NLP Research Scientist
Palo Alto, CA · On-site
Develop synthetic data pipeline/creating real data pipeline for LLM training * Develop effective methods for benchmarking, e.g., LLM-As-Judge * Collaborate closely with hardware engineers, software ...
NLP Research Scientist
Palo Alto, CA · On-site
Develop synthetic data pipeline/creating real data pipeline for LLM training * Develop effective methods for benchmarking, e.g., LLM-As-Judge * Collaborate closely with hardware engineers, software ...
Develop synthetic data pipeline/creating real data pipeline for LLM training * Develop effective methods for benchmarking, e.g., LLM-As-Judge * Collaborate closely with hardware engineers, software ...
Develop synthetic data pipeline/creating real data pipeline for LLM training * Develop effective methods for benchmarking, e.g., LLM-As-Judge * Collaborate closely with hardware engineers, software ...
Bonus if your post training work is focused on roleplay. Bonus if you have worked on latency ... You have worked on LLM infrastructure Training LLMs requires both research and engineering.
Quick apply
Bonus if your post training work is focused on roleplay. Bonus if you have worked on latency ... You have worked on LLM infrastructure Training LLMs requires both research and engineering.
... training workflows. This role requires a hands-on deep learning practitioner comfortable with modern frameworks and libraries specific to LLM development. * Enables domain-specific fine-tuning of ...
... training workflows. This role requires a hands-on deep learning practitioner comfortable with modern frameworks and libraries specific to LLM development. * Enables domain-specific fine-tuning of ...
LLM Dataset Engineer
San Francisco, CA · On-site
$155K - $210K/yr
Post-Training & Alignment Data: Lead the development of high-quality post-training datasets ... Experience building massive LLM training sets from scratch , including raw web crawls (e.g., Common ...
LLM Dataset Engineer
San Francisco, CA · On-site
$155K - $210K/yr
Post-Training & Alignment Data: Lead the development of high-quality post-training datasets ... Experience building massive LLM training sets from scratch , including raw web crawls (e.g., Common ...
Finance Lecturer (AI Training)
Atlanta, GA · On-site
$35 - $70/hr
Work on innovative AI and LLM training initiatives * Freelance autonomy and global collaboration opportunities * Potential for contract extension To Apply Now - email your resume to [email protected ...
Finance Lecturer (AI Training)
Atlanta, GA · On-site
$35 - $70/hr
Work on innovative AI and LLM training initiatives * Freelance autonomy and global collaboration opportunities * Potential for contract extension To Apply Now - email your resume to [email protected ...
Characterizing AI workloads and deep learning models aimed at large-scale LLM training and inference on NVIDIA supercomputers. The role centers on distributed systems with a focus on high-performance ...
Characterizing AI workloads and deep learning models aimed at large-scale LLM training and inference on NVIDIA supercomputers. The role centers on distributed systems with a focus on high-performance ...
Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI
San Francisco, CA · On-site
Preferred : • 5+ years of LLM training in a production environment • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc. • Publications in top ...
Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI
San Francisco, CA · On-site
Preferred : • 5+ years of LLM training in a production environment • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc. • Publications in top ...
Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI
Manhattan, NY · On-site
Preferred : • 5+ years of LLM training in a production environment • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc. • Publications in top ...
Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI
Manhattan, NY · On-site
Preferred : • 5+ years of LLM training in a production environment • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc. • Publications in top ...
Characterizing AI workloads and deep learning models aimed at large-scale LLM training and inference on NVIDIA supercomputers. The role centers on distributed systems with a focus on high-performance ...
Characterizing AI workloads and deep learning models aimed at large-scale LLM training and inference on NVIDIA supercomputers. The role centers on distributed systems with a focus on high-performance ...
... LLM training Perform advanced feature engineering and dataset curation to optimize model performance Build upstream/downstream integrations with MCP (Model Context Protocol), Knowledge Graphs, and ...
... LLM training Perform advanced feature engineering and dataset curation to optimize model performance Build upstream/downstream integrations with MCP (Model Context Protocol), Knowledge Graphs, and ...
Senior Solutions Architect, GPU Performance and LLM - Cloud Service Providers
Santa Clara, CA · On-site
... scale LLM training and inference. • Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and ...
Senior Solutions Architect, GPU Performance and LLM - Cloud Service Providers
Santa Clara, CA · On-site
... scale LLM training and inference. • Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and ...
Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI
Seattle, WA · On-site
Preferred : • 5+ years of LLM training in a production environment • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc. • Publications in top ...
New
Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI
Seattle, WA · On-site
Preferred : • 5+ years of LLM training in a production environment • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc. • Publications in top ...
New
Meticulously inspect, review, and grade LLM training data, evaluation test cases, and model outputs to ensure maximum quality and accuracy. * Maintain local development environments to run test ...
Quick apply
Meticulously inspect, review, and grade LLM training data, evaluation test cases, and model outputs to ensure maximum quality and accuracy. * Maintain local development environments to run test ...
AI QA Engineer (Multilingual)
Boston, NY · On-site
Meticulously inspect, review, and grade LLM training data, evaluation test cases, and model outputs to ensure maximum quality and accuracy. * Maintain local development environments to run test ...
AI QA Engineer (Multilingual)
Boston, NY · On-site
Meticulously inspect, review, and grade LLM training data, evaluation test cases, and model outputs to ensure maximum quality and accuracy. * Maintain local development environments to run test ...
Meticulously inspect, review, and grade LLM training data, evaluation test cases, and model outputs to ensure maximum quality and accuracy. * Maintain local development environments to run test ...
Quick apply
Meticulously inspect, review, and grade LLM training data, evaluation test cases, and model outputs to ensure maximum quality and accuracy. * Maintain local development environments to run test ...
