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Part Time Ai Engineer Salary In Jobs in California

Brain Gain Recruiting

Explainable AI Engineer

Palo Alto, CA · Remote

$122K - $165K/yr

Having delivered $200M+ in cost avoidances, we are growing 4x in repeat contracts. We have built ... You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least ...

Uare.ai

AI / Video Engineer

Los Altos, CA · On-site

Working part-time with flexible hours, you'll experiment with the latest AI video generation tools ... Strong artistic vision with experience in video production, animation, or motion design * Hands-on ...

Uare.ai

AI / Video Engineer

Los Altos, CA · On-site

Working part-time with flexible hours, you'll experiment with the latest AI video generation tools ... Strong artistic vision with experience in video production, animation, or motion design * Hands-on ...

Uare.ai

AI / Video Engineer

Los Altos, CA · On-site

Working part-time with flexible hours, you'll experiment with the latest AI video generation tools ... Strong artistic vision with experience in video production, animation, or motion design * Hands-on ...

Planet

Software Engineer

San Francisco, CA · Hybrid

Expertise in GCP and AWS * Experience with AI Gateways, Agent Registries, and AI orchestration ... The US base salary range for this full-time position at the commencement of employment is listed ...

RocketRide Inc.

AI Developer Intern

San Francisco, CA · On-site

$22.75 - $29.75/hr

San Francisco (Hybrid) | Part-time or Full-time, 3 months, with potential to convert About ... Currently pursuing a bachelor's or master's degree in Computer Science or a related field, with a ...

M|R Walls

AI Systems Engineer

Santa Monica, CA · On-site

Competitive salary * Direct collaboration with company leadership * Opportunity to help shape an AI ... * Part-time or full-time opportunities available * Based in Santa Monica

M|R Walls

AI Systems Engineer

Santa Monica, CA · On-site

Competitive salary * Direct collaboration with company leadership * Opportunity to help shape an AI ... * Part-time or full-time opportunities available * Based in Santa Monica

Shield AI

Electrical Engineer I (SD)

San Diego, CA · On-site

$81K - $122K/yr

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Shield AI

Electrical Engineer I (SD)

San Diego, CA

$81K - $122K/yr

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

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Part Time Ai Engineer Salary In information

What is the difference between Part Time Ai Engineer Salary In vs Part Time Data Scientist?

AspectPart Time Ai EngineerPart Time Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of AI frameworksBachelor's in CS, Statistics, or related; experience with data analysis
Work EnvironmentTech companies, startups, research labsTech firms, finance, healthcare, research institutions
Industry UsageAI development, machine learning projectsData analysis, predictive modeling
Salary Range$20-$50/hour$15-$45/hour

Part Time Ai Engineers and Part Time Data Scientists share similar credentials and work environments, often within tech-focused industries. While salaries overlap, Ai Engineers tend to earn slightly higher rates due to specialized AI skills, especially in machine learning and neural networks. Both roles are in demand for data-driven projects, but their focus areas differ, influencing salary variations.

How much do entry level AI engineers make?

Entry-level AI engineers typically earn between $70,000 and $90,000 annually, depending on location, education, and industry. Starting salaries may be lower in some regions but tend to increase with skills in machine learning frameworks and programming languages like Python or TensorFlow.

How much do part time AI engineers make per month?

Part-time AI engineers typically earn between $2,000 and $4,000 per month, depending on experience, location, and project complexity. Compensation may also vary based on whether they work freelance or for a company, and the specific skills they possess in machine learning, programming, and data analysis.

Is a part time AI engineer a high paying job?

Part time AI engineers can earn competitive wages, but their salary typically depends on experience, skills, and the complexity of projects. Generally, AI engineering is a high-demand field with higher-than-average pay, though part-time roles may offer lower total compensation compared to full-time positions.

What are the most commonly searched types of Ai Engineer Salary In jobs in California?

The most popular types of Ai Engineer Salary In jobs in California are:

Part Time Ai Engineer Salary In jobs near you
Infographic showing various Part Time Ai Engineer Salary In job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution.

Explainable AI Engineer

Brain Gain Recruiting

Palo Alto, CA • Remote

$122K - $165K/yr

Full-time, Part-time

Posted 7 days ago

Job description

Company Description

We’re an Industrial AI start-up founded by a Stanford professor and led by recognized leaders in Data Intelligence for Aerospace & Defense supply chain operations. Our Enterprise SaaS AI Application improves sustainment of the U.S. Air Force’s 5,000-aircraft fleet ($100B yearly budget). Having delivered $200M+ in cost avoidances, we are growing 4x in repeat contracts.

We have built and are operationally deploying hallucination-free Agentic AI for mission critical decision support that relies on proprietary Explainable AI engines for SME-explainable insights from existing data.

Job Description

We’re hiring an Explainable AI Engineer to build, verify, and validate business impact predictions based on outputs of our AI Engines. You’ll have an opportunity to learn from Stanford and Georgia Tech professors and work across algorithms and data pipelines to evolve our Explainable AI including

  • Development of Operations Research features for the AI models
  • Automation of data management towards scalability
  • Aerospace grade V&V for mission critical functions using simulations
  • Explainable AI engine interfaces to data, human users, and Agentic AI

Main Responsibilities:

  • Understand, develop, & support business impact prediction analytics in Explainable AI Engines
  • Build, evolve, verify, and validate data processing pipeline segments
  • Support scalable deployment of the AI
  • Integrate Explainable AI with LLM tools for Agentic AI experience
  • Collaborate with the cloud software team and occasionally with customers
  • Document Explainable AI for customer users and internal software developers
Qualifications

Must-haves

  • Experience building mission-critical analytical applications, working in a production environment
  • Hands-on skills in at least some of mathematical methods in:
    • Operations Research
    • Bayesian statistics
    • Monte Carlo analysis
    • Mathematical optimization
    • Decision and Control
  • Experience with MATLAB
  • Model-based development / simulation-based verification
  • Solid experience writing technical documentation
  • Strong collaboration and communication skills; experience working with a software team
  • Graduate Degree in Engineering or a related field
  • U.S. Citizenship.

Pluses

  • Supply chain and/ or sustainment in the aerospace industry
  • Experience with Java and GitHub (Actions)
  • Building SaaS applications
  • Experience with GenAI and LLM augmentation (RAG)
  • PhD

Additional Information
  • US Citizenship Required: This position requires the ability to work with Controlled Unclassified Information for the Department of Defense.
  • A background check and a drug check may be required.
  • Location: This is a remote position. USA, Nationwide.
  • You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least 10 hours/ week), or a full-time employee.