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Training Ai Models Jobs in Texas (NOW HIRING)

Kaspar Companies

AI Specialist

Shiner, TX · On-site

This role is responsible for training AI models, implementing AI solutions, and enhancing manufacturing processes through innovative technologies. Responsibilities : • Train and refine AI models ...

Kaspar Companies

Kaspar Companies: AI Specialist

Shiner, TX

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Based in Shiner, TX, this role is responsible for training AI models, implementing AI solutions, and enhancing manufacturing processes through innovative technologies. This position requires a tech ...

Kaspar Companies

Kaspar Companies: AI Specialist

Shiner, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Based in Shiner, TX, this role is responsible for training AI models, implementing AI solutions, and enhancing manufacturing processes through innovative technologies. This position requires a tech ...

Tror AI for everyone

AI Architect

Dallas, TX · On-site

$62.25 - $82/hr

Applied machine learning knowledge (model selection, training, tuning) * Strong understanding of machine learning concepts and model lifecycle * Proficiency in Python for AI/ML solution development

micro1 AI

AI Training Specialist - Life Sciences

Waco, TX · Remote

$90 - $120/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Provide detailed scientific input and content to support the development and training of AI models.

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Training Ai Models information

What is a training AI model?

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 are common challenges faced when training AI models, and how are they addressed?

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 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, and often involves working with labeled datasets, coding, and understanding AI frameworks.

How to become a training AI models?

To become a training AI models professional, develop strong skills in programming languages like Python, understand machine learning algorithms, and gain experience with data preprocessing and model evaluation. Familiarity with frameworks such as TensorFlow or PyTorch and a background in computer science or data science are also important. Certifications or courses in AI and machine learning can enhance your qualifications.

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 skills in languages like Python and tools such as TensorFlow or PyTorch. They often require knowledge of data preprocessing, model evaluation, and experience with large datasets.

What are the most commonly searched types of Training Ai Models jobs in Texas?

The most popular types of Training Ai Models jobs in Texas are:

What are popular job titles related to Training Ai Models jobs in Texas?

For Training Ai Models jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Training Ai Models jobs in Texas look for?

The top searched job categories for Training Ai Models jobs in Texas are:

What cities in Texas are hiring for Training Ai Models jobs?

Cities in Texas with the most Training Ai Models job openings:

Training Ai Models jobs near you
Infographic showing various Training Ai Models job openings in Texas as of August 2026, with employment types broken down into 64% Full Time, 10% Part Time, and 26% Contract. Highlights an 65% In-person, and 35% Remote job distribution.

AI Specialist

Kaspar Companies

Shiner, TX • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Kaspar Companies is seeking a full-time AI Specialist to lead their AI-driven initiatives. This role is responsible for training AI models, implementing AI solutions, and enhancing manufacturing processes through innovative technologies.
Responsibilities:
• Train and refine AI models using complex scenarios; evaluate outputs for accuracy and logic.
• Implement AI solutions to optimize manufacturing processes and improve efficiency.
• Ensure secure and effective operations of AI tools and systems.
• Collaborate with cross-functional teams to transform business workflows.
• Monitor AI performance metrics and identify continuous improvement opportunities.
• Solve technical issues related to AI and propose enhancements.
• Document procedures and AI system processes.
• All other duties as assigned by management.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Information Technology, or related disciplines.
• Strong problem-solving and analytical skills.
• Excellent verbal and written communication.
• Ability to collaborate with cross-functional teams.
• Self-motivated with strong project management skills.
• Adaptable and driven by innovation.
• IT experience in business process transformation preferred.
• Intermediate knowledge of manufacturing operations.
• Ability to manage multiple initiatives in a dynamic environment.
Company:
Kaspar Companies is a building material provider company. Founded in 1898, the company is headquartered in Shiner, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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