2

Part Time Ai Image Jobs (NOW HIRING)

Intern - Geospatial AI Fall 2026

Huntsville, AL ยท On-site

$16.50 - $21.50/hr

... image segmentation * Work with tools such as Python, ArcGIS, QGIS, Solv3D, and cloud-based ... Hours: Part-time or full-time depending on availability and academic schedule * Mentorship: Interns ...

Intern - Geospatial AI Fall 2026

Huntsville, AL ยท On-site

$16.50 - $21.50/hr

... image segmentation * Work with tools such as Python, ArcGIS, QGIS, Solv3D, and cloud-based ... Hours: Part-time or full-time depending on availability and academic schedule * Mentorship: Interns ...

Intern - Geospatial AI Fall 2026

Huntsville, AL ยท On-site

$16.50 - $21.50/hr

... image segmentation * Work with tools such as Python, ArcGIS, QGIS, Solv3D, and cloud-based ... Hours: Part-time or full-time depending on availability and academic schedule * Mentorship: Interns ...

... image segmentation * Work with tools such as Python, ArcGIS, QGIS, Solv3D, and cloud-based ... Hours: Part-time or full-time depending on availability and academic schedule * Mentorship: Interns ...

Intern - Geospatial AI Fall 2026

Huntsville, AL ยท On-site

$16.50 - $21.50/hr

... image segmentation * Work with tools such as Python, ArcGIS, QGIS, Solv3D, and cloud-based ... Hours: Part-time or full-time depending on availability and academic schedule * Mentorship: Interns ...

Intern - Geospatial AI Fall 2026

Huntsville, AL ยท On-site

$16.50 - $21.50/hr

... image segmentation * Work with tools such as Python, ArcGIS, QGIS, Solv3D, and cloud-based ... Hours: Part-time or full-time depending on availability and academic schedule * Mentorship: Interns ...

Showing results 21-40

Part Time Ai Image information

See salary details

$10

$33

$60

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

As of Sep 3, 2026, the average hourly pay for part time ai image in the United States is $33.92, according to ZipRecruiter salary data. Most workers in this role earn between $27.40 and $38.22 per hour, depending on experience, location, and employer.

What is a part time AI image job?

Part-time AI image jobs involve working with artificial intelligence to create, edit, or analyze images, but on a part-time schedule. These roles may include tasks like training AI models to recognize objects in pictures, generating images using AI tools, or curating datasets for machine learning projects. People in these positions often work remotely and can have backgrounds in graphic design, computer science, or data annotation. Common employers are tech companies, research institutions, or businesses utilizing AI-driven visual content. The flexibility of part-time work allows individuals to gain experience in AI while balancing other commitments.

What are the key skills and qualifications needed to thrive as a part time AI image specialist?

To thrive as a Part-Time AI Image Specialist, you need a solid understanding of image editing, machine learning concepts, and digital art or graphic design, often supported by relevant coursework or a portfolio. Familiarity with tools like Adobe Photoshop, Stable Diffusion, Midjourney, and AI image generation platforms is typically required. Creativity, attention to detail, and strong communication skills help you produce high-quality visuals and interpret client or project needs effectively. These skills ensure you can efficiently create compelling AI-generated images that meet project specifications and client expectations.

What are some common challenges faced when working as a part time AI image annotator or specialist?

One common challenge in a part-time AI image role is maintaining consistency and accuracy in labeling or editing images, especially when working independently or with minimal supervision. Since projects often require meeting tight deadlines and quality standards, time management and attention to detail are crucial. Additionally, adapting to frequent updates in annotation guidelines or software tools can be demanding. Collaboration with remote teams and clear communication are also important to ensure a smooth workflow and consistent output.

What is the difference between Part Time Ai Image vs Part Time Graphic Designer?

AspectPart Time Ai ImagePart Time Graphic Designer
Required SkillsAI tools, image generation, basic graphic editingDesign software, creativity, visual communication
Work EnvironmentRemote, digital platformsRemote or in-office, creative studios
Industry UsageTech, AI, digital content creationAdvertising, marketing, media

Part Time Ai Image roles focus on using AI tools to generate images, often requiring knowledge of AI platforms and basic editing. In contrast, Part Time Graphic Designers emphasize traditional design skills and creativity. Both roles are often remote and serve industries like tech and media, but they differ in tools and creative approach.

More about Part Time Ai Image jobs

What are the most commonly searched types of Ai Image jobs?

The most popular types of Ai Image jobs are:

Infographic showing various Part Time Ai Image job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $70,561 per year, or $33.9 per hour.

Autonomy & Perception Integration Engineer - Flight Test (R5441)

Shield AI

San Diego, CA โ€ข On-site

$195K - $350K/yr

Full-time, Part-time

Re-posted 11 days ago


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:
This role is the team's primary interface between perception software and the flight test enterprise. You will work alongside autonomy/perception software developers, flight test engineers, and platform integration teams to mature our capabilities from algorithm to flight-verified system. The ideal candidate brings hands-on experience deploying and testing autonomy or perception software on edge hardware, a strong foundation in one or more core perception disciplines (detection, tracking, SLAM, or navigation), and a bias toward field execution over theoretical analysis.
What you'll do:
  • Integrate perception and state-estimation software with EO/IR cameras, IMU/GNSS/PNT sensors, embedded compute, and target or surrogate platforms.
  • Lead the practical fly-fix-fly loop: prepare software and hardware, verify deployment/configuration, support execution, analyze the data, and drive the next corrective action with the responsible owners.
  • Establish and improve calibration, timing, configuration, data-capture, metadata, and replay practices; define the measurable test objectives and acceptance criteria that make the resulting data usable.
  • Investigate anomalous behavior using logs, recorded data, configuration, and focused source review; partner with software developers on targeted fixes and regression coverage.
  • Support sensor and edge-compute trade studies, bring-up, and operational readiness; drive day-to-day technical triage while escalating safety, airworthiness, and architecture decisions appropriately.
Required qualifications:
  • Hands-on experience integrating and troubleshooting sensor-driven robotics or autonomy systems on physical hardware, including camera, IMU, GNSS/PNT, video, or comparable sensors.
  • Experience with calibration, timestamping, configuration, data quality, or a comparable sensor-integration discipline.
  • Experience defining and executing measurable test objectives, design-of-experiments activities, operational test procedures, or equivalent verification plans.
  • Proficiency in Python/Matlab for analysis, visualization, and investigation of recorded test data.
  • Comfort reading C++ and working with embedded Linux or edge-compute deployments to support focused debugging and integration work.
  • Demonstrated ability to work across hardware, software, test, and operational stakeholders; working knowledge of at least one core perception area such as navigation, tracking, detection, navigation, SLAM, or sensor fusion.
Preferred qualifications:
  • Direct experience with camera intrinsics/extrinsics, camera-to-IMU calibration, time alignment, VIO/VBN, or other sensor-fusion systems in real-world testing.
  • Familiarity with capture, replay, and analysis workflows, plus EO/IR camera, optics, video-metadata, or image-quality characterization.
  • Experience with NVIDIA Jetson or comparable embedded GPU hardware, camera/video pipelines, and performance profiling.
  • Background supporting aviation, maritime, UAS, automotive, industrial robotics, or another operational autonomy domain; familiarity with modern C++ build, deployment, or CI environments.
#LI-KC3
#LE

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.
 
###
 
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.