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Part Time Ai Image Jobs (NOW HIRING)

Sciton

Computer Vision (Software) Engineer

Palo Alto, CA

$170K - $190K/yr

Image registration and segmentation * Feature extraction * Object motion compensation * Multi ... Stay current with advances in computer vision, medical imaging, and AI-driven techniques What We're ...

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Part Time Ai Image information

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$10

$33

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

As of Jun 13, 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 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.

What are part-time AI image jobs?

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, and why are they important?

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.
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Part Time Ai Image jobs near you
Adjunct Associate Faculty, Applied Generative AI (On-Campus, Fall '26)

Adjunct Associate Faculty, Applied Generative AI (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$2K - $3K/wk

Part-time

Posted 16 days ago

Job description

Company Description
Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.
Job Description
Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Applied Generative AI. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.
The Applied Generative AI course provides students with a comprehensive introduction to a branch of machine learning called generative modeling, focusing on the underlying concepts, theoretical techniques, and practical applications. Students will learn to use, fine-tune, and programmatically interface with high-level APIs and open-source foundational models, allowing them to leverage state-of-the-art tools in Generative AI. Additionally, the course delves into the theory and practice of low-level implementations, empowering students to train their own models on their own data and understand these models from first principles. The course covers various types of generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers with their applications to text, image, audio, and video generation.
Responsibilities
  • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.
  • Evaluate, grade student work and assessments as requested by the course Lecturer.
  • Monitor and address student concerns and inquiries.

Qualifications
Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting.
Requirements
  • Graduate degree in an area related to Machine Learning, Computer Science, Applied Mathematics, or related field.
  • 3+ years of related applied professional experience.

Preferred Skills & Experience
  • Programming experience in Python and experience with major deep learning frameworks such as PyTorch or TensorFlow.
  • Knowledge of deep learning architectures, such as CNNs, VAEs, GANs, and RNNs.
  • Experience with deploying code on cloud platforms such as AWS, GCP, or Azure.
  • Knowledge of Mathematics and Probability concepts used in machine learning, including
  • Optimization, Gradient Descent, Conditional Probability, Bayes Theorem, and Normal Distribution.

Additional Information
Salary range: $2,000 - $3,000 per semester long course
Please submit a resume inclusive of university teaching experience.
All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity Employer / Disability / Veteran

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