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Ai Model Jobs (NOW HIRING)

FHR

A730-Cloud Architect- AI Model (807231)

Trenton, NJ · On-site

$65.25 - $83/hr

UPDATED 7- IN PERSON INTERVIEW ONLY / Hybrid work schedule 2 days per week onsite in Trenton, NJ Our direct client has an opening for a Cloud Architect- AI Model (807231) This position is for up to 5 ...

TSMC

Senior AI Model Fine-Tuning Engineer

Austin, TX · On-site

$103K - $142K/yr

As a Senior AI Model Fine-Tuning Engineer, you will adjust the behavior and functional abilities of AI models to enhance their adaptability and intelligence, utilizing advanced techniques like prompt ...

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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How much do ai model jobs pay per hour?

As of Sep 6, 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 is an AI model?

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 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 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.

What is the easiest AI Model job to get into?

Entry-level AI model jobs often include roles such as data annotator or junior machine learning assistant, which typically require basic programming skills in Python and understanding of data labeling. These positions usually have lower experience requirements and may offer on-the-job training, making them accessible for beginners entering the AI field.
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Ai Model jobs near you
Infographic showing various Ai Model job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

A730-Cloud Architect- AI Model (807231)

FHR

Trenton, NJ • On-site

$65.25 - $83/hr

Other

Re-posted 8 days ago

Job description

Please send rates and resume to fhrzip@fhr-solutions.com. MAKE SURE YOU PUT THE JOB NUMBER IN THE SUBJECT LINE OR YOU WILL NOT GET A RESPONSE

Cloud Architect who possesses both advanced cloud engineering skills and hands-on experience supporting, configuring, and optimizing AI models and tools. *UPDATED 7- IN PERSON INTERVIEW ONLY / Hybrid work schedule 2 days per week onsite in Trenton, NJ

Our direct client has an opening for a Cloud Architect- AI Model (807231)

This position is for up to 5 months, with the option of extension, and is located in Trenton, NJ

We can work corp to corp or W2. Send rate and resume

If you are interested, please submit the following:

YOUR CURRENT RESUME

YOUR HOURLY RATE

Hands on experience creating and managing AWS IAM users, roles, policies, and permission sets Required 3 Years

Deep understanding of Cloud Governance frameworks Required 3 Years

Experience working within AWS environments, including services tied to governance and IAM such as S3, CloudTrail, CloudWatch, ECR, and Bedrock. Required 3 Years

AI/ML experience with cloud-native services and IAM impacts on model access and security. Required 3 Years

Ability to assess and implement access control models, refine roles, review trust policies, and improve permission sets across technical teams. Required 3 Years

Experience partnering with cloud governance, security, and technical teams to design, review, and enhance identity workflows. Required 3 Years

Strong documentation and communication skills. Required 3 Years