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Part Time Embedded Ai Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Embedded Developer

Annapolis, MD · On-site +1

$69K - $158K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton, Inc.

Embedded Developer

Annapolis, MD · On-site +1

$69K - $158K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Weekday AI

Electrical Engineering Expert

$65 - $90/hr

... AI systems across electrical engineering applications. This is a flexible, fully remote, part-time ... embedded systems, or industrial electrical engineering. * Strong familiarity with industry ...

Shield AI

Electrical Engineer I (TX)

Dallas, TX · On-site

$81K - $122K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Circuit design for our embedded system. You will design with analog, digital, power conversion ...

Shield AI

Electrical Engineer I (TX)

Dallas, TX · On-site

$81K - $122K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Circuit design for our embedded system. You will design with analog, digital, power conversion ...

Shield AI

Electrical Engineer I (SD)

San Diego, CA · On-site

$81K - $122K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Circuit design for our embedded system. You will design with analog, digital, power conversion ...

Shield AI

Electrical Engineer I (BOS) (R5046)

Boston, MA · On-site

$81K - $122K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Circuit design for our embedded system. You will design with analog, digital, power conversion ...

Shield AI

Electrical Engineer I (TX)

Dallas, TX

$81K - $122K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Circuit design for our embedded system. You will design with analog, digital, power conversion ...

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Part Time Embedded Ai information

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$70K

$153.4K

$174K

How much do part time embedded ai jobs pay per year?

As of Aug 22, 2026, the average yearly pay for part time embedded ai in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a part time embedded AI?

A Part Time Embedded AI job involves working on artificial intelligence (AI) algorithms and systems that are integrated into hardware devices, but on a part-time basis. Professionals in this role typically design, develop, and optimize AI models to run efficiently on embedded systems such as microcontrollers, IoT devices, or edge devices. The part-time nature of the job allows for flexible hours, making it suitable for students, freelancers, or those looking to supplement their income. Key responsibilities may include programming, testing, and deploying AI models within the constraints of limited computing resources. This role requires knowledge of both AI concepts and embedded systems programming.

What are the typical responsibilities and collaboration expectations for a part time embedded AI engineer?

As a part-time Embedded AI engineer, you’ll typically work on integrating AI algorithms into hardware devices, often focusing on optimizing models for resource-constrained environments. You’ll collaborate closely with firmware developers, hardware engineers, and sometimes data scientists to ensure seamless deployment and real-time performance. Communication and coordination are key, as you’ll need to align your schedule with the team’s milestones and contribute efficiently within your available hours. Regular code reviews, sprint planning, and status updates are common, even in part-time roles.

What are the key skills and qualifications needed to thrive as a part time embedded AI engineer, and why are they important?

To thrive as a Part-Time Embedded AI Engineer, you need a solid background in embedded systems, machine learning fundamentals, and programming languages such as C/C++ and Python, often supported by a relevant engineering or computer science degree. Familiarity with AI development frameworks (like TensorFlow Lite), real-time operating systems (RTOS), and microcontroller or FPGA platforms is typically expected. Strong problem-solving, time management, and collaboration skills help you deliver results efficiently in a flexible, part-time setting. These competencies are vital to effectively design, implement, and optimize AI solutions within the constraints of embedded hardware and limited work hours.
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What job categories do people searching Part Time Embedded Ai jobs look for?

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Part Time Embedded Ai jobs near you
Infographic showing various Part Time Embedded Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

Associate Application Engineer (2027 Graduates)

Appian Corporation

Mclean, VA • On-site

Full-time, Part-time

Posted 29 days ago

Job description

At Appian, the Business Technology team is the engine driving our technical strategy and execution. We design, build, and deploy custom, cutting-edge enterprise systems that empower Appian's internal departments to scale efficiently. By embedding artificial intelligence into everyday workflows, our team directly enables Appian's rapid growth and showcases the true power of AI-Powered Process Automation within a live corporate environment.

Appian is looking for an Associate Application Engineer to develop large-scale applications that support internal Appian employees around the world. In this role, you will design and build custom applications with embedded AI that solve real-world problems for internal business stakeholders. This is a rare launchpad for an ambitious technologist to master Enterprise-Grade Systems, collaborate directly with corporate leadership, and see the immediate impact of their software on a global scale.

This role is based at our headquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. 

What You'll Do

  • Build and deploy custom internal applications featuring advanced business logic, automated workflows, and embedded AI capabilities.

  • Collaborate closely with cross-functional internal departments to translate operational challenges into high-performing technical solutions.

  • Design clean, scalable architecture and integrate complex data structures utilizing foundational concepts in Data Modeling.

  • Partner with senior engineers to continuously optimize internal system performance, security, and UI/UX design.

  • Participate in agile development cycles, active code reviews, and collaborative brainstorming sessions to drive internal digital transformation.

Basic Qualifications:

  • Education: Currently pursuing a Bachelor's or Master's degree in Information Systems, Data Science, Computer Engineering, Computer Science, Math, other STEM-related fields with a strong academic record

  • Experience: Prior experience in a professional, academic, or technical setting (includes internships, research, capstones, or consistent part-time/full-time employment).

  • Communication: Effective written and verbal communication skills with the ability to collaborate in a professional environment and to bridge the gap between technical concepts and business needs.

  • Technical Skills: Academic background or experience demonstrating coding exposure with programming languages such as SQL, Java, Python, C#, or JavaScript.

  • AI Skills: Proven fluency in AI and LLMs, encompassing both the strategic development of AI-powered platform capabilities and the hands-on application of AI tools to accelerate daily workflows.

Preferred Qualifications

  • Demonstrated leadership experience (e.g. executive roles in student organizations, club leadership, or captaincy of team-based activities).

  • An eager, self-starting mindset passionate about learning AI-Powered Process Automation.

At this time, Appian will not sponsor a new applicant for employment authorization for this position.

Thank you for your interest in joining our team! Please note that we will officially begin reviewing applications and scheduling interviews starting August 2026. We appreciate your patience and look forward to connecting with you then.

At Appian, we embrace AI as part of how we work and innovate. While candidates are encouraged to use AI for preparation and learning, we restrict AI usage for live interviews and assessments unless otherwise specified. In some cases, AI use may be part of the assessment, and expectations will be communicated in advance.

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