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Artificial Intelligence Developer Jobs in California

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Artificial Intelligence Developer information

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$30.8K

$118.8K

$181.6K

How much do artificial intelligence developer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for artificial intelligence developer in California is $118,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,661.00 and $150,801.00 per year, depending on experience, location, and employer.

What is an artificial intelligence developer?

Artificial Intelligence Developers are professionals who design, build, and implement AI-powered systems and applications. They use programming languages like Python, R, or Java, and work with machine learning frameworks to create algorithms capable of learning from data. Their responsibilities include developing AI models, testing and deploying solutions, and ensuring that AI systems perform accurately and efficiently. AI Developers often collaborate with data scientists, engineers, and business stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as an artificial intelligence developer?

To thrive as an Artificial Intelligence Developer, you need a solid background in computer science, mathematics, and programming languages such as Python, along with experience in machine learning and data analysis. Familiarity with frameworks and tools like TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is often required. Strong problem-solving abilities, creativity, and effective teamwork are vital soft skills for excelling in this field. These skills and qualities are crucial because they enable the development of innovative AI solutions that address complex real-world challenges efficiently and collaboratively.

What are some common challenges faced by artificial intelligence developers when deploying machine learning models into production environments?

Artificial Intelligence Developers often encounter challenges when moving machine learning models from development to production, such as managing data pipeline integration, ensuring model scalability, and monitoring model performance over time. Addressing issues like data drift, ensuring reproducibility, and meeting latency requirements for real-time applications can also be complex. Collaboration with data engineers, DevOps teams, and business stakeholders is crucial to ensure a smooth deployment process and ongoing model maintenance. By proactively planning for these challenges, AI Developers can help deliver reliable and effective AI solutions.

What is the difference between Artificial Intelligence Developer vs Data Scientist?

AspectArtificial Intelligence DeveloperData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; programming skills in Python, JavaBachelor's or master's in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&D labsAnalyzes data, builds models, and provides insights; in tech, finance, healthcare sectors
Employer & Industry UsageUsed by tech firms, startups, research institutions focusing on AI solutionsUsed across industries for data analysis, predictive modeling, and decision support

While both roles require programming and a strong understanding of data, Artificial Intelligence Developers focus on creating AI systems and algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. Both roles often collaborate but serve different primary functions within tech and data-driven organizations.

Infographic showing various Artificial Intelligence Developer job openings in California as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,802 per year, or $57.1 per hour.

PT Faculty POOL - Artificial Intelligence

Long Beach City College

Long Beach, CA • On-site

$77.64 - $99.18/hr

Part-time

Posted 26 days ago


Job description

Description LONG BEACH CITY COLLEGE Long Beach City College is committed to providing equitable student learning and achievement, by delivering high quality educational programs and support services to our diverse communities. Long Beach City College currently has the privilege of serving approximately 39,928 students, the majority of whom are students of color. Long Beach City College is a Hispanic serving institution, and of our student population 58% are Hispanic/Latinx, 14% are White, 11% are African American, 10% are Asian & Filipino.

An ideal candidate will demonstrate cultural competency in serving the diverse academic, socioeconomic, gender identity, sexual orientation, racial, and cultural backgrounds of community college student populations, including students with differing abilities. For more information on our College demographics please click: https://www.lbcc.edu/pod/lbcc-college-facts. ABOUT THE POSITION Long Beach City College is seeking qualified part-time faculty to teach in the discipline of Artificial Intelligence (AI)

The AI curriculum supports the College's Associate in Science degree in AI for Digital Transformation and its stackable certificate pathways, a Career Technical Education program designed to prepare learners from all backgrounds for an AI-enabled workforce. The program is intentionally no-code/low-code first and ethics-forward. Coursework emphasizes the applied, workplace-relevant use of artificial intelligence rather than software engineering and is designed to be accessible to students without a computer science background.

Instructional areas within the discipline include foundational artificial intelligence and machine learning concepts; generative AI and prompt engineering; conversational and agentic AI systems; multi-modal AI applications spanning text, image, audio, and video; human + AI collaboration and workflow automation; and applied, project-based capstone instruction. Ethical practice, bias, fairness, privacy, transparency, accessibility, and human oversight are embedded throughout the curriculum rather than treated as a separate topic. Faculty in this area may be assigned to teach courses that serve both career technical education and transfer pathways, preparing students for the evolving demands of the workplace and for industry-recognized credentials.

