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Software Engineer Ai Model Training Jobs in Berkeley, CA

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 ...

Factory

Software Engineer, AI

San Francisco, CA · On-site

Software Engineer, AI Responsibilities: Factory is looking for innovative AI Engineers to build and evolve cutting-edge AI systems that transform how software organizations accelerate their ...

Skild AI

Software Engineer, AI Inference

San Mateo, CA · On-site

$100K - $300K/yr

Position Overview We are looking for a Software Engineer to work at the forefront of deploying our cutting-edge AI models, enhancing the performance and capabilities of our embodied systems. You will ...

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All JobsSoftware Engineer Ai Model Training JobsSoftware Engineer Ai Model Training Jobs in Berkeley, CA

Software Engineer Ai Model Training information

See Berkeley, CA salary details

$77.8K

$180.6K

$251.6K

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

As of Aug 15, 2026, the average yearly pay for software engineer ai model training in Berkeley, CA is $180,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,900.00 and $211,800.00 per year, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Software Engineer Ai Model Training jobs in Berkeley, CA?

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

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

The top searched job categories for Software Engineer Ai Model Training jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Software Engineer Ai Model Training jobs?

Cities near Berkeley, CA 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

San Francisco, CA • Remote

$100 - $200/hr

Part-time

Posted 4 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.