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Ai Model Training Jobs in Texas (NOW HIRING)

Gallatin AI, Inc.

AI Software Engineer

Austin, TX · On-site

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

Gallatin AI, Inc.

AI Software Engineer

Austin, TX · On-site

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

Delan Associates, Inc.

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker * Kubernetes * REST APIs & Microservices * Cloud Platforms (Azure / AWS / GCP) * AI Model ...

Delan Associates, Inc

AI Lead Engineer

Dallas, TX · Remote

$101K - $133K/yr

... Model Training, Validation & Evaluation Statistics & ML Algorithms MLOps CI/CD Pipelines Docker Kubernetes REST APIs & Microservices Cloud Platforms (Azure / AWS / GCP) AI Model Deployment ...

Doist

AI Lead Engineer

Dallas, TX · On-site

$150 - $210/hr

Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker * Kubernetes * REST APIs & Microservices * Cloud Platforms (Azure / AWS / GCP) * AI Model ...

New

Mercor

Finance Specialist - AI Trainer

Dallas, TX · Remote

$80 - $120/hr

Develop and refine AI model training to improve reasoning in financial contexts. Qualifications Must-Have * Bachelor's degree in Finance, Accounting, or a related field. * Strong financial-modeling ...

New

The Mutual Group

AI Model Risk Validation Specialist

Dallas, TX · Hybrid

$100K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The initial training period may require additional inoffice days. Accountabilities: Model Validation (Core Responsibility) * Perform independent validation of AI/ML models, including: * Model design ...

NTT DATA Services

AI Architect

Dallas, TX · On-site

AI Architect Experience level: 10 + years Job Summary We are seeking an experienced AI Architect to ... Define the end-to-end blueprints spanning data ingestion, model training, inference, and continuous ...

NTT DATA Services

AI Architect

Dallas, TX

AI Architect Experience level: 10 + years Job Summary We are seeking an experienced AI Architect to ... Define the end-to-end blueprints spanning data ingestion, model training, inference, and continuous ...

NTT DATA Services

AI Architect

Dallas, TX · On-site

AI Architect Experience level: 10 + years Job Summary We are seeking an experienced AI Architect to ... Define the end-to-end blueprints spanning data ingestion, model training, inference, and continuous ...

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All JobsAi Model Training JobsAi Model Training Jobs in Texas

Ai Model Training information

What are the key skills and qualifications needed to thrive in the AI model training position, and why are they important?

To excel in AI Model Training, you need a strong background in machine learning, programming (especially Python), data analysis, and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and certifications in AI or data science are highly advantageous. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively make candidates stand out. These competencies are crucial for developing accurate, efficient AI models and collaborating seamlessly within multidisciplinary teams.

What are the typical work responsibilities of someone in AI model training?

Professionals in AI Model Training are typically responsible for collecting, preparing, and processing large datasets, designing and implementing machine learning models, and evaluating their performance using statistical methods. You may work closely with data engineers, software developers, and product managers to ensure models meet business objectives and integrate smoothly into existing systems. Regular responsibilities also include tuning hyperparameters, troubleshooting model issues, and staying up-to-date with the latest advancements in AI. This role often involves a mix of independent technical work and collaborative problem-solving sessions with the broader team.

What is an AI model training?

An AI Model Training job involves preparing, training, and optimizing machine learning models using data. Professionals in this role preprocess datasets, select appropriate algorithms, adjust model parameters, and evaluate performance to improve accuracy. They work with frameworks like TensorFlow or PyTorch and may fine-tune models for specific tasks such as image recognition or natural language processing. This job requires expertise in data science, programming, and statistical analysis to ensure models perform efficiently in real-world applications.

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

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

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

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

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

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

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

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

Ai Model Training jobs near you
Infographic showing various Ai Model Training job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

AI Software Engineer

Gallatin AI, Inc.

Austin, TX • On-site

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Gallatin AI, Inc. is focused on transforming logistics infrastructure for national security missions. They are seeking an AI Software Engineer to develop and deploy AI-powered solutions, working across the full AI/ML lifecycle and collaborating with cross-functional teams.
Responsibilities:
• Build and Deploy AI/ML Models
• Own and develop an AI model aligned with our core product needs within the first three months.
• Validate AI-driven product features through real-world testing and feedback from warfighters.
• Establish scalable MLOps pipelines and real-time inference services to streamline model training, deployment, runtime, and monitoring.
• Own high model reliability and uptime by implementing monitoring across your work.
• Identify and integrate structured, unstructured, real-time, and batch data sources.
• Work with internal logs, APIs, user interactions, and third-party datasets to improve model training quality.
• Stay ahead of AI trends and emerging technologies to improve model performance.
• Document and share best practices for AI/ML development.
• Contribute to the hiring and mentoring of AI/ML talent as we grow our team.
• Teach the wider team about the latest trends and significance in novel approaches in AI.
Qualifications:
Required:
• Strong Programming Skills: Expertise in at least one: Python, C++, or C.
• ML Framework Proficiency: Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic, Mistral), LangChain, Retrieval-Augmented Generation (RAG), Hugging Face, Exo Labs.
• MLOps & Data Engineering Knowledge: Experience with data processing and pipeline frameworks such as Apache Kafka, Apache Airflow, AWS Kinesis, pandas, and dbt. Understanding of AI model performance monitoring, data drift detection, and observability tools like Grafana or Kibana.
• AI Fundamentals & Security Awareness: Deep understanding of deep neural networks (DNNs), LLMs, over/underfitting, prompt engineering, and LLM security (jailbreaking risks and protections).
• Growth Mindset: Passion for continuous learning and staying current with the latest advancements in AI/ML, as well as teaching others.
Preferred:
• Experience mentoring and upskilling junior engineers.
• Familiarity with legacy systems and working with public sector customers.
• Contributions to open-source (AI/ML) projects.
Company:
Gallatin is building a logistics platform based on the needs and constraints of today's defense industry. Founded in 2024, the company is headquartered in El Segundo, USA, with a team of 11-50 employees. The company is currently Early Stage.

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