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Ai Model Training Jobs (NOW HIRING)

Broward Health

AI Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

The role involves designing and maintaining data pipelines for AI model training and developing autonomous AI applications to enhance various operational processes. Responsibilities : • Design ...

Pareto AI

Applied AI Engineer

$225K - $275K/yr

Design and build the pipelines that generate synthetic tasks and evaluation environments for AI model training - this is the factory floor of AI development, producing training fuel for next ...

Merlin Labs

Lead AI Dataloop and Release Engineer

Boston, MA · On-site

$111K - $146K/yr

You are a software leader who thrives in enabling deployment of Next-gen AI models through a comprehensive data strategy for AI model training, simulation and deployment .You have a technically ...

Futran Tech Solutions Pvt. Ltd.

AI Engineer

Support data ingestion, processing, and retrieval mechanisms to enable efficient AI model training and inference. Work closely with domain experts to ensure compliance with healthcare regulations and ...

Orion Innovation

AI Engineer

Edison, NJ

Analyze and preprocess data to ensure its suitability for AI model training and testing. * Stay updated with the latest AI advancements and integrate them into projects as appropriate. * Debug ...

Orion Innovation

AI Engineer

Edison, NJ · On-site

... model training and testing. • Stay updated with the latest AI advancements and integrate them into projects as appropriate. • Debug, troubleshoot, and resolve issues in AI solutions during ...

Globe Telecom, Inc.

AI Cloud Engineer

Globe, AZ

$53 - $70.75/hr

AI Integration & Model Deployment * Work closely with AI teams to build and manage cloud-based environments for AI model training, validation, and deployment. * Develop and maintain CI/CD pipelines ...

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How much do ai model training jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for ai model training in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 per hour, depending on experience, location, and employer.

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

To excel in AI Model Training, you need a strong background in machine learning, programming (especially Python), data analysis, and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and certifications in AI or data science are highly advantageous. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively make candidates stand out. These competencies are crucial for developing accurate, efficient AI models and collaborating seamlessly within multidisciplinary teams.

What are the typical work responsibilities of someone in AI Model Training?

Professionals in AI Model Training are typically responsible for collecting, preparing, and processing large datasets, designing and implementing machine learning models, and evaluating their performance using statistical methods. You may work closely with data engineers, software developers, and product managers to ensure models meet business objectives and integrate smoothly into existing systems. Regular responsibilities also include tuning hyperparameters, troubleshooting model issues, and staying up-to-date with the latest advancements in AI. This role often involves a mix of independent technical work and collaborative problem-solving sessions with the broader team.

What is an AI Model Training job?

An AI Model Training job involves preparing, training, and optimizing machine learning models using data. Professionals in this role preprocess datasets, select appropriate algorithms, adjust model parameters, and evaluate performance to improve accuracy. They work with frameworks like TensorFlow or PyTorch and may fine-tune models for specific tasks such as image recognition or natural language processing. This job requires expertise in data science, programming, and statistical analysis to ensure models perform efficiently in real-world applications.

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Ai Model Training jobs near you
Infographic showing various Ai Model Training job openings in the United States as of June 2026, with employment types broken down into 11% Internship, 45% Full Time, 22% Part Time, and 22% Contract. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $65,246 per year, or $31.4 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 4 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 141 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.

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