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Full Time Llm Trainer Jobs (NOW HIRING)

CVS Health

AI/LLM Engineer

Hartford, CT · On-site

$101K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Machine learning concepts (training, evaluation, overfitting, bias) * Practical experience with ... This fulltime position is eligible for a comprehensive benefits package designed to support the ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Schedule: Full-time, Monday through Friday on-site. * Compensation: $85,000 - $115,000 Key ... Lead AI education, training, and change management initiatives to increase organizational adoption ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Schedule: Full-time, Monday through Friday on-site. * Compensation: $85,000 - $115,000 Key ... Lead AI education, training, and change management initiatives to increase organizational adoption ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA · On-site

$143K - $186K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in Python and experience with AI-related training and inference tools such as PyTorch ... The US base salary range for this full-time position is $143,200.00 - $186,000.00. * Within the ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA · On-site

$143K - $186K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in Python and experience with AI-related training and inference tools such as PyTorch ... The US base salary range for this full-time position is $143,200.00 - $186,000.00. * Within the ...

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Full Time Llm Trainer information

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How much do full time llm trainer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for full time llm trainer in the United States is $36.91, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $52.88 per hour, depending on experience, location, and employer.

What is the difference between Full Time Llm Trainer vs Part Time Llm Trainer?

AspectFull Time Llm TrainerPart Time Llm Trainer
CredentialsTypically requires a law degree, specialized training in legal education, and experience in training or teachingSame as full time, but may have less extensive experience or certifications
Work EnvironmentFull-time employment, often in law schools, legal training centers, or corporate legal departmentsPart-time roles, often freelance or contractual, with flexible hours
Employer & Industry UsageCommon in academic institutions and legal training firmsUsed by law firms, legal education providers, or online training platforms

The main difference between a Full Time Llm Trainer and a Part Time Llm Trainer lies in their employment status and work hours. Full Time Llm Trainers work on a permanent basis with a consistent schedule, often within academic or corporate settings. Part Time Llm Trainers, on the other hand, have flexible schedules and may work on a contractual basis, catering to specific courses or client needs.

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Full Time Llm Trainer jobs near you
Infographic showing various Full Time Llm Trainer job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $76,772 per year, or $36.9 per hour.

NLP Research Scientist

OPPO US Research Center

Palo Alto, CA • On-site

Full-time

Re-posted yesterday

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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