AI Intern Visa Sponsorship Jobs in California
AI intern visa sponsorship jobs in California are concentrated in the San Francisco Bay Area and Los Angeles, where companies like Google, Meta, Microsoft, and dozens of AI-focused startups actively recruit international interns. California's density of top-tier research universities and AI labs makes it one of the most active states for sponsored AI internship roles.
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Get Access To All JobsWe are so glad you are interested in joining Sutter Health!
Organization
SHSO-Sutter Health System Office-Valley
Position Overview
Leads Sutter Health's artificial intelligence (AI) governance program. Sets the target operating model, policy framework, and program priorities that shape how AI governance is performed at Sutter Health and how it evolves within a rapidly changing regulatory, technical, and organizational landscape. Leads a team of AI governance analysts and operates the program directly alongside them — leading high-complexity reviews, drafting policy and standards, and making day-to-day prioritization decisions across a high-volume queue of AI use cases. Convenes and aligns the many groups that must participate in AI governance and partners closely with data science and applied AI leadership to integrate governance requirements across the model development and monitoring lifecycle.
Education
Equivalent experience will be accepted in lieu of the required degree or diploma.
* Bachelor's degree in Health Informatics, Computer Science, Information Management, Public Health, Health Administration, Law, or related field.
Typical Experience
* 5 recent relevant experience
Skills And Knowledge
Experience in healthcare data governance, AI/ML governance, model risk management, or regulatory compliance.
Experience leading or coordinating cross-functional governance, risk, or compliance programs.
Direct experience supporting AI/ML or advanced analytics programs.
Strong organization and prioritization skills across a large, varied portfolio of work and competing demands.
Demonstrated ability to convene, align, and drive decisions among diverse stakeholder groups, including clinical, technical, legal, privacy, security, compliance, and operational.
Working knowledge of machine learning and generative AI concepts, the model development lifecycle, and common failure modes (bias, drift, hallucination, data leakage).
Possess an understanding of technical concepts related to AI observability, including performance instrumentation for deployed models; familiarity with advanced monitoring techniques such as Large Language Model (LLM)-as-a-judge evaluation, automated output quality assessment, and monitoring of agentic AI workflows, including tool use, multi-step reasoning, and autonomous decision chains.
Familiarity with AI governance frameworks (National Institute of Standards and Technology Artificial Intelligence Risk Management Framework [NIST AI RMF], Coalition for Health AI [CHAI] Assurance Standards, International Organization for Standardization/International Electrotechnical Commission [ISO/IEC] 42001), healthcare regulations (Health Insurance Portability and Accountability Act [HIPAA], Food and Drug Administration [FDA] Software as a Medical Device [SaMD] guidance, Office of the National Coordinator for Health Information Technology [ONC] Health Data, Technology, and Interoperability [HTI-1] rule), and emerging state-level AI regulation.
Demonstrated ability to design and operate governance processes that are practical, auditable, and minimize friction for delivery teams.
Strong facilitation and written communication; able to lead committees and translate complex AI risk concepts for executive, clinical, and front-line audiences.
Demonstrated ability to manage team capacity, prioritization, and delivery across a high-volume, multi-stakeholder portfolio.
Experience coaching and developing staff in both technical and governance/regulatory domains.
These Principal Accountabilities, Requirements and Qualifications are not exhaustive but are merely the most descriptive of the current job. Management reserves the right to revise the job description or require that other tasks be performed when the circumstances of the job change (for example, emergencies, staff changes, workload, or technical development).
Job Shift
Days
Schedule
Full Time
Days Of The Week
Monday - Friday
Weekend Requirements
None
Benefits
Yes
Unions
No
Position Status
Exempt
Weekly Hours
40
Employee Status
Regular
Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans.
Pay Range is $156,332.80 to $234,478.40 / annual salary
The compensation range may vary based on the geographic location where the position is filled. Total compensation considers multiple factors, including, but not limited to a candidate’s experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. Base pay is only one component of Sutter Health’s comprehensive total rewards program. Eligible positions also include a comprehensive benefits package.
We are so glad you are interested in joining Sutter Health!
Organization
SHSO-Sutter Health System Office-Valley
Position Overview
Leads Sutter Health's artificial intelligence (AI) governance program. Sets the target operating model, policy framework, and program priorities that shape how AI governance is performed at Sutter Health and how it evolves within a rapidly changing regulatory, technical, and organizational landscape. Leads a team of AI governance analysts and operates the program directly alongside them — leading high-complexity reviews, drafting policy and standards, and making day-to-day prioritization decisions across a high-volume queue of AI use cases. Convenes and aligns the many groups that must participate in AI governance and partners closely with data science and applied AI leadership to integrate governance requirements across the model development and monitoring lifecycle.
Education
Equivalent experience will be accepted in lieu of the required degree or diploma.
* Bachelor's degree in Health Informatics, Computer Science, Information Management, Public Health, Health Administration, Law, or related field.