Instruction may be delivered in in-person, hybrid, or online modalities, and teaching assignments may vary by campus location and scheduling needs. The ideal candidate demonstrates a strong commitment to equity-minded pedagogy, inclusive instructional practices, and student-centered learning within a highly diverse community college setting. The teaching assignment may be at the Liberal Arts Campus, the Trade Technical Campus, or other college teaching locations.

The assignment may be day, evening, weekend, online, or off campus and is subject to change as needed. Part-time faculty positions are as-needed positions and do not accrue rights to tenure. Part-time faculty positions offer flexible hours and the opportunity to assist a diverse group of adult students in achieving their educational goals.

As one of the most diverse community college districts in Southern California, we offer a wide range of opportunities in transfer, general education, vocational, and occupational programs. COLLEGE MISSION Long Beach City College is committed to providing equitable student learning and achievement, academic excellence, and workforce development by delivering high quality educational programs and support services to our diverse communities. We are Purposeful, Focused, Nurturing, Connected and Respectful.

Equal Employment Opportunity Plan (Download PDF reader) Strategic Plan (Download PDF reader) Office of the Superintendent President At Long Beach City College, we celebrate equity, diversity and ensure a positive and inclusive working environment for all college students, faculty, staff, and administrators. We believe diversity fosters awareness, promotes mutual understanding and respect, and provides suitable role models for our students. We are committed to the principles of equal employment opportunity and to hiring qualified applicants who are dedicated to student learning and success.

Duties The College seeks candidates who exhibit an understanding and commitment to the community college mission, and who have a passion for commitment to student success. The position encompasses the following professional responsibilities and competencies: Provide instruction in assigned Artificial Intelligence courses in accordance with the approved Course Outline of Record, established course objectives, and student learning outcomes. Design and deliver applied, project-based instruction using no-code and low-code AI platforms, including generative AI assistants, agent builders, workflow automation tools, and multi-modal AI environments.

Embed ethical AI practice, bias, fairness, privacy, transparency, accessibility, and human oversight across course content and assessment. Develop and maintain course materials, assignments, and assessments in the Canvas learning management system, meeting ADA and WCAG 2.1 AA accessibility standards. Apply Universal Design for Learning (UDL) principles and equity-minded, culturally responsive teaching practices

Evaluate student work, maintain accurate records, and submit grades and required reports by established deadlines. Hold office hours and provide timely academic support and feedback to students. Participate in student learning outcomes assessment, program review, and curriculum improvement as requested.

Maintain currency in a rapidly evolving field, including emerging AI tools, platforms, and governance frameworks. Work collegially and collaboratively within the college community; collaborate across disciplines and utilize student support resources. Demonstrate commitment to serving the needs of the student, department, College, and community.

Perform other duties as assigned. SERVICE Commitment to serving the needs of the student, department, college, and community. Collaboration across disciplines and utilization of student support resources.

May Participation in department, division, college committees, and participatory governance activities. May Participation in curriculum and program development. Work collegially and collaboratively within the college community.

Participation in ongoing professional development. TEACHING Ability to create a dynamic learning environment that values instructor/student interaction. Ability to effectively engage with and facilitate authentic learning for students of diverse backgrounds, cultures, and experiences.

Ability to adapt teaching pedagogy to the knowledge of each individual and class. Ability to self-reflect and respond to an evidence-based assessment of student learning. Demonstrated experience and commitment to integrating new technologies into the learning process, including but not limited to interactive technologies for on campus and on-line courses.

Ability to communicate effectively orally and in writing. Qualifications Minimum Qualifications Applicants must meet ONE of the following: 1. A master's degree in artificial intelligence or machine learning, computer science, electrical engineering and computer science, data science, or cognitive science; OR 2.

The Equivalent Qualifications that are different from, but equivalent to, those listed above, as determined through the district's local equivalency process. Long Beach City College has adopted an approved local Equivalency Statement for the Artificial Intelligence discipline, reproduced below. Applicants who do not meet the statewide minimum qualifications verbatim are required to submit a Supplemental Equivalency Application with their application materials.

Applicants who meet the statewide minimum qualifications verbatim do NOT need to submit an equivalency application. The local equivalency pathways expand, and do not replace or diminish, the statewide standard. AND, Required of All Applicants Evidence of a sensitivity to, understanding of, and ability to effectively provide instruction to community college students of diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds.

