... LLM training, production deployment, and optimizations to advance the state of LLMs. You will ... assistants they interact with - from the metrics themselves to software applications to deep dive ...
... LLM training, production deployment, and optimizations to advance the state of LLMs. You will ... assistants they interact with - from the metrics themselves to software applications to deep dive ...
Experience using LLM-powered IDEs or coding assistants. * Excellent problem-solving skills and the ... Experience with LLM training, fine-tuning (e.g., LoRa), and/or developing custom evaluation ...
Quick apply
Experience using LLM-powered IDEs or coding assistants. * Excellent problem-solving skills and the ... Experience with LLM training, fine-tuning (e.g., LoRa), and/or developing custom evaluation ...
Experience using LLM-powered IDEs or coding assistants. * Excellent problem-solving skills and the ... Experience with LLM training, fine-tuning (e.g., LoRa), and/or developing custom evaluation ...
Experience using LLM-powered IDEs or coding assistants. * Excellent problem-solving skills and the ... Experience with LLM training, fine-tuning (e.g., LoRa), and/or developing custom evaluation ...
Software Engineer, AI Specialist - Wearables AI (Technical Leadership)
Burlingame, CA · On-site
$219K - $301K/yr
... assistants, and real-time interactive AI systems. This is a role for a technical leader who ... large-scale Omni LLM training optimization, distributed training frameworks, or inference ...
New
Software Engineer, AI Specialist - Wearables AI (Technical Leadership)
Burlingame, CA · On-site
$219K - $301K/yr
... assistants, and real-time interactive AI systems. This is a role for a technical leader who ... large-scale Omni LLM training optimization, distributed training frameworks, or inference ...
New
Technical Product Manager, LLM/ML Domain
Boston, MA · On-site
$181K - $209K/yr
... training, and internal evangelism • Collaborate with engineering to level up Agoda's platforms to ... assistants and autonomous agents • Ensure platform APIs, tooling, and abstractions enable ...
Technical Product Manager, LLM/ML Domain
Boston, MA · On-site
$181K - $209K/yr
... training, and internal evangelism • Collaborate with engineering to level up Agoda's platforms to ... assistants and autonomous agents • Ensure platform APIs, tooling, and abstractions enable ...
Technical Product Manager, LLM/ML Domain
Manhattan, NY · On-site
$183K - $212K/yr
... training, and internal evangelism • Collaborate with engineering to level up Agoda's platforms to ... assistants and autonomous agents • Ensure platform APIs, tooling, and abstractions enable ...
Technical Product Manager, LLM/ML Domain
Manhattan, NY · On-site
$183K - $212K/yr
... training, and internal evangelism • Collaborate with engineering to level up Agoda's platforms to ... assistants and autonomous agents • Ensure platform APIs, tooling, and abstractions enable ...
Technical Product Manager, LLM/ML Domain
Los Angeles, CA · On-site
$179K - $208K/yr
... training, and internal evangelism • Collaborate with engineering to level up Agoda's platforms to ... assistants and autonomous agents • Ensure platform APIs, tooling, and abstractions enable ...
Technical Product Manager, LLM/ML Domain
Los Angeles, CA · On-site
$179K - $208K/yr
... training, and internal evangelism • Collaborate with engineering to level up Agoda's platforms to ... assistants and autonomous agents • Ensure platform APIs, tooling, and abstractions enable ...
AI Solution Architect
Bellevue, WA · On-site
$71 - $93.75/hr
... assistants LLM APIs prompt engineering costperf controls Azure AI Search vector search hybrid retrieval custom scoring reranking Azure ML training deployment model registry pipelines Cognitive ...
AI Solution Architect
Bellevue, WA · On-site
$71 - $93.75/hr
... assistants LLM APIs prompt engineering costperf controls Azure AI Search vector search hybrid retrieval custom scoring reranking Azure ML training deployment model registry pipelines Cognitive ...
LLM Algorithmic Optimization Engineer
San Jose, CA · On-site
$143K - $186K/yr
Proficiency in Python and experience with AI-related training and inference tools such as PyTorch ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
Quick apply
LLM Algorithmic Optimization Engineer
San Jose, CA · On-site
$143K - $186K/yr
Proficiency in Python and experience with AI-related training and inference tools such as PyTorch ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
... assistants, and the frontier models that power them. We deploy these systems directly into the ... A basic understanding of LLM training and inference principles is required. We look for fast ...
... assistants, and the frontier models that power them. We deploy these systems directly into the ... A basic understanding of LLM training and inference principles is required. We look for fast ...
Member of Engineering (Synthetic Data Research)
$117K - $140K/yr
... assistants, and the frontier models that power them. We deploy these systems directly into the ... and LLM training is key to success in this role. You will constantly lead original research ...
Member of Engineering (Synthetic Data Research)
$117K - $140K/yr
... assistants, and the frontier models that power them. We deploy these systems directly into the ... and LLM training is key to success in this role. You will constantly lead original research ...
AI Architect
$65 - $84.75/hr
... assistants LLM APIs prompt engineering costperf controls Azure AI Search vector search hybrid retrieval custom scoring/reranking Azure ML training deployment model registry pipelines Cognitive ...
