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Ai Project Jobs in California (NOW HIRING)

JS Consulting

Product Manager - AI

Oakland, CA · On-site

Job Title- Product Manager - AI Project Location - Hybrid at Oakland, CA office 2-3 days onsite in a week Duration- 12+ months contract Visa- USC/ GC Make sure candidates are exceptionally ...

YO AI Labs

Medical Auditor - Remote

San Jose, CA · Remote

$50 - $70/hr

Remote Job Overview We are seeking experienced Medical Auditors to contribute their specialized expertise to an innovative healthcare AI project. In this role, you will help improve next-generation ...

New

YO AI Labs

Medical Auditor - Remote

Palo Alto, CA · Remote

$50 - $70/hr

Remote Job Overview We are seeking experienced Medical Auditors to contribute their specialized expertise to an innovative healthcare AI project. In this role, you will help improve next-generation ...

New

YO AI Labs

Medical Auditor - Remote

Los Angeles, CA · Remote

$50 - $70/hr

Remote Job Overview We are seeking experienced Medical Auditors to contribute their specialized expertise to an innovative healthcare AI project. In this role, you will help improve next-generation ...

New

YO AI Labs

Medical Auditor - Remote

San Francisco, CA · Remote

$50 - $70/hr

Remote Job Overview We are seeking experienced Medical Auditors to contribute their specialized expertise to an innovative healthcare AI project. In this role, you will help improve next-generation ...

New

Altera

AI Engineer

San Jose, CA · On-site

AI/ML projects, OR * backend / distributed systems * Solid fundamentals in: * data structures * system design basics Signal of Excellence (What Sets You Apart) * You've built something non-trivial:

YO AI Labs

Pharmacovigilance Expert - Remote

San Jose, CA · Remote

$70 - $80/hr

Remote Job Overview We are seeking experienced Pharmacovigilance Experts to contribute their drug safety expertise to an innovative healthcare AI project. In this role, you will help improve next ...

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Ai Project information

What is an AI project?

AI projects are initiatives that involve the development and implementation of artificial intelligence technologies to solve specific problems, automate processes, or enhance decision-making. These projects can range from building machine learning models for predictive analytics to creating intelligent chatbots or computer vision systems. AI projects typically require a multidisciplinary team, including data scientists, software engineers, and domain experts, and follow a structured process including data collection, model training, evaluation, and deployment. The goal is to leverage AI to deliver tangible improvements or innovations in a particular field or industry.

What are common challenges faced when managing AI projects, and how can they be addressed?

Managing AI projects often involves unique challenges such as data quality issues, aligning stakeholder expectations, and navigating rapidly evolving technologies. Teams may struggle with acquiring sufficient, high-quality data or ensuring that AI models are explainable and ethical. Open communication, agile project management practices, and close collaboration between data scientists, engineers, and business stakeholders help address these challenges. Staying up to date with industry standards and fostering a culture of continuous learning are also key to successful AI project management.

What is the difference between Ai Project vs Data Scientist?

AspectAi ProjectData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related; certifications in data analysis or machine learning
Work EnvironmentProject-based teams, often in tech companies or AI startupsData analysis teams, research labs, or corporate analytics departments
Industry UsageUsed across tech, healthcare, finance, and more for AI developmentApplied in research, business analytics, and data-driven decision making

While both roles involve working with data and algorithms, an Ai Project focuses on developing and implementing AI solutions, whereas a Data Scientist analyzes data to extract insights. The roles often overlap but differ mainly in scope and focus.

What skills and qualifications are needed to thrive as an AI project manager?

To thrive as an AI Project Manager, you need a solid understanding of artificial intelligence concepts, project management methodologies, and experience in leading technical teams, often supported by a degree in computer science or engineering. Familiarity with tools like Jira, Agile/Scrum frameworks, and cloud platforms (e.g., AWS, Azure), as well as certifications like PMP or Scrum Master, is typically required. Excellent communication, problem-solving, and leadership skills help coordinate diverse teams and translate complex technical requirements for stakeholders. These competencies are crucial for delivering AI projects on time and within scope while ensuring alignment between business goals and technical solutions.

What are the most commonly searched types of Ai Project jobs in California?

The most popular types of Ai Project jobs in California are:

What are popular job titles related to Ai Project jobs in California?

For Ai Project jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Project jobs in California look for?

The top searched job categories for Ai Project jobs in California are:

Ai Project jobs near you
Infographic showing various Ai Project job openings in California as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 2% Temporary, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

AI Project Specialist - Temp/Intern to hire

Newegg

Diamond Bar, CA • On-site

$31K - $36K/yr

Temporary, Internship

Re-posted 22 days ago

Newegg rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

  • Apply computer vision techniques to automate warehouse and logistics workflows, such as:
    • Develop and deploy computer vision models for object detection, tracking, and anomaly detection in logistics workflows (e.g., pallet counting, dock monitoring, trailer in/out verification).
    • Build and maintain OCR and document understanding pipelines for extracting structured data from BOLs, ASNs, invoices, packing lists, and other logistics PDFs
    • Integrate camera-based recognition systems (e.g., license plate recognition, packed item verification, activity recognition) into warehouse operations.
  • Collaborate with operations teams to validate AI outputs against real logistics scenarios.
  • Assist in developing prototypes, testing models, and refining algorithms to improve accuracy and efficiency.
  • Support documentation of processes, findings, and best practices for ongoing projects.

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field.
  • Strong academic or project experience in computer vision, deep learning, or machine learning.
  • Familiarity with libraries and frameworks such as OpenCV, TensorFlow, or PyTorch.
  • OCR & Document AI: Tesseract, PaddleOCR, LayoutLM, Donut, or commercial services (AWS Textract, Google Vision, Azure Form Recognizer)
  • Solid programming skills in Python (preferred) or similar languages.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills, with the ability to work closely with both technical and operations teams.

Preferred Skills
  • Prior project or internship experience applying AI/ML in logistics, supply chain, or manufacturing environments.
  • Knowledge of warehouse management systems or logistics processes.

What Newegg employees say

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