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Ai Image Categorization Jobs (NOW HIRING)

Sigma Group

Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

AI - Shaping the Future of Artificial Intelligence What is Sigma? Sigma is a leading global ... Annotation - Audio/Video/Image/Sentence/Word validation - Categorization, Conversational ...

MDAEdge

PIM Implementation Specialist

... AI capabilities , focusing on automated product attribution via PDF tech-pack extraction and image ... categorization Company : The world doesn't have a talent shortage. It has a talent alignment ...

MDAEdge

SAP BTP & Apigee Integration Lead

$106K - $143K/yr

... AI capabilities , focusing on automated product attribution via PDF tech-pack extraction and image ... categorization Company : The world doesn't have a talent shortage. It has a talent alignment ...

InfoTree

Be Seen First

Business Analyst II - Digital Librarian

Chicago, IL · On-site

$33 - $35/hr

... image, video, audio, and document assets. · Conduct regular quality reviews and metadata audits ... AI technologies; advanced applications for managing content

PHIflow, LLC

VP of Marketing

New York, NY · On-site

... AI-driven approach to the review and categorization of critical, often time sensitive contract ... image, and outreach efforts to support the launch of a new product. This individual will be our ...

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Ai Image Categorization information

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How much do ai image categorization jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for ai image categorization in the United States is $22.10, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $29.81 per hour, depending on experience, location, and employer.

What is AI image categorization?

AI image categorization is the process of using artificial intelligence and machine learning algorithms to automatically sort and label images into predefined categories based on their visual content. This technology enables computers to analyze and understand images much like a human would, identifying objects, scenes, or features within the images. AI image categorization is widely used in applications such as content moderation, digital asset management, e-commerce, and autonomous vehicles to efficiently organize and retrieve visual information.

What are the key skills and qualifications needed to thrive as an AI image categorization specialist, and why are they important?

To thrive as an AI Image Categorization Specialist, you need a solid understanding of image analysis, data labeling, and basic machine learning principles, often supported by a degree in computer science or a related field. Familiarity with annotation tools, image processing software, and platforms like TensorFlow or PyTorch is typically required. Attention to detail, critical thinking, and effective communication are vital soft skills for maintaining high data quality and collaborating with AI development teams. These skills ensure accurate dataset creation, which is crucial for training reliable AI models and advancing computer vision applications.

What are some typical challenges faced in AI image categorization roles, and how can they be addressed?

Professionals in AI image categorization often encounter challenges such as dealing with large, diverse datasets, managing ambiguous or low-quality images, and ensuring consistent labeling. Addressing these issues typically involves collaborating closely with data scientists, using data augmentation techniques, and implementing robust quality control processes. Staying updated on the latest AI tools and best practices can also help streamline workflows and improve the accuracy of categorization tasks.

What is the difference between Ai Image Categorization vs Data Labeler?

AspectAi Image CategorizationData Labeler
Required credentialsBasic understanding of AI and image dataBasic computer skills, attention to detail
Work environmentTech companies, remote or office-basedData annotation projects, often remote
Industry usageAI development, machine learningData preparation for AI models
Search intentUnderstanding AI image tasksFinding data annotation jobs

Ai Image Categorization involves classifying images into predefined categories using AI tools, often requiring some technical knowledge. Data Labeler focuses on manually annotating data, including images, to prepare datasets for machine learning. While both roles support AI development, Ai Image Categorization emphasizes automated classification, whereas Data Labeler emphasizes manual annotation.

What other helpful pages are available for Ai Image Categorization?

Other pages related to Ai Image Categorization:

Infographic showing various Ai Image Categorization job openings in the United States as of September 2026, with employment types broken down into 92% Full Time, and 8% Temporary. Highlights an 69% In-person, 8% Hybrid, and 23% Remote job distribution, with an average salary of $45,978 per year, or $22.1 per hour.

CCYP Digital Content & Web Coordinator

Rosemead, CA • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

Other

Medical, PTO

Posted 6 days ago

Job description

Benefits:



  • Competitive salary

  • Free food & snacks

  • Health insurance

  • Opportunity for advancement

  • Paid time off


We are looking for a detail-oriented, digitally savvy Digital Content & Web Coordinator to help maintain and strengthen CCYP’s growing portfolio of web properties, business directories, digital content, and online business information. In this role, you will be responsible for the day-to-day content management behind CCYP’s digital ecosystem, from updating business listings and directory information to publishing articles, refreshing website pages, organizing images and digital assets, and ensuring that information across our platforms remains accurate, professional, and up to date. This is not a web development or programming position.


The Role

  • Website Content Management: Update existing pages and publish new content across CCYP-owned websites using content management systems such as WordPress or similar platforms.

  • SEO & AEO Content Support: Apply basic SEO and Answer Engine Optimization best practices when publishing content, including page titles, descriptions, headings, internal links, structured information, business categories, and other content elements that improve digital discoverability.

  • Bilingual Content Coordination: Support English- and Chinese-language content across CCYP properties, including formatting, proofreading, data entry, categorization, and ensuring bilingual information is properly displayed.


Requirements

  • Digital Literacy: Strong general understanding of websites, online business listings, search engines, social platforms, digital content, and how users discover businesses online.

  • SEO Knowledge: Familiarity with page titles, meta descriptions, headings, links, keywords, image optimization, categories, tags, and other foundational SEO concepts.

  • CMS & Website Comfort: Experience working with WordPress, another content management system, website builders, online directories, e-commerce platforms, or similar digital publishing environments.

  • Technical Curiosity: Willingness to learn new CMS platforms, AI tools, content systems, database interfaces, and emerging digital publishing technologies.

  • Bilingual Ability: Strong English and Chinese reading ability is highly preferred, particularly because CCYP manages a significant amount of bilingual business and editorial content. Mandarin speaking ability is also a strong plus.


Preferred Qualifications

  • Familiarity with Google Search, Google Business Profiles, Google Search Console, analytics platforms, or similar digital tools.

  • Basic image editing or image preparation experience using tools such as Canva, Photoshop, or similar applications.

  • Familiarity with SEO, local search, structured data, schema markup, or Answer Engine Optimization (AEO) is a plus.

  • Experience using AI tools for research, content preparation, categorization, summarization, data cleanup, or content quality control is a plus.

  • Experience working with Chinese-language websites, media, directories, or business information is especially valuable.


Why CCYP: A Legacy of Excellence, A Future of Innovation

Founded in the 1980s, CCYP has served as a cornerstone of the Chinese-American business community for over four decades. From the era of high-authority print business directories to the rise of search, websites, social media, video, and now artificial intelligence, CCYP has continuously evolved alongside the businesses and communities we serve.


CCYP is currently building our transition into an AI-first B2B ecosystem. We are developing the infrastructure for a new generation of business discovery and visibility services, including Answer Engine Optimization (AEO), Verified Business Certification, structured business intelligence, digital media, and AI-powered business solutions. Search engines, answer engines, AI agents, consumers, and businesses all depend on reliable digital information to understand who a business is, what it does, where it operates, and why it should be trusted.


Help us organize the business information of the past 40 years—and prepare it for the next generation of digital and AI discovery.

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