ZipRecruiter

Log In

1

Training Ai Models Jobs (NOW HIRING)

Biohub

Staff Research Scientist, AI Safety

New York, NY · On-site +1

$241K - $301K/yr

Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency ...

YO IT Consulting

C++ Developer - Remote

$50.25 - $67.50/hr

The role involves designing, optimizing, and training AI models while collaborating with engineers and researchers to implement robust backend solutions. Responsibilities : • Develop and maintain ...

YO IT Consulting

C++ Developer - Remote

$50.25 - $67.50/hr

The role involves designing, optimizing, and training AI models while collaborating with engineers and researchers to implement robust backend solutions. Responsibilities : • Develop and maintain ...

Jobs for Humanity

Speakers/Writers

Rockford, IL · On-site

$15 - $60/hr

You will play a pivotal role in training AI models,ensuring the accuracy and relevance of Arabic content generated byAI. This position allows for flexible scheduling, and yourcontributions will ...

Jobs for Humanity

Speakers/Writers

Kansas City, MO · On-site

$15 - $60/hr

You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Arabic content generated by AI. This position allows for flexible scheduling, and your contributions will ...

Jobs for Humanity

Speakers/Writers

Vancouver, WA

$15 - $60/hr

You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Arabic content generated by AI. This position allows for flexible scheduling, and your contributions will ...

Unconventional AI

AI Systems, Training

Palo Alto, CA · On-site

$123K - $168K/yr

They are seeking a key contributor to build a next-generation ML model training platform and co-design training systems alongside novel AI models and hardware. Responsibilities : • Build and ...

VSimplifyIT

Python Chatbot Developer (1099 Contractor)

$51.50 - $71/hr

Familiarity training AI models including reinforcement learning methodologies * Passion for leveraging NLP and chatbots to improve CX and EX * Eligibility to work in a 1099 capacity with no employer ...

next page

Showing results 1-20

All JobsTraining Ai Models Jobs

Training Ai Models information

See salary details

$15

$42

$77

How much do training ai models jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for training ai models in the United States is $42.21, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $53.85 per hour, depending on experience, location, and employer.

What are some common challenges faced when training AI models, and how are they addressed on the job?

One of the most common challenges in training AI models is handling large, complex datasets that often contain errors or inconsistencies, which can impact model performance. Professionals in this role frequently collaborate with data engineers and subject matter experts to clean and properly label data, as well as implement quality assurance checks throughout the process. Additionally, tuning model parameters and addressing issues such as overfitting or underfitting often require experimentation and iterative testing. Most teams employ version control and hold regular review sessions to ensure best practices are followed, making collaboration and communication essential parts of overcoming these challenges.

What is a Training AI Models job?

A Training AI Models job involves developing, refining, and optimizing machine learning models by providing them with relevant data, adjusting parameters, and evaluating their performance. Professionals in this role clean and preprocess data, select appropriate algorithms, and fine-tune models for accuracy and efficiency. They may also work with engineers and researchers to ensure models generalize well to real-world applications. The goal is to create AI systems that perform specific tasks effectively, such as natural language processing, image recognition, or predictive analytics.

What job trains AI models?

A job that trains AI models is typically called an AI/ML engineer or data scientist. These roles involve developing, testing, and refining machine learning algorithms using programming languages like Python and tools such as TensorFlow or PyTorch. Strong analytical skills, knowledge of data preprocessing, and experience with model evaluation are essential for this work.

How much do AI model trainers make?

AI model trainers typically earn between $70,000 and $130,000 annually, depending on experience, location, and the complexity of the models they work on. Salaries can vary based on industry, company size, and whether the role requires specialized skills in machine learning frameworks or data annotation.

What are the key skills and qualifications needed to thrive in the Training Ai Models position, and why are they important?

To thrive in Training AI Models, you need strong programming skills in languages like Python, a solid understanding of machine learning concepts, and typically a degree in computer science, data science, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and familiarity with data preprocessing and annotation tools are commonly required; certifications in AI or data science can be advantageous. Effective communication, keen attention to detail, and collaboration are vital soft skills for working with cross-functional teams and ensuring data quality. These abilities are crucial for developing accurate models, delivering impactful AI solutions, and maintaining high standards throughout the model development lifecycle.

Can you get paid to train AI models?

