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Software Engineer Ai Model Training Jobs (NOW HIRING)

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

El Segundo, CA · On-site

The AI Software Engineer will develop and deploy AI-powered solutions, working across the full AI ... model training, deployment, runtime, and monitoring. • Own high model reliability and uptime by ...

Gallatin AI, Inc.

AI Software Engineer

El Segundo, CA · 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 ...

Gallatin AI, Inc.

AI Software Engineer

Palo Alto, CA · 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 ...

Gallatin AI, Inc.

AI Software Engineer

El Segundo, CA · 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 ...

Gallatin AI, Inc.

AI Software Engineer

San Francisco, CA · 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 ...

Gallatin AI, Inc.

AI Software Engineer

Palo Alto, CA · 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 ...

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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 Aug 21, 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 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.
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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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

AI Software Engineer

Gallatin AI, Inc.

Austin, TX • On-site

Full-time

Re-posted 11 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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