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Ai Model Jobs in Texas (NOW HIRING)

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 ...

YO AI Labs

AI Finance Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Provide detailed feedback to improve AI model performance and financial reasoning. Required Skills * Critical Thinking * Analytical Reasoning * Quality Assurance * Prompt Engineering * AI Output ...

YO AI Labs

English Language Expert - Remote

Austin, TX · Remote

$30 - $50/hr

You will help improve AI models by assessing responses for accuracy, clarity, linguistic quality, reasoning, and adherence to prompts . The role requires strong language expertise, analytical ...

YO AI Labs

English Language Expert - Remote

Dallas, TX · Remote

$30 - $50/hr

You will help improve AI models by assessing responses for accuracy, clarity, linguistic quality, reasoning, and adherence to prompts . The role requires strong language expertise, analytical ...

YO AI Labs

English Language Expert - Remote

Houston, TX · Remote

$30 - $50/hr

You will help improve AI models by assessing responses for accuracy, clarity, linguistic quality, reasoning, and adherence to prompts . The role requires strong language expertise, analytical ...

Pereview Software

AI Engineer

Dallas, TX · On-site

... Language Models (LLMs), document processing pipelines, Retrieval-Augmented Generation (RAG ... Ifyou'repassionate about applying AI to real-world business problems, enjoy building scalable ...

Winaxis

AI Engineer

Dallas, TX · On-site

Integrate AI models with web applications and REST APIs. * Perform prompt engineering and optimize AI model outputs. * Work with structured and unstructured data for AI applications. * Debug, test ...

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All JobsAi Model JobsAi Model Jobs in Texas

Ai Model information

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.

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 job categories do people searching Ai Model jobs in Texas look for?

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

What cities in Texas are hiring for Ai Model jobs?

Cities in Texas with the most Ai Model job openings:

Ai Model jobs near you
Infographic showing various Ai Model job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Generative AI Engineer

Northern Base

Irving, TX • On-site

Full-time

Posted 20 days ago

Job description

Hiring Alert | Generative AI Engineer

Location: Irving, TX (Onsite)
Employment Type: Full-Time
Experience Required: 6+ Years
Visa Type: USC / GC Only

Interview Mode: In-person (Final Round)

Must-Have Skills:

  • Python Programming with Major ML Libraries
  • Open-Source Generative AI LLMs, including Llama and Dolly
  • Machine Learning, NLP & Deep Learning
  • Neural Networks & Transformer Architectures
  • Generative AI Techniques
  • GANs & Text-to-Image Generation
  • Text Generation Models
  • SQL & Data Wrangling
  • Data Cleaning & Feature Engineering
  • Model Training, Evaluation & Optimization
  • AWS, Azure, or GCP Experience

Key Responsibilities:

  • Design, develop, and implement advanced AI solutions for complex business problems
  • Collaborate with engineers, researchers, and product managers to translate business requirements into AI solutions
  • Gather, clean, and prepare high-quality data for model training and evaluation
  • Implement advanced deep learning, NLP, computer vision, and Generative AI techniques
  • Evaluate AI model architectures and hyperparameters for performance optimization
  • Address model bias and support responsible AI development

Good-to-Have:

  • On-premises and cloud development experience
  • CI/CD experience
  • Experience with state-of-the-art AI/ML techniques
  • Strong understanding of ethical AI and responsible model development

Education:

  • Bachelor's Degree in Computer Science or related field