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Software Engineer Ai Model Training Jobs in Texas

THOMSON REUTERS

Lead Software Engineer, AI

Frisco, TX · Hybrid

Lead Software Engineer, AI Are you passionate about building AI-driven software that transforms how ... Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the ...

Gallatin AI, Inc.

AI Software Engineer

Austin, TX · On-site

They are seeking an AI Software Engineer to develop and deploy AI-powered solutions, working across ... model training, deployment, runtime, and monitoring. • Own high model reliability and uptime by ...

Gallatin AI, Inc.

AI Software Engineer

Austin, TX · On-site

They are seeking an AI/ML Software Engineer to develop and deploy AI-powered solutions, working ... model training, deployment, runtime, and monitoring. • Own high model reliability and uptime by ...

KLA Corporation

Software Engineer (AI/ML)

Austin, TX · On-site

... AI Engineer to develop next-generation artificial intelligence and machine learning solutions ... Develop software systems supporting model training, validation, deployment, and inference workflows.

KLA Corporation

Software Engineer (AI/ML)

Austin, TX

... AI Engineer to develop next-generation artificial intelligence and machine learning solutions ... Develop software systems supporting model training, validation, deployment, and inference workflows.

Ericsson

AI Model Developer

Austin, TX · On-site

Based in Austin, Texas, the AI Model Developer (JS5/JS6) works alongside researchers, software ... Experience with distributed training or inference optimization * Knowledge of MLOps and CI/CD ...

KLA Corporation

Software Engineer (AI/ML)

Austin, TX · On-site

... AI Engineer to develop next-generation artificial intelligence and machine learning solutions ... Develop software systems supporting model training, validation, deployment, and inference workflows.

Orbotech

Software Engineer (AI/ML)

Austin, TX · On-site

... AI Engineer to develop next-generation artificial intelligence and machine learning solutions ... Develop software systems supporting model training, validation, deployment, and inference workflows.

KLA

Software Engineer (AI/ML)

Austin, TX · On-site

... AI Engineer to develop next-generation artificial intelligence and machine learning solutions ... Develop software systems supporting model training, validation, deployment, and inference workflows.

KLA-Belgium

Software Engineer (AI/ML)

Austin, TX · On-site

$98 - $166/hr

... AI Engineer to develop next-generation artificial intelligence and machine learning solutions ... Develop software systems supporting model training, validation, deployment, and inference workflows.

Apex Informatics

Sr. Software Engineer - AI

Irving, TX · On-site

$117K - $155K/yr

Title: Sr. Software Engineer - AI Location: Irving, TX Job Location: Key Responsibilities * Design ... Apply prompt engineering and context engineering to optimize agent behavior and model outputs.

CirrusLabs

AI Data Engineer

Spring, TX · On-site

$101K - $122K/yr

... for AI model training. Responsibilities : • Collaborate with data modelers to prepare and ... CirrusLabs is an IT company provides agile software delivery, automation, cloud Services, and IoT.

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Software Engineer Ai Model Training information

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

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

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

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

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

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

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

Software Engineer Ai Model Training jobs near you

AI Software Engineer Expert - Remote

YO AI Labs

Houston, TX • Remote

$100 - $200/hr

Part-time

Posted 9 days ago

Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.