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Ai Model Jobs in Texas (NOW HIRING)

Senior AI Model Fine-Tuning Engineer

Austin, TX ยท 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 ...

AI Lead Engineer

Dallas, TX ยท Remote

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI) & Machine Learning (ML) Deep Learning Generative AI (GenAI) Large Language Models (LLMs) Prompt ...

New

AI Lead Engineer

Dallas, TX ยท On-site +1

$101K - $133K/yr

Large Language Models (LLMs) * Prompt Engineering * Retrieval-Augmented Generation (RAG ... AI Model Deployment & Productionization * Security, Privacy & Responsible AI * Problem Solving ...

New

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

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Showing results 1-20

Ai Model information

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 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 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.

How to get into AI modeling?

To become an AI modeler, develop strong skills in programming languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain experience with data preprocessing and model training. A background in computer science, mathematics, or related fields, along with relevant certifications or courses, can also improve your prospects.
What are popular job titles related to Ai Model jobs in Texas? For Ai Model jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Ai Model jobs? Cities in Texas with the most Ai Model job openings:
Infographic showing various Ai Model job openings in Texas as of August 2026, with employment types broken down into 2% Internship, 67% Full Time, 14% Part Time, and 17% Contract. Highlights an 72% In-person, and 28% Remote job distribution.

AI Model Risk Validation Specialist

The Mutual Group

Dallas, TX โ€ข Hybrid

$100K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Job description

Department:

Information Technology

Job Description:

Serve as the independent validator of AI Systems, responsible for technical assessment, model risk evaluation, and ongoing monitoring of AI/ML models across The Mutual Group and its member insurance carriers.

This is a highly hands-on individual contributor role focused exclusively on AI Systems, with emphasis on predictive models impacting underwriting, claims, and decision-making. The role supports the AIS Program by providing objective, technical validation input into governance and approval decisions.

Work Arrangement:

  • Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional inoffice days.

Accountabilities:

Model Validation (Core Responsibility)

  • Perform independent validation of AI/ML models, including:

    • Model design, methodology, and assumptions

    • Training and test data quality and representativeness

    • Performance metrics, thresholds, and benchmarking

  • Review vendor-provided FactSheets and technical documentation for completeness and accuracy

Risk Assessment

  • Evaluate key model risks, including:

    • Bias and fairness

    • Explainability and interpretability

    • Model limitations and edge cases

  • Assess alignment with:

    • NAIC expectations

    • Model risk management practices

  • Identify gaps and recommend risk mitigation strategies

Governance Integration

  • Provide independent validation input into AI governance decisions

  • Support the AIS / Security Governance Team by contributing technical risk perspectives during AI system reviews

  • Act as a second-line reviewer to challenge assumptions and strengthen decision-making

Ongoing Monitoring

  • Lead twice-annual validation of AI Systems

  • Monitor predictive models for:

    • Drift

    • Stability

    • Performance degradation

  • Ensure monitoring practices align with AIS Program requirements

  • Recommend corrective actions when performance or risk thresholds are breached

Documentation & Audit Support

  • Maintain model validation documentation for:

    • Internal audit

    • Regulatory review

  • Ensure validation results are:

    • Clearly documented

    • Traceable and reproducible

  • Support inquiries with technical analysis and evidence

Qualifications:

  • 5+ years in data science, model risk management, or AI/ML validation

  • Experience working with predictive models in regulated environments (insurance or financial services preferred)

  • Strong understanding of:

    • Machine learning models and statistical techniques

    • Model evaluation and validation methodologies

    • Bias and fairness concepts

    • Model lifecycle management

  • Familiarity with:

    • NAIC AI Model Bulletin

    • NIST AI RMF

    • Model governance and validation standards

  • Ability to translate technical findings into business and risk implications

Pay Range:

Anticipated Hiring Range:

  • $100,000 - $135,000 annual base salary depending on experience, qualifications, and geographic location

Benefits:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • Competitive base salary plus incentive plans for eligible team members

  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary

  • Free basic life and AD&D, long-term disability and short-term disability insurance

  • Medical, dental and vision plans to meet your unique healthcare needs

  • Wellness incentives

  • Generous time off program that includes personal, holiday and volunteer paid time off

  • Flexible work schedules and hybrid/remote options for eligible positions

  • Educational assistance

Equal Opportunity Employer

The Mutual Groupis an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

  • Know Your Rights: Workplace Discrimination is Illegal

  • Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contactTalent@themutualgroup.com.

Employment Verification

The Mutual Group participates in theE-Verifyprogram and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected fromemployment discriminationbased on your citizenship status and national origin.

E-Verify Program Overview

E-Verify Participation Poster

All offers of employment are contingent upon the successful completion of a background check.

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