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Ai Model Jobs (NOW HIRING)

TSMC

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ

$128K - $176K/yr

Senior AI Model Fine-Tuning Engineer A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona's first fab will operate it ...

TSMC

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

Senior AI Model Fine-Tuning Engineer A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona's first fab will operate it ...

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Ai Model information

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How much do ai model jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for ai model 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 job makes AI models?

Data scientists, machine learning engineers, and AI researchers are common jobs that develop and build AI models. These roles involve designing algorithms, training models using large datasets, and utilizing tools like Python, TensorFlow, or PyTorch. Strong programming skills and knowledge of statistics are essential for creating effective AI models.

How to become an AI model?

To become an AI model developer, you should gain a strong foundation in programming languages like Python, study machine learning and deep learning concepts, and work with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects and obtaining relevant certifications can also enhance your skills and employability in this field.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

How much do AI models get paid?

AI model developers and researchers typically earn between $80,000 and $150,000 annually, depending on experience, location, and the complexity of the models they work on. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, often exceeding $200,000. Compensation may also include bonuses, stock options, and benefits based on the employer and industry sector.

What are some common challenges faced by professionals working as AI Model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What are AI models?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

What are the key skills and qualifications needed to thrive as an AI Model, and why are they important?

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms, with compensation reflecting expertise and impact.
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Ai Model jobs near you
Infographic showing various Ai Model job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 60% In-person, 7% Hybrid, and 33% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

Staff Software Engineer, AI Model Lifecycle

Crusoe

Sunnyvale, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Be an early applicant

Job description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About This Role:

The Staff Software Engineer for the AI Model Lifecycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs).

What You’ll Be Working On:

  • Manage fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling.

  • Implement and maintain end-to-end training pipelines for Large Language Models.

  • RFT and Reinforcement learning to the fine tuning and training sections

  • Distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling).

  • Dataset, model, and experiment management: versioning, lineage, evaluation, and reproducible fine-tuning at scale.

What You’ll Bring to the Team:

  • Advanced degree in Computer Science, Engineering, or a related field.

  • 8+ years of industry experience leading and driving impactful projects in the AI Space

  • Experience in Generative AI (Large Language Models, Multimodal).

  • Hands-on experience training, fine-tuning, and aligning LLMs using Reinforcement Learning and Reinforcement Fine-Tuning (RFT) techniques.

  • Proactive and collaborative approach with the ability to work autonomously.

  • Passion for building cutting-edge AI products and solving challenging technical problems.

Bonus Points:

  • Proficiency in Golang or Python for large-scale, production-level services and PyTorch.

  • Contributions to open-source AI projects such as vLLM or similar frameworks.

  • Performance optimizations on GPU systems and inference frameworks.

Benefits:

  • Competitive compensation

  • Restricted Stock Units

  • Paid time off & paid holidays

  • Comprehensive health, dental & vision insurance

  • Employer contributions to HSA account

  • Paid parental leave

  • Paid life insurance, short-term and long-term disability

  • Professional development & tuition reimbursement

  • Mental health & wellness support

  • Commuter benefits (parking & transit)

  • Cell phone stipend

  • 401(k) Retirement plan with company match up to 4% of salary

  • Volunteer time off

Compensation Range

Compensation will be paid in the range of up to $208,725 - $279,565 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.