Typical Experience
* 5 recent relevant experience
Skills And Knowledge
Experience in healthcare data governance, AI/ML governance, model risk management, or regulatory compliance.
Experience leading or coordinating cross-functional governance, risk, or compliance programs.
Direct experience supporting AI/ML or advanced analytics programs.
Strong organization and prioritization skills across a large, varied portfolio of work and competing demands.
Demonstrated ability to convene, align, and drive decisions among diverse stakeholder groups, including clinical, technical, legal, privacy, security, compliance, and operational.
Working knowledge of machine learning and generative AI concepts, the model development lifecycle, and common failure modes (bias, drift, hallucination, data leakage).
Possess an understanding of technical concepts related to AI observability, including performance instrumentation for deployed models; familiarity with advanced monitoring techniques such as Large Language Model (LLM)-as-a-judge evaluation, automated output quality assessment, and monitoring of agentic AI workflows, including tool use, multi-step reasoning, and autonomous decision chains.
Familiarity with AI governance frameworks (National Institute of Standards and Technology Artificial Intelligence Risk Management Framework [NIST AI RMF], Coalition for Health AI [CHAI] Assurance Standards, International Organization for Standardization/International Electrotechnical Commission [ISO/IEC] 42001), healthcare regulations (Health Insurance Portability and Accountability Act [HIPAA], Food and Drug Administration [FDA] Software as a Medical Device [SaMD] guidance, Office of the National Coordinator for Health Information Technology [ONC] Health Data, Technology, and Interoperability [HTI-1] rule), and emerging state-level AI regulation.
Demonstrated ability to design and operate governance processes that are practical, auditable, and minimize friction for delivery teams.
Strong facilitation and written communication; able to lead committees and translate complex AI risk concepts for executive, clinical, and front-line audiences.
Demonstrated ability to manage team capacity, prioritization, and delivery across a high-volume, multi-stakeholder portfolio.
Experience coaching and developing staff in both technical and governance/regulatory domains.
These Principal Accountabilities, Requirements and Qualifications are not exhaustive but are merely the most descriptive of the current job. Management reserves the right to revise the job description or require that other tasks be performed when the circumstances of the job change (for example, emergencies, staff changes, workload, or technical development).
Job Shift
Days
Schedule
Full Time
Days Of The Week
Monday - Friday
Weekend Requirements
None
Benefits
Yes
Unions
No
Position Status
Exempt
Weekly Hours
40
Employee Status
Regular
Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans.
Pay Range is $156,332.80 to $234,478.40 / annual salary
The compensation range may vary based on the geographic location where the position is filled. Total compensation considers multiple factors, including, but not limited to a candidate’s experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. Base pay is only one component of Sutter Health’s comprehensive total rewards program. Eligible positions also include a comprehensive benefits package.
AI Intern Job Roles in California
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Search AI Intern Jobs in CaliforniaAI Intern Jobs in California: Frequently Asked Questions
Which companies in California sponsor visas for AI interns?
Large tech employers including Google, Meta, Apple, Microsoft, and Amazon have established sponsorship infrastructure and regularly hire AI interns from international applicant pools at their California offices. AI-focused companies like Anthropic, OpenAI, and Scale AI, headquartered in the Bay Area, also sponsor intern roles. Sponsorship is not guaranteed at any company and typically depends on headcount, role type, and immigration policy at the time of hiring.
Which visa types are most common for AI intern roles in California?
Most international students doing AI internships in California are authorized through F-1 Curricular Practical Training (CPT) or Optional Practical Training (OPT), which allow work without a separate employer petition. J-1 visa intern or trainee programs are another option for shorter placements. H-1B visa sponsorship is rare for internships specifically, as the visa is designed for full-time specialty occupation employment rather than temporary training roles.
Which cities in California have the most AI intern sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, Palo Alto, and San Francisco itself, has the highest concentration of AI intern sponsorship opportunities in California. Los Angeles and Santa Monica have a growing cluster of AI and tech companies also hiring international interns. San Diego has a smaller but notable presence, driven by AI research at universities and biotech-adjacent AI companies.
How to find ai intern visa sponsorship jobs in California?
Migrate Mate is built specifically for international job seekers and filters AI intern roles in California by visa sponsorship availability, saving you from manually screening hundreds of postings. Because AI internship roles in California move quickly, particularly in the Bay Area, checking Migrate Mate regularly and setting up alerts for AI intern positions can help you apply early, which matters given the high competition for sponsored roles at top employers.
Are there state-specific considerations for AI intern sponsorship in California?
California's concentration of university AI programs at UC Berkeley, Stanford, UCLA, and UCSD creates a strong pipeline that employers rely on, meaning competition for sponsored AI intern roles is high. California employers sponsoring CPT or OPT interns must still comply with Department of Labor wage requirements for the role and location, and Bay Area prevailing wages for AI-related positions are among the highest in the country, which can affect which employers actively pursue international candidates.
What is the prevailing wage for sponsored ai intern jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.