ZipRecruiter

Log In

3

Part Time Remote Ai Engineer Jobs (NOW HIRING)

Air Aviation LLC

Manufacturing Engineer

San Jose, CA · Remote

$85K - $110K/yr

Air Aviation is seeking a Manufacturing Engineer to support client projects on a part-time remote contract basis. The Manufacturing Engineer will be responsible for applying engineering principles to ...

Booz Allen Hamilton, Inc.

AI Developer

Beavercreek, OH · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0243551 Location: Beavercreek,OH,US Share job via: Share AI Developer ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Developer

San Antonio, TX · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0243274 Location: San Antonio,TX,US Share job via: Share AI Developer ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Developer

Beavercreek, OH · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0242811 Location: Beavercreek,OH,US Share job via: Share AI Developer ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Developer

Beavercreek, OH · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0243250 Location: Beavercreek,OH,US Share job via: Share AI ... As an experienced AI engineer, you know that AI systems are critical to understanding and ...

Booz Allen Hamilton, Inc.

AI Developer

San Antonio, TX · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0243553 Location: San Antonio,TX,US Share job via: Share AI Developer ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Developer

San Antonio, TX · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0243276 Location: San Antonio,TX,US Share job via: Share AI Developer ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

previous pagenext page

Showing results 21-40

All JobsAi Engineer JobsPart Time Remote Ai Engineer Jobs

Part Time Remote Ai Engineer information

See salary details

$25

$53

$76

How much do part time remote ai engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for part time remote ai engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

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

AspectPart Time Remote Ai EngineerPart Time Remote Data Scientist
Required CredentialsBachelor's in Computer Science, AI, or related field; knowledge of AI frameworksBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentRemote, often collaborative with development teamsRemote, often focused on data analysis and modeling
Industry UsageTech, AI startups, software companiesFinance, healthcare, e-commerce, research
Search & Comparison IntentLooking for AI-specific roles with remote flexibilitySeeking data analysis roles with remote options

While both roles involve remote work and require technical skills, Part Time Remote Ai Engineers focus on developing AI models and algorithms, whereas Part Time Remote Data Scientists analyze data to extract insights. The choice depends on your expertise in AI development versus data analysis.

What are the most commonly searched types of Remote Ai Engineer jobs? The most popular types of Remote Ai Engineer jobs are:
What states have the most Part Time Remote Ai Engineer jobs? States with the most job openings for Part Time Remote Ai Engineer jobs include:
Part Time Remote Ai Engineer jobs near you
Infographic showing various Part Time Remote Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Lead Instructor: Agentic AI Engineering

General Assembly

Remote

$11K - $15K/wk

Full-time, Part-time

Re-posted 6 days ago

Job description

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today's most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni - and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte's Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.
GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.
Job Title: Lead Instructor: Agentic AI Engineering
Company: General Assembly
Client: Confidential - Customer Success Reskilling
Location: Remote (Must work West Coast / Pacific Time hours)
Duration: 2 Weeks (Starting Mid-June)
Commitment: Roughly 30 hours per week
Compensation: $11,500 - $15,500 (Estimated lump sum payment for one 60-hour program)
About the Engagement
General Assembly is delivering an intensive reskilling program designed to transition experienced Customer Success and Account Management (CSAM) professionals into technical roles focused on Agentic AI Engineering.
As the Lead Instructor, you will lead the charge in teaching students how to design and build sophisticated multi-agent systems. You will move beyond theory to help learners master tool use, memory, and long-horizon planning. This is a high-impact, 2-week "sprint" where you will be the primary technical guide for a cohort of professionals entering the world of autonomous AI orchestration.
What You'll Do
  • Lead Live Technical Instruction: Deliver synchronous remote lectures and "build-along" sessions focused on designing agentic systems within Azure AI Foundry, Copilot Studio, and Semantic Kernel.
  • Facilitate Complex Labs: Guide students through hands-on exercises involving agent design patterns, multi-agent orchestration, and API integration.
  • Code Mentorship: Provide real-time troubleshooting and debugging support in Python as students build out their labs and capstone projects.
  • Translate Architecture: Break down complex systems-thinking and architecture concepts-such as memory management and planning in LLMs-into actionable steps for non-engineering professionals.
  • Office Hours & Feedback: Hold dedicated sessions to review student builds, ensuring their agentic systems are robust, scalable, and technically sound.
What You Bring
  • The Expertise: 7+ years in software engineering, with at least 2+ years of hands-on experience building and deploying agentic AI systems in a production environment.
  • The Tech Stack: Deep proficiency in Azure AI Foundry, Copilot Studio, and Semantic Kernel. (Experience with LangChain or LangGraph is highly valued as an adjacent skill set).
  • Core Skills: Expert-level Python proficiency, API design, and advanced prompt engineering. You should have a deep understanding of agent design patterns (tool use, planning, and orchestration).
  • Instructional Presence: Proven experience teaching technical topics or leading engineering teams. You must be comfortable engaging a remote audience and managing a fast-paced learning environment.
  • The Credentials: AZ-900 and AI-900 are required; AI-102 is strongly preferred.
  • Preferred Background: Experience as an AI Engineer or Azure Solution Architect at Microsoft, Google, or a similar Tier-1 tech firm is a major plus.

Note on Schedule: This is a 2-week, high-intensity engagement starting in mid-June. The instructor must be available for 30 hours per week and must be able to work during West Coast (Pacific Time) business hours to support the learner cohort.
Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.
United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.

Apply