AI Architect
$65 - $84.75/hr
... assistants LLM APIs prompt engineering costperf controls Azure AI Search vector search hybrid retrieval custom scoring/reranking Azure ML training deployment model registry pipelines Cognitive ...
Principal Product Manager
San Jose, CA · On-site
... assistant/LLM entry points. What you'll bring * 10+ years in Product Management with 3+ years ... Enterprise empathy: you can balance rapid iteration with stability, change-management, and training ...
Principal Product Manager
San Jose, CA · On-site
... assistant/LLM entry points. What you'll bring * 10+ years in Product Management with 3+ years ... Enterprise empathy: you can balance rapid iteration with stability, change-management, and training ...
Principal Product Manager
San Jose, CA · On-site
... assistant/LLM entry points. What you'll bring * 10+ years in Product Management with 3+ years ... Enterprise empathy: you can balance rapid iteration with stability, change-management, and training ...
Principal Product Manager
San Jose, CA · On-site
... assistant/LLM entry points. What you'll bring * 10+ years in Product Management with 3+ years ... Enterprise empathy: you can balance rapid iteration with stability, change-management, and training ...
Law Clerk JD/LLM Only
Columbus, OH · On-site
$50K/yr
Training & development The Nemecek Firm Ltd. is seeking a highly skille d Law Clerk with ... * Assist attorneys in preparing filings, exhibits, and supporting documentation * Maintain ...
Quick apply
Law Clerk JD/LLM Only
Columbus, OH · On-site
$50K/yr
Training & development The Nemecek Firm Ltd. is seeking a highly skille d Law Clerk with ... * Assist attorneys in preparing filings, exhibits, and supporting documentation * Maintain ...
AI / LLM Systems Engineer - Egofold (Junior to Mid-Level)
Beverly Hills, CA · On-site +1
$110K - $150K/yr
... * Assist in designing and implementing AI systems that leverage large language models for reasoning ... Support the development of training, evaluation, and feedback workflows for AI agents and LLM ...
AI / LLM Systems Engineer - Egofold (Junior to Mid-Level)
Beverly Hills, CA · On-site +1
$110K - $150K/yr
... * Assist in designing and implementing AI systems that leverage large language models for reasoning ... Support the development of training, evaluation, and feedback workflows for AI agents and LLM ...
AI / LLM Systems Engineer - Egofold (Junior to Mid-Level)
Beverly Hills, CA · On-site
$110K - $150K/yr
... * Assist in designing and implementing AI systems that leverage large language models for reasoning ... Support the development of training, evaluation, and feedback workflows for AI agents and LLM ...
AI / LLM Systems Engineer - Egofold (Junior to Mid-Level)
Beverly Hills, CA · On-site
$110K - $150K/yr
... * Assist in designing and implementing AI systems that leverage large language models for reasoning ... Support the development of training, evaluation, and feedback workflows for AI agents and LLM ...
AI / LLM Systems Engineer - Egofold (Junior to Mid-Level)
Beverly Hills, CA · On-site +1
$110K - $150K/yr
... * Assist in designing and implementing AI systems that leverage large language models for reasoning ... Support the development of training, evaluation, and feedback workflows for AI agents and LLM ...
Quick apply
AI / LLM Systems Engineer - Egofold (Junior to Mid-Level)
Beverly Hills, CA · On-site +1
$110K - $150K/yr
... * Assist in designing and implementing AI systems that leverage large language models for reasoning ... Support the development of training, evaluation, and feedback workflows for AI agents and LLM ...
Education/Training/Instructional Design Department: 24010300 - LW-ASSOC DEAN-ACADEMIC ... We welcome applications from holders of JD, LLM, and SJD degrees as well as from Ph.D. recipients ...
Education/Training/Instructional Design Department: 24010300 - LW-ASSOC DEAN-ACADEMIC ... We welcome applications from holders of JD, LLM, and SJD degrees as well as from Ph.D. recipients ...
... assistants) to accelerate code generation, automate network compliance validation, and scale CI/CD ... Large Language Model (LLM) training and inference deployments * Experience supporting and ...
... assistants) to accelerate code generation, automate network compliance validation, and scale CI/CD ... Large Language Model (LLM) training and inference deployments * Experience supporting and ...
Assistant Llm Training information
See salary details
$12.02 - $13.81
0% of jobs
$13.81 - $15.60
6% of jobs
$15.60 - $17.40
16% of jobs
$17.63 is the 25th percentile. Wages below this are outliers.
$17.40 - $19.19
22% of jobs
The median wage is $19.62 / hr.
$19.19 - $20.98
24% of jobs
$22 is the 75th percentile. Wages above this are outliers.
$20.98 - $22.77
12% of jobs
$22.77 - $24.56
12% of jobs
$24.56 - $26.35
2% of jobs
$26.35 - $28.15
2% of jobs
$28.15 - $29.94
2% of jobs
$29.94 - $31.73
2% of jobs
$12
$21
$31
How much do assistant llm training jobs pay per hour?
