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Full Time Llm Trainer Jobs (NOW HIRING)

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

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

$85K - $115K/yr

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

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

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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$15

$36

$92

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

As of Jul 16, 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.

More about Full Time Llm Trainer jobs
What cities are hiring for Full Time Llm Trainer jobs? Cities with the most Full Time Llm Trainer job openings:
What are the most commonly searched types of Llm Trainer jobs? The most popular types of Llm Trainer jobs are:
What job categories do people searching Full Time Llm Trainer jobs look for? The top searched job categories for Full Time Llm Trainer jobs are:
Full Time Llm Trainer jobs near you
Infographic showing various Full Time Llm Trainer job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $76,772 per year, or $36.9 per hour.

Machine Learning Engineer - LLM, AI & Robotics

XPENG

Santa Clara, CA • On-site

Full-time

Re-posted 16 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
Job Responsibilities
  • Fine-tune the pre-trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g. chat, API calling, etc.
  • Work on efficient LLMs (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in Robots and Cars.
  • Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production.
  • Work on efficient and effective ways to leverage large scale dataset and computational resource.
  • Explore novel ways to generate synthetic data to improve the data diversity & quality.
  • Communicate and align with different teams on product needs across the company

Minimum Skill Requirements:
  • Ph.D in Computer Science or related fields.
  • Solid background in machine learning, natural language processing (NLP), computer vision,
    speech or data.
  • Experience in working with LLMs
  • Strong python programming skills & software development, and strong experience with any
    major deep learning framework.
  • Open-minded, collaborative and excellent communication skills

Preferred Skill Requirements:
  • Deep understanding of language model modern architectures, 'under the hood' LLM training knowledge, quantization techniques, etc.
  • Familiarity of large language models (LLMs) relevant technologies, such as SFT, RLHF, prompt engineering, RAG, etc.
  • Record of publications, innovations or leadership.

What do we provide:
  • A fun, supportive and engaging environment
  • Opportunity to make significant impact on transportation revolution by the means of
    advancing autonomous driving
  • Opportunity to work on cutting edge technologies with the top talent in the field
  • Competitive compensation package
  • Snacks, lunches, and fun activities

The base salary range for this full-time position is $148,909 - $252,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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