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Full Time Llm Training Jobs (NOW HIRING)

Hark

Member of Technical Staff, Mid-training

San Jose, CA · On-site

$180K - $450K/yr

Experience with mid-training, post-training, or agent-focused model development or coding LLM ... Compensation The US base salary range for this full-time position is between $180,000 - $450,000 ...

Hark

Member of Technical Staff, Mid-training

San Jose, CA · On-site

$180K - $450K/yr

Experience with mid-training, post-training, or agent-focused model development or coding LLM ... Compensation The US base salary range for this full-time position is between $180,000 - $450,000 ...

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Full Time Llm Training information

What is the difference between Full Time Llm Training vs Legal Assistant?

AspectFull Time Llm TrainingLegal Assistant
Required CredentialsLaw degree, often an LLMParalegal certification or associate degree
Work EnvironmentAcademic, research-focused, or specialized legal practiceLaw firms, corporate legal departments, courts
Employer & Industry UsageLegal academia, specialized legal fieldsLegal service providers, law firms, government agencies

Full Time Llm Training is an advanced legal education program for those seeking specialization or academic careers, while Legal Assistants support lawyers with administrative and research tasks. Both roles are integral to the legal industry but differ in credentials, responsibilities, and work settings.

What are some common challenges faced by professionals working in full time LLM training roles?

Professionals in full-time LLM training roles often encounter challenges such as managing large-scale datasets, optimizing model performance, and ensuring responsible AI practices. The work typically involves collaborating closely with data engineers, researchers, and software developers to preprocess data, fine-tune models, and evaluate outputs. Additionally, staying updated with rapidly evolving technologies and addressing issues like data bias and computational resource limitations are important aspects of the role. Effective communication and adaptability are key to thriving in this dynamic environment.

What is a full time LLM training position?

A Full Time LLM Training position refers to a role focused on the training and development of large language models (LLMs), such as GPT or BERT, within a company or research organization. Individuals in this position work on preparing datasets, tuning model parameters, running training sessions, and evaluating model performance. The job typically requires strong skills in machine learning, natural language processing, and software engineering, as well as familiarity with cloud computing and large-scale data processing. People in this role play a crucial part in advancing AI capabilities by continually improving the quality and efficiency of language models.

What are the key skills and qualifications needed to thrive as a full time LLM training specialist?

To thrive as a Full-Time LLM Training Specialist, you need a strong background in machine learning, natural language processing, and large language model architectures, often supported by a degree in computer science or a related field. Familiarity with deep learning frameworks (such as PyTorch or TensorFlow), distributed computing systems, and version control tools is typically required. Strong analytical thinking, communication skills, and the ability to collaborate cross-functionally help individuals excel in this role. These skills ensure effective development, training, and optimization of sophisticated language models that meet organizational objectives.
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The most popular types of Llm Training jobs are:

What states have the most Full Time Llm Training jobs?

States with the most job openings for Full Time Llm Training jobs include:

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Full Time Llm Training jobs near you
Infographic showing various Full Time Llm Training job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

NLP Research Scientist

OPPO US Research Center

Palo Alto, CA

Full-time

Re-posted 15 hours 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:

  • 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.

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