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Image Tagging Jobs (NOW HIRING)

Pocstock, Inc.

Data Pipeline Engineer

Newark, NJ · On-site

$90 - $120/hr

Handle large volumes of image, video, and metadata across workflows * Work with our AