Join the team redefining what a deeply personal and integrated assistant can be. As part of the ... LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM.
Join the team redefining what a deeply personal and integrated assistant can be. As part of the ... LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM.
... LLM training, production deployment, and optimizations to advance the state of LLMs. You will ... assistant developers to improve their services
... LLM training, production deployment, and optimizations to advance the state of LLMs. You will ... assistant developers to improve their services
... assistant. You will work on key initiatives spanning large language model fine-tuning, alignment ... Improve the efficiency of LLM, VLM, and agent training and evaluation pipelines, including ...
... assistant. You will work on key initiatives spanning large language model fine-tuning, alignment ... Improve the efficiency of LLM, VLM, and agent training and evaluation pipelines, including ...
LLM Post-training Engineer Intern (Research & Product) - 2026 Summer (BS/MS)
San Jose, CA · On-site
$45/hr
... alignment. - Assist in building robust evaluation pipelines to measure model performance ... and LLM training principles. - Demonstrated ability to learn quickly in a fast-paced environment ...
LLM Post-training Engineer Intern (Research & Product) - 2026 Summer (BS/MS)
San Jose, CA · On-site
$45/hr
... alignment. - Assist in building robust evaluation pipelines to measure model performance ... and LLM training principles. - Demonstrated ability to learn quickly in a fast-paced environment ...
We are seeking an expert Solutions Architect to assist customers in building AI/ML and HPC software ... training and inference. * Conducting regular technical customer meetings for project/product ...
We are seeking an expert Solutions Architect to assist customers in building AI/ML and HPC software ... training and inference. * Conducting regular technical customer meetings for project/product ...
Senior Solutions Architect, GPU Performance and LLM - Cloud Service Providers
Santa Clara, CA · On-site
We are seeking an expert Solutions Architect to assist customers in building AI/ML and HPC software ... training and inference. * Conducting regular technical customer meetings for project/product ...
Senior Solutions Architect, GPU Performance and LLM - Cloud Service Providers
Santa Clara, CA · On-site
We are seeking an expert Solutions Architect to assist customers in building AI/ML and HPC software ... training and inference. * Conducting regular technical customer meetings for project/product ...
Senior Solutions Architect, GPU Performance and LLM - Cloud Service Providers
Santa Clara, CA · On-site
We are seeking an expert Solutions Architect to assist customers in building AI/ML and HPC software ... training and inference. * Conducting regular technical customer meetings for project/product ...
Senior Solutions Architect, GPU Performance and LLM - Cloud Service Providers
Santa Clara, CA · On-site
We are seeking an expert Solutions Architect to assist customers in building AI/ML and HPC software ... training and inference. * Conducting regular technical customer meetings for project/product ...
... LLM training, production deployment, and optimizations to advance the state of LLMs. You will ... assistant developers to improve their services
... LLM training, production deployment, and optimizations to advance the state of LLMs. You will ... assistant developers to improve their services
Join the team redefining what a deeply personal and integrated assistant can be. As part of the ... LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM.
Join the team redefining what a deeply personal and integrated assistant can be. As part of the ... LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM.
LLM Engineer
San Mateo, CA · On-site
... next generation of intelligent assistants for engineering workflows. You'll work at the ... Connect LLM capabilities with Luminary's Physics AI training/evaluation/inference pipelines ...
LLM Engineer
San Mateo, CA · On-site
... next generation of intelligent assistants for engineering workflows. You'll work at the ... Connect LLM capabilities with Luminary's Physics AI training/evaluation/inference pipelines ...
Senior Software Engineer - LLM Trainer
San Francisco, CA · Remote
$125K - $165K/yr
... AI training data for a leading expert human data platform for AI agents and LLMs . In this role ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
Quick apply
Senior Software Engineer - LLM Trainer
San Francisco, CA · Remote
$125K - $165K/yr
... AI training data for a leading expert human data platform for AI agents and LLMs . In this role ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
Senior AI Application Engineer
Tampa, FL · On-site
$120K - $140K/yr
... internal assistants, chatbots, and RAG-based retrieval systems. * Define and enforce AI ... Support LLM training, fine-tuning, and private/on-prem deployment in secure, closed environments ...
