCorporate, research institutions, or tech companies analyzing data and building models
Industry usageAI development, NLP applications, language modeling projectsData analysis, predictive modeling, business insights across industries

While both roles require expertise in data and machine learning, Commission Large Language Model Llm focuses on developing and fine-tuning language models, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap in skills but differ in primary responsibilities and work environments.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or executive role, with compensation including salary, bonuses, and stock options. These roles often require advanced skills in deep learning, natural language processing, and experience with large-scale models like large language models (LLMs).

Which AI job has the highest salary?

In the AI field, senior roles such as AI Director, Machine Learning Director, or AI Research Scientist typically have the highest salaries, often exceeding $150,000 annually. Specialized roles involving large language models, such as Lead LLM Engineer or AI Architect, also command high compensation due to their technical expertise and impact on product development.

Which 5 jobs will survive AI?

For a Commission Large Language Model (LLM) specialist, jobs that require complex human judgment, creativity, emotional intelligence, and nuanced understanding—such as mental health professionals, creative writers, educators, strategic consultants, and healthcare providers—are likely to persist despite AI advancements. These roles involve skills that are difficult for AI to replicate fully and often require ongoing human interaction and ethical considerations.
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Commission Large Language Model Llm jobs near you
Infographic showing various Commission Large Language Model Llm job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 67% Physical, 1% Hybrid, and 32% Remote job distribution, with an average salary of $117,500 per year, or $56.5 per hour.
Machine Learning Researcher, Foundation Models [SWE Org]

Machine Learning Researcher, Foundation Models [SWE Org]

Apple

Cupertino, CA

$150K - $277K/yr

Full-time

Medical, Dental, Retirement

Re-posted 14 hours ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team.
Description
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning.
Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas improve the experience of billions of users.","responsibilities":"In this role, you will focus on pretraining, large language model (LLM) architecture, and scientific scaling of LLM. Experiences on full-stack LLM optimization such as mid-training, reinforcement learning, data research and kernel optimization (e.g. pallas and triton) will be a plus.
Preferred Qualifications
Reinforcement learning, on-policy distillation.
Post-training, mid-training large language models.
LLM context lengthening.
Minimum Qualifications
Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, ACL) or a track record in applying deep learning techniques to products
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
Ability to work in a collaborative environment.
Code large language models.
PhD, or equivalent practical experience, in Computer Science, or related technical field.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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