Training AI models is a job that can be paid, especially for roles such as AI trainers, data annotators, or machine learning engineers. Compensation varies based on experience, location, and the complexity of the tasks, often involving remote work and specialized skills like data labeling and understanding AI frameworks.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, senior machine learning engineers, or AI executives, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leading projects, developing innovative models, and managing teams in tech companies or research institutions. Compensation at this level reflects the complexity and impact of the work, as well as the company's size and industry demand.
More about Training Ai Models jobs
What cities are hiring for Training Ai Models jobs? Cities with the most Training Ai Models job openings:
What are the most commonly searched types of Training Ai Models jobs? The most popular types of Training Ai Models jobs are:
What states have the most Training Ai Models jobs? States with the most job openings for Training Ai Models jobs include:
What job categories do people searching Training Ai Models jobs look for? The top searched job categories for Training Ai Models jobs are:
Training Ai Models jobs near you
Infographic showing various Training Ai Models job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 20% In-person, and 80% Remote job distribution, with an average salary of $87,800 per year, or $42.2 per hour.
Sr. Staff Engineer, AI Models and Applications

Sr. Staff Engineer, AI Models and Applications

Advanced Micro Devices, Inc

San Jose, CA • On-site

$178K/yr

Full-time

Posted 3 days ago

Key responsibilities

  • Propose and apply innovative techniques to support both training and inferencing for Generative AI models, including transformer architectures, parallelism strategies, and low-precision training.

  • Implement novel efficient architectures for Generative AI models for training and inference and showcase benefits on AMD.

  • Work with open-source frameworks and community to integrate AMD optimized models, libraries, and publish training recipes.

Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

22nd of 139 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
The AI Models and Applications team at AMD is looking for a specialized Sr. Staff or Principal level engineer who is passionate about enabling innovative and efficient Generative AI training/inferencing at scale. You will be part of a core team of incredibly talented specialists and work on scaling training and inference for the latest Generative AI models.
THE PERSON:
The ideal candidate has deep technical understanding of the latest generative AI applications like large language models (LLMs), large multimodal models (LMMs), image/video generation, has experience training models at scale and is passionate about innovating efficient approaches to enable distributed training and inference at scale on AMD devices.
Why Join Us?
  • Exciting Opportunities: As a Senior member on the team, you will be at the forefront of innovation, working with the latest Gen AI models and algorithms. You will have the opportunity to shape the future of AI model training and inference optimizations across a variety of applications.
  • Talented Team: Join a team of highly skilled industry specialists who are passionate about pushing the boundaries of AI. Collaborate with like-minded professionals and learn from the best in the field.
  • Cutting-edge Technology: Work with state-of-the-art GenAI algorithms and software enabling you to stay ahead of the curve and drive advancements in AI model training at Scale and deployment.
  • Impactful Work: Your contributions will directly influence how cutting-edge gen AI models across the industry are efficiently trained at scale as well as inferencing deployed to serve millions of customers, making a significant difference in various industries and applications.

KEY RESPONSIBILITIES:
  • Propose and apply innovative techniques to support both training and inferencing including innovative transformer architectures, parallelism strategies to train on large clusters, low-precision training.
  • Implement novel efficient architectures for Generative AI models for training and inference and showcase benefits on AMD
  • Work with open-source framework and community (e.g., PyTorch, JAX, Hugging Face) to integrate AMD optimized models, libraries and publish training recipes.
  • Collaborate with software and hardware team to E2E co-optimize performance on current and future AMD solutions.
  • Publish and promote your work within AMD and at external venues.

PREFERRED EXPERIENCE:
  • Strong technical expertise in Gen AI model training and inference, and familiarity working with deep learning frameworks like PyTorch/JAX.
  • Strong technical expertise in algorithmic innovation towards efficient Gen AI application for both training and inferencing.
  • Expertise/publications in one of the areas preferred - efficient model architectures, optimized training, innovative parallelism strategies or low-precision training.
  • Additional plus if publications include conferences such as NeuRIPS, CVPR, ECCV/ICCV, ICML, ICLR, etc.
  • Experience productizing generative AI models and training foundation model at Scale
  • Excellent written, verbal, and presentation skills, ability to coordinate internally and externally.
  • Several years of experience in AI, deep learning and related software development.

ACADEMIC CREDENTIALS:
PhD or master's degree or above; with major in CS, EE, Mathematics, or a related field.
LOCATION:
San Jose, CA (Hybrid).
Can also consider Seattle or Austin locations (Hybrid)
#LI-MV1
#LI-HYBRID
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

Apply