Senior AI Application Engineer
Tampa, FL · On-site
$120K - $140K/yr
... internal assistants, chatbots, and RAG-based retrieval systems. * Define and enforce AI ... Support LLM training, fine-tuning, and private/on-prem deployment in secure, closed environments ...
Senior AI Application Engineer
Tampa, FL · On-site +1
$140K/yr
... internal assistants, chatbots, and RAG-based retrieval systems. * Define and enforce AI ... Support LLM training, fine-tuning, and private/on-prem deployment in secure, closed environments ...
Senior AI Application Engineer
Tampa, FL · On-site +1
$140K/yr
... internal assistants, chatbots, and RAG-based retrieval systems. * Define and enforce AI ... Support LLM training, fine-tuning, and private/on-prem deployment in secure, closed environments ...
SEO/GEO Marketing Manager
Minneapolis, MN · On-site
... assistants (ChatGPT, Claude, Gemini, Copilot, Perplexity). Identify high-value niche queries for M& ... LLM training sets. Manage backlink profile health, including disavowal of toxic links and ...
SEO/GEO Marketing Manager
Minneapolis, MN · On-site
... assistants (ChatGPT, Claude, Gemini, Copilot, Perplexity). Identify high-value niche queries for M& ... LLM training sets. Manage backlink profile health, including disavowal of toxic links and ...
Senior AI Application Engineer
Tampa, FL · On-site +1
$120K - $140K/yr
... internal assistants, chatbots, and RAG-based retrieval systems. * Define and enforce AI ... Support LLM training, fine-tuning, and private/on-prem deployment in secure, closed environments ...
Senior AI Application Engineer
Tampa, FL · On-site +1
$120K - $140K/yr
... internal assistants, chatbots, and RAG-based retrieval systems. * Define and enforce AI ... Support LLM training, fine-tuning, and private/on-prem deployment in secure, closed environments ...
Deep expertise across: LLM training and fine-tuning, agentic system design, knowledge graph ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
Deep expertise across: LLM training and fine-tuning, agentic system design, knowledge graph ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
LLM training and fine-tuning, agentic system design, knowledge graph construction, large-scale data ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
Quick apply
LLM training and fine-tuning, agentic system design, knowledge graph construction, large-scale data ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
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 ...
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 ...
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 ...
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 10, 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
Re-posted 21 days ago
Apple rating
8.1
Based on 667 frontline employees who took The Breakroom Quiz
5th of 30 rated technology retailers
Job description
Join the team redefining what a deeply personal and integrated assistant can be.
As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.
This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.
Description
As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross-functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple's custom Apple Silicon. You will be joining a team that spans data, modeling, evaluation, deployment and working with engineers across ML infrastructure, inference, and framework teams. You will write production-level code to train and deploy models that will impact Apple's customers and enrich their lives. You are an ideal candidate if you: Are not afraid of CUDA OOM or NCCL errors
Minimum Qualifications
Experience in model lifecycle of training, evaluation, and deployment of models
Strong understanding of Machine Learning (ML) model architectures (e.g. Transformers, CNN) and ML training loop
Strong proficiency in Python and ML framework such as PyTorch
Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience
Experience with agentic AI-assisted coding
Preferred Qualifications
Collaborative with experience working in large inter-teams projects
Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding
Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism
Experience in an LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM.
Experience in optimizing LLM models and deploying LLM models
Proficiency in a compiled programming language (e.g. Swift, C/C++, Java)
As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.
This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.
Description
As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross-functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple's custom Apple Silicon. You will be joining a team that spans data, modeling, evaluation, deployment and working with engineers across ML infrastructure, inference, and framework teams. You will write production-level code to train and deploy models that will impact Apple's customers and enrich their lives. You are an ideal candidate if you: Are not afraid of CUDA OOM or NCCL errors
Minimum Qualifications
Experience in model lifecycle of training, evaluation, and deployment of models
Strong understanding of Machine Learning (ML) model architectures (e.g. Transformers, CNN) and ML training loop
Strong proficiency in Python and ML framework such as PyTorch
Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience
Experience with agentic AI-assisted coding
Preferred Qualifications
Collaborative with experience working in large inter-teams projects
Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding
Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism
Experience in an LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM.
Experience in optimizing LLM models and deploying LLM models
Proficiency in a compiled programming language (e.g. Swift, C/C++, Java)
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