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Software Engineer Ai Model Training Jobs (NOW HIRING)

THOMSON REUTERS

Lead Software Engineer, AI

Eagan, MN · 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 ...

Thomson Reuters

Lead Software Engineer, AI

Eagan, MN · On-site

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 ...

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

AI/ML Software Engineer At Gallatin, we are rebuilding logistics infrastructure for the national ... Establish scalable MLOps pipelines and real-time inference services to streamline model training ...

Gallatin AI, Inc.

AI Software Engineer

Manhattan, NY · On-site

AI/ML Software Engineer At Gallatin, we are rebuilding logistics infrastructure for the national ... Establish scalable MLOps pipelines and real-time inference services to streamline model training ...

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Software Engineer Ai Model Training information

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$63.5K

$147.5K

$205.5K

How much do software engineer ai model training jobs pay per year?

As of Jun 18, 2026, the average yearly pay for software engineer ai model training in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Software Engineers specializing in 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 are the key skills and qualifications needed to thrive as a Software Engineer in AI Model Training, and why are they important?

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 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.

What does a Software Engineer in 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.
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Software Engineer Ai Model Training jobs near you
Infographic showing various Software Engineer Ai Model Training job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 1% Part Time, 3% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

AI Training & Infrastructure Engineer

Skild.ai

San Francisco, CA • On-site

$126K - $166K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A leading company in AI robotics seeks a Software Engineer for developing and optimizing software infrastructure for AI model training. The role involves creating efficient, scalable training pipelines and collaborating with experts to integrate advanced algorithms. Ideal candidates have a strong foundation in Python and distributed computing, along with a passion for cutting-edge AI technologies.

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