LOCAL EQUIVALENCY, ARTIFICIAL INTELLIGENCE A candidate shall be deemed equivalent to the master's degree requirement in Artificial Intelligence if ONE of the following criteria is met: Pathway I, Graduate-Level Academic Preparation in AI or Computational Disciplines A master's degree in a related discipline such as: Business Analytics; Computer and Information Systems Security; Engineering; Instructional Design and Technology; Management Information Systems; Management Science; Mathematics; Psychology; or Statistics; AND evidence of a minimum of 30 hours of professionally recognized training directly related to AI research, AI education and pedagogy, AI implementation, machine learning, data science, computational systems, or closely related technical subjects, with a focus on AI implementation and software systems training and professional development. Qualifying professional training may include, but is not limited to machine learning, neural networks, data modeling, algorithmic systems, artificial intelligence applications, statistical inference, computational theory, information systems architecture, cybersecurity systems, and advanced analytics. Pathway II, Advanced Applied AI Systems Development and Implementation A bachelor's degree in computer science, information systems, cybersecurity, mathematics, engineering, or a related computational discipline, AND a minimum of five years of professional experience involving the design, implementation, deployment, or evaluation of artificial intelligence systems, data-driven systems, or computational automation at an advanced level.

Such experience must demonstrate: Design and implementation of AI-driven instructional or enterprise systems; Development of AI curriculum aligned with workforce and academic standards; Integration of generative AI tools, large language models, API-based automation, or intelligent systems into production environments; Demonstrated applied understanding of machine learning, data systems, algorithmic modeling, or intelligent automation. Pathway III, Demonstrated Advanced Academic and Professional Mastery in AI A candidate may be deemed equivalent to the master's degree requirement if they demonstrate advanced, graduate-level breadth and depth of knowledge in AI theory, systems, and applications through a combination of the following: Development or substantial revision of credit-bearing coursework in artificial intelligence, machine learning, data science, or intelligent systems; Leadership in the design, implementation, or evaluation of academic programs, certificates, or curricula related to artificial intelligence or computational technologies; Significant professional experience integrating AI systems, machine learning models, data-driven decision systems, or generative AI technologies into instructional, enterprise, or applied environments; Delivery of structured professional development, training, or scholarly presentations on artificial intelligence theory, applications, or governance; Completion of advanced study, formal coursework, or recognized certification in artificial intelligence or machine learning; Research, scholarship, or applied inquiry demonstrating systematic investigation of AI systems, adoption frameworks, algorithmic impact, or ethical considerations. The candidate must demonstrate knowledge equivalent to graduate-level preparation in core areas such as machine learning principles; data systems and model evaluation; algorithmic reasoning; AI ethics and governance; and applied system integration.

Pathway IV, Prior CCC Equivalency Recognition A candidate who has been granted a master's degree in equivalence in Artificial Intelligence, Computer Science, or a closely related discipline at another California Community College district, subject to review by the LBCC Equivalency Committee. Additional Information REQUIRED APPLICATION MATERIALS A Long Beach Community College District application. A current resume.

ALL graduate and undergraduate transcripts, showing school name, all college coursework, degree title and conferral date. This includes transcripts for any and all for the following degrees, AA, BA/BS, MA/MS and above (Ed.D, Ph.D. etc.) and courses used for transfer credit

Transcripts can be official or unofficial and must be submitted as an attachment. The conferral date must be on or before the application deadline in order to meet Minimum Qualifications. Transcripts from countries other than the United States must be evaluated by an agency that is a member of the National Association of Credentials Evaluation Service (NACES) or Association of International Credential Evaluators, Inc (AICE).

Applicants who do not meet the StatewideMinimum Qualificationsfor this discipline verbatim are required to submit aSupplemental Equivalency Application DISABILITY ACCOMMODATIONS Individuals who require reasonable accommodations in the Application or Examination Process in accordance with ADA should notify the Human Resources Office at least two days prior to the closing date, by calling (562) 938-4372. THE LONG BEACH COMMUNITY COLLEGE DISTRICT IS AN EQUAL OPPORTUNITY EMPLOYER The Long Beach Community College District is committed to the principles of equal employment opportunity and equity-minded hiring practices. It is the District's policy to ensure that all qualified applicants for employment and employees have full and equal access to employment opportunities and are not subject to discrimination in any program or activity of the District on the basis of ethnic group identification, language, accent, citizenship status, race, color, ancestry, national origin, age (40 and over), sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), religion, creed, sexual orientation, gender identity, gender expression, parental status, marital status, military or veteran status, physical or mental disability or medical condition, genetic information, or on the basis of these perceived characteristics.