Own the execution of key AI/LLM benchmarks, including setup, orchestration, result collection, and analysis. * Investigate and resolve issues when training jobs or benchmarks fail, hang, or ...
Own the execution of key AI/LLM benchmarks, including setup, orchestration, result collection, and analysis. * Investigate and resolve issues when training jobs or benchmarks fail, hang, or ...
Senior AI Researcher, On-Device LLM Efficiency
San Diego, CA · On-site
$159K - $238K/yr
Research and development in the area of LLM inference efficiency algorithms, efficient model architecture design, and/or LLM training * Develop creative solutions with consideration of practical ...
Senior AI Researcher, On-Device LLM Efficiency
San Diego, CA · On-site
$159K - $238K/yr
Research and development in the area of LLM inference efficiency algorithms, efficient model architecture design, and/or LLM training * Develop creative solutions with consideration of practical ...
Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks
San Francisco, CA · On-site
Description We are seeking a strong candidate who can operate end-to-end across model development and production integration-someone equally strong in (1) LLM training (domain-adaptive continual ...
Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks
San Francisco, CA · On-site
Description We are seeking a strong candidate who can operate end-to-end across model development and production integration-someone equally strong in (1) LLM training (domain-adaptive continual ...
Own the execution of key AI/LLM benchmarks, including setup, orchestration, result collection, and analysis. * Investigate and resolve issues when training jobs or benchmarks fail, hang, or ...
Own the execution of key AI/LLM benchmarks, including setup, orchestration, result collection, and analysis. * Investigate and resolve issues when training jobs or benchmarks fail, hang, or ...
Llm Training information
See salary details
$32K - $39.3K
15% of jobs
$39.3K - $46.5K
7% of jobs
$48.7K is the 25th percentile. Wages below this are outliers.
$46.5K - $53.8K
10% of jobs
$53.8K - $61.1K
11% of jobs
The median wage is $63.2K / yr.
$61.1K - $68.4K
22% of jobs
$68.4K - $75.6K
4% of jobs
$80.8K is the 75th percentile. Wages above this are outliers.
$75.6K - $82.9K
7% of jobs
$82.9K - $90.2K
7% of jobs
$90.2K - $97.5K
4% of jobs
$97.5K - $104.7K
5% of jobs
$104.7K - $112K
6% of jobs
$32K
$68.7K
$112K
How much do llm training jobs pay per year?
As of Jun 28, 2026, the average yearly pay for llm training in the United States is $68,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $84,500.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Llm Training position, and why are they important?
To excel in LLM Training, you need a strong background in machine learning, natural language processing (NLP), and computer science, often backed by an advanced degree in a related field. Experience with programming languages such as Python, frameworks like PyTorch or TensorFlow, and familiarity with data annotation tools are essential, along with knowledge of cloud platforms and distributed computing. Strong analytical thinking, effective communication, and the ability to collaborate across interdisciplinary teams set top candidates apart. These skills ensure high-quality model development, efficient project execution, and the ability to adapt to evolving AI technologies.
What types of teams or professionals does an LLM Training specialist typically collaborate with?
Professionals specializing in LLM Training often work closely with data engineers, software developers, domain experts, product managers, and quality assurance analysts. Collaboration is essential for collecting and preprocessing training data, integrating models into products, and ensuring outputs meet business and user requirements. These roles frequently participate in agile project workflows, contribute to cross-functional team meetings, and collaborate on continuous model improvements. Engaging with diverse teams expands your understanding of product goals and helps you deliver robust and reliable language models that align with organizational objectives.
What is an LLM Training job?
An LLM Training job involves developing, fine-tuning, and optimizing large language models (LLMs) to improve their performance and accuracy. This role typically includes data collection, preprocessing, model training, evaluation, and troubleshooting issues related to bias, efficiency, and scalability. Professionals in this field work with machine learning frameworks, large datasets, and computational resources to enhance AI capabilities. They may also collaborate with researchers, engineers, and product teams to deploy models for real-world applications.
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Full-time
Posted 11 days ago
Job description
OPPO Research Center is seeking a passionate and innovative Research Scientist to advance our next-generation AI hardware platforms-including AI Glass/Earphone/etc.-through cutting-edge generative AI research. You will drive the design, training, and deployment of multimodal intelligence models that seamlessly integrate language, vision and action. As part of our collaborative team, you will co-design algorithms and hardware, translate research into real-world products, and publish at top-tier AI conferences.
Requirements
Key responsibilities:
Qualifications
Minimum:
Preferred:
Benefits
OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
The US base salary range for this full-time position is $100,000-$300,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.
Requirements
Key responsibilities:
- Develop LLM model with parameter number around 1 billion, with special focus on developing innovative LLM architectures for long context memory, and in-context retrieve and generation
- Develop synthetic data pipeline/creating real data pipeline for LLM training
- Develop effective methods for benchmarking, e.g., LLM-As-Judge
- Collaborate closely with hardware engineers, software developers, and product teams to integrate research prototypes into production systems
- Publish research findings in premier AI conferences (e.g., ICLR, NeurIPS)
Qualifications
Minimum:
- Master/Ph.D. in AI, Computer Science, or a related discipline, with a focus on NLP/AI
- Strong background in generative AI, with hands-on experience developing LLM
- Practical expertise in training and optimizing large language models for both cloud and edge inference
- Excellent programming skills in Python
Preferred:
- Deeply knowing the concept of LLM context, memory, RAG, and has related experiences in those topics
- Has the experience to build LLM training dataset, and benchmark, with such proved record in publications
- Experience with large language model with parameter number around 1 billion, knowing the tradeoffs in such models
- Contributions to open-source AI projects
- Strong collaborative and communication skills
Benefits
OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
The US base salary range for this full-time position is $100,000-$300,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.