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Ai Model Training Jobs (NOW HIRING)

Gallatin AI, Inc.

AI Software Engineer

El Segundo, CA · On-site

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

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 ...

Gallatin AI, Inc.

AI Software Engineer

Palo Alto, CA · On-site

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

Gallatin AI, Inc.

AI Software Engineer

Austin, TX · On-site

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

Gallatin AI, Inc.

AI Software Engineer

Palo Alto, CA · On-site

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

Gallatin AI, Inc.

AI Software Engineer

El Segundo, CA · On-site

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

Ericsson GmbH

AI Model Developer

Austin, TX · On-site

$150 - $200/hr

Based in Austin, the AI Model Developer (JS5/JS6) works with researchers, software engineers, data ... Experience with distributed training or inference optimization * Knowledge of MLOps and CI/CD ...

Northern Base

Generative AI Engineer

Irving, TX · On-site

Model Training, Evaluation & Optimization * AWS, Azure, or GCP Experience Key Responsibilities: * Design, develop, and implement advanced AI solutions for complex business problems * Collaborate with ...

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How much do ai model training jobs pay per hour?

As of Sep 7, 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 is an AI model training?

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.

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 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.

Are there any legit AI model training jobs?

Yes, legitimate AI model training jobs are available in the tech industry, often requiring skills in machine learning, programming (such as Python), and data annotation. These roles can be found at technology companies, research institutions, and through reputable job boards, and may involve tasks like data labeling, model tuning, and algorithm development.

Can you get paid to train AI models?

Yes, AI model training is a paid role that involves developing and fine-tuning machine learning algorithms, often requiring skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and the complexity of the models being trained.

How do I become an AI model trainer?

To become an AI model trainer, you typically need a strong background in computer science, machine learning, or data science, often with a bachelor's or master's degree. Skills in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and understanding of data preprocessing are essential. Gaining hands-on experience through projects or internships can also improve your prospects in this role.
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Ai Model Training jobs near you
Infographic showing various Ai Model Training job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 8% Part Time, and 17% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

Applied AI Scientist, Small Language Model and AI Training

Postman

San Francisco, CA • On-site

$218K - $288K/yr

Full-time

Medical, PTO

Re-posted 2 days ago

Job description

Who Are We?
Postman is the world's leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration-enabling users to create better APIs, faster.
The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman.
P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman.
The Opportunity
As an Applied Scientist specializing in Small Language Models and AI Training, you will lead research and development efforts focused on building efficient, high-performance language models tailored for practical applications. You will work closely with research, engineering, and product teams to advance model training techniques, optimize architectures, and scale AI solutions. Your work will directly contribute to AI systems that are safe, interpretable, and impactful across diverse usage scenarios.
What You'll Do
  • Lead research and development of novel training methodologies and architectures for small and efficient language models.
  • Design, implement, and evaluate model training experiments to improve performance, robustness, and generalization of language models.
  • Collaborate closely with research scientists and engineers on scalable training pipelines and model deployment strategies.
  • Develop techniques for model compression, fine-tuning, and domain adaptation to optimize models for real-world applications.
  • Ensure AI safety, fairness, and alignment principles are integrated into model training processes and evaluated rigorously.
  • Mentor and support cross-functional teams on applied machine learning methods and best practices.
  • Evaluate and integrate new tools, frameworks, and datasets to accelerate AI training workflows.
  • Partner with product teams to translate model capabilities into actionable features aligned with user needs and ethical standards.
About You
  • Have demonstrated experience in applied research or engineering roles focused on training language models, ideally small or efficient models.
  • Strong programming skills in Python and familiarity with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Deep understanding of language model architectures, training techniques, and optimization strategies.
  • Experience with distributed training, data pipeline design, and scalable AI infrastructure.
  • Passion for AI safety, interpretability, and delivering user-centered AI technology.
  • Excellent communication skills with proven ability to collaborate across research, engineering, and product teams.
Preferred
  • Prior experience working with large and small language models in production or research settings.
  • Background in reinforcement learning, prompt engineering, or transfer learning techniques.
  • Experience with developer tools, APIs, or frameworks related to AI model integration and delivery.
  • Knowledge of AI alignment, fairness, and ethical AI training methodologies.

The reasonably estimated base salary for this role ranges from $218,500.00 to $288,000.00, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
What Else?
In addition to Postman's pay-on-performance philosophy, and a flexible schedule working with a fun, collaborative team, Postman offers a comprehensive set of benefits, including full medical coverage, flexible PTO, wellness reimbursement, and a monthly lunch stipend. Along with that, our wellness programs will help you stay in the best of your physical and mental health. Our frequent and fascinating team-building events will keep you connected, while our donation-matching program can support the causes you care about. We're building a long-term company with an inclusive culture where everyone can be the best version of themselves.
At Postman we value in person collaboration. We are in office 5 days a week for all roles based out of our hubs in San Francisco Bay Area, Boston, Austin, New York City, Tokyo and London. For roles based in Bangalore, employees currently work in the office three days a week and will transition to five days per week by the end of the year. We were thoughtful in our approach which is based on collaboration and grounded in feedback from our workforce, leadership team, and peers. The benefits of our in office model will be shared knowledge, brainstorming sessions, communication, and building trust in-person that cannot be replicated via zoom.
Our Values
At Postman, we create with the same curiosity that we see in our users. We value transparency and honest communication about not only successes, but also failures. In our work, we focus on specific goals that add up to a larger vision. Our inclusive work culture ensures that everyone is valued equally as important pieces of our final product. We are dedicated to delivering the best products we can.
Equal opportunity
Postman is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Postman does not accept unsolicited headhunter and agency resumes. Postman will not pay fees to any third-party agency or company that does not have a signed agreement with Postman.

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