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Part Time Ai Developer Jobs in Dallas, TX (NOW HIRING)

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Staff Fuel Systems Engineer

Dallas, TX · On-site

$142K - $213K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

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Part Time Ai Developer information

See Dallas, TX salary details

$16

$52

$80

How much do part time ai developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for part time ai developer in Dallas, TX is $52.27, according to ZipRecruiter salary data. Most workers in this role earn between $39.95 and $63.99 per hour, depending on experience, location, and employer.

What is a part time AI developer?

A Part Time AI Developer is a professional who works on artificial intelligence projects, such as developing machine learning models, natural language processing tools, or AI-powered applications, but does so on a part-time basis. These developers may work for a single company, as freelancers, or on multiple projects at once. The role typically requires programming skills, knowledge of AI frameworks, and experience with data analysis, but allows for flexible hours. Part time AI Developers are in demand for startups, research teams, and organizations that need AI expertise without a full-time commitment.

What do part time AI developers do?

As a part-time AI Developer, you’ll typically be involved in tasks such as developing and testing machine learning models, assisting with data preprocessing, and collaborating with full-time engineers or data scientists on ongoing projects. You may also be responsible for implementing algorithms, conducting research to improve model performance, and helping to integrate AI solutions into existing systems. The part-time nature of the role often means working on specific modules or features rather than overseeing end-to-end product development, and you’ll likely participate in regular meetings to align with the broader team’s goals. This structure allows for valuable hands-on experience while maintaining a flexible schedule.

What skills and qualifications are needed to be a part time AI developer?

To thrive as a Part Time AI Developer, you need a solid background in computer science, programming (especially Python), and foundational knowledge in machine learning or data science, often supported by a relevant degree or coursework. Familiarity with frameworks like TensorFlow or PyTorch, version control systems like Git, and cloud platforms such as AWS or Azure is typically required. Strong problem-solving abilities, time management, and effective communication are crucial soft skills for success in a flexible, project-based environment. These skills and qualities enable you to deliver high-quality AI solutions efficiently while collaborating remotely or across teams.

What are the most commonly searched types of Ai Developer jobs in Dallas, TX?

The most popular types of Ai Developer jobs in Dallas, TX are:

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Cities near Dallas, TX with the most Part Time Ai Developer job openings:

Infographic showing various Part Time Ai Developer job openings in Dallas, TX as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $108,721 per year, or $52.3 per hour.

Director, Avionics Engineering, V-BAT

Shield AI

Dallas, TX • On-site

$220K - $340K/yr

Full-time, Part-time

Re-posted yesterday


Key responsibilities

  • Lead and grow the multidisciplinary avionics engineering teams, including electrical design, root cause analysis, and build/test technicians.

  • Establish team priorities, allocate resources, and drive execution to ensure the reliability, performance, and manufacturability of the V-BAT avionics systems.

  • Contribute to design development, perform hands-on root cause analysis, and lead investigations to resolve issues and improve system reliability.


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

We are seeking a hands-on engineering leader to direct multiple teams spanning electrical design engineering, avionics root cause analysis, and avionics build/test operations. In this role, you will own the technical health and reliability of the avionics systems powering the V-BAT platform — leading the people, processes, and designs that take issues from field observation through root cause resolution and durable design improvement. You will operate at the intersection of design, manufacturing, quality, and fleet support, and you will be measured by the reliability, performance, and manufacturability of what your teams deliver.

What you'll do:
  • Lead and grow the team. Mentor and develop a multidisciplinary organization of electrical design engineers, root cause analysis engineers, and avionics build/test technicians, building career paths and technical depth across all three disciplines.
  • Set direction and drive execution. Establish team priorities, allocate resources against competing demands, and drive execution while fostering a culture of technical excellence, ownership, and continuous improvement.
  • Stay technical. Actively contribute to design development and reviews, hands-on root cause analysis, and the definition and validation of corrective actions — leading by technical example, not just management.
  • Own investigations end to end. Lead cross-functional failure investigations, establish and verify corrective and preventive actions, and build tooling and infrastructure that accelerate debugging, test, and issue resolution.
  • Improve system reliability. Drive coordination across Supply Chain, Reliability, Manufacturing, Quality, and Fleet Support to implement the processes and design changes that measurably increase the reliability and availability of the V-BAT system.
  • Build the standard. Establish the standards, review cadences, and metrics (e.g., reliability growth, escape rates, time-to-resolution) that make technical quality repeatable and scalable as the program grows.
Required qualifications:
  • B.S. in Electrical Engineering or an equivalent technical field.
  • 10+ years of experience, including demonstrated success leading and growing teams of electrical engineers.
  • Proven track record of building and scaling high-performing technical teams.
  • Experience working cross-functionally across design, supply chain, manufacturing, quality, and fleet/field support.
  • Proven ability to plan and execute complex electronic and electrical designs in a high-consequence industry (defense, aerospace, automotive, or medical device).
  • Demonstrated ability to thrive in a fast-paced, high-ownership development environment with rapidly evolving priorities.
Preferred qualifications:
  • M.S. or Ph.D. in Electrical Engineering.
  • Experience with structured problem-solving and failure analysis methods such as fault tree analysis, fishbone/Ishikawa diagrams, FMEA/FMECA, 8D, or similar.
  • Ownership of full product development lifecycles — from concept through release, production ramp, customer sustainment, and product retirement.
  • Experience in UAV/UAS design or other autonomous or unmanned systems.
  • Familiarity with reliability engineering practices (reliability growth modeling, MTBF/MTBUR analysis, accelerated life testing).
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.