As of Jul 14, 2026, the average hourly pay for assistant llm training in the United States is $21.16, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.60 per hour, depending on experience, location, and employer.
What are some typical challenges faced by Assistant LLM Training professionals, and how can they be addressed?
Assistant LLM Training professionals often encounter challenges such as ensuring high-quality data annotation, managing large and complex datasets, and keeping up with evolving model requirements. Effective communication with data scientists and engineers is crucial to align on project goals and annotation standards. Staying organized and proactive in seeking feedback can help address ambiguities in training data, while continuous learning about new tools and best practices in machine learning annotation can further enhance overall performance.
What are the key skills and qualifications needed to thrive as an Assistant LLM Training Specialist, and why are they important?
To thrive as an Assistant LLM Training Specialist, you need a solid understanding of machine learning concepts, data preprocessing, and natural language processing, often supported by a degree in computer science or a related field. Familiarity with Python, deep learning frameworks such as TensorFlow or PyTorch, and experience with data annotation tools are typically required. Strong attention to detail, problem-solving skills, and the ability to collaborate effectively with data scientists and engineers set standout candidates apart. These competencies ensure the accurate preparation and management of data crucial for developing effective large language models.
What are Assistant LLM Training jobs?
Assistant LLM Training jobs typically involve supporting the development, fine-tuning, and evaluation of large language models (LLMs) like GPT or similar AI systems. Individuals in these roles may help gather and curate training data, annotate or review outputs, and assist in testing model performance. They often work closely with machine learning engineers and data scientists to ensure the LLMs produce accurate, ethical, and high-quality responses. These positions may also include monitoring for biases, suggesting improvements, and maintaining documentation related to model training.
What is the difference between Assistant Llm Training vs Data Annotator?
| Aspect | Assistant Llm Training | Data Annotator |
|---|---|---|
| Required Credentials | Typically a degree in AI, computer science, or related field | High school diploma or equivalent; training often provided |
| Work Environment | Office or remote, collaborative with AI teams | Mostly remote or on-site, focused on data labeling |
| Industry Usage | AI development, machine learning projects | Data preparation for AI and ML models |
| Common Search & Comparison | Often compared for roles supporting AI training | Compared for data labeling and annotation tasks |
Assistant Llm Training involves preparing and fine-tuning language models, requiring technical skills and relevant degrees. Data Annotator focuses on labeling data to train AI models, often with minimal formal credentials. Both roles support AI development but differ in technical complexity and responsibilities.
More about Assistant Llm Training jobs
What cities are hiring for Assistant Llm Training jobs? Cities with the most Assistant Llm Training job openings:
What are the most commonly searched types of Llm Training jobs? The most popular types of Llm Training jobs are:
What states have the most Assistant Llm Training jobs? States with the most job openings for Assistant Llm Training jobs include:
What job categories do people searching Assistant Llm Training jobs look for? The top searched job categories for Assistant Llm Training jobs are:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 14 days ago
Amazon rating
7.4
Based on 6,965 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation, and LLM Inference.
As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform focus on LLM training, production deployment, and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and other MLEs, leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of Generative Artificial Intelligence solutions.
Key job responsibilities
The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment.
Responsibilities-
- Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility.
- Work closely with Applied scientists to process data, scale machine learning models
- Will work in an Agile/Scrum environment to deliver high quality software.
About the team
Central Analytics and Research Science (CARS) is an analytics, software, and science team within Amazon's Alexa AI organization. Our mission is to provide scalable and reliable evaluation of the state-of-the-art Conversational AI on how customers perceive the assistants they interact with - from the metrics themselves to software applications to deep dive on those metrics - allowing assistant developers to improve their services.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience working with PyTorch or JAX software
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
PREFERRED QUALIFICATIONS
- Experience working with PyTorch or JAX software, or experience with vLLM, SGLang, TensorRT or similar platforms in production environments
- Experience developing large model hosting platforms, establishing frameworks, and scaling and optimizing inference system.
- Experience developing and maintaining MLOps tool in large organizations.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 143,700.00 - 194,400.00 USD annually
As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform focus on LLM training, production deployment, and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and other MLEs, leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of Generative Artificial Intelligence solutions.
Key job responsibilities
The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment.
Responsibilities-
- Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility.
- Work closely with Applied scientists to process data, scale machine learning models
- Will work in an Agile/Scrum environment to deliver high quality software.
About the team
Central Analytics and Research Science (CARS) is an analytics, software, and science team within Amazon's Alexa AI organization. Our mission is to provide scalable and reliable evaluation of the state-of-the-art Conversational AI on how customers perceive the assistants they interact with - from the metrics themselves to software applications to deep dive on those metrics - allowing assistant developers to improve their services.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience working with PyTorch or JAX software
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
PREFERRED QUALIFICATIONS
- Experience working with PyTorch or JAX software, or experience with vLLM, SGLang, TensorRT or similar platforms in production environments
- Experience developing large model hosting platforms, establishing frameworks, and scaling and optimizing inference system.
- Experience developing and maintaining MLOps tool in large organizations.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 143,700.00 - 194,400.00 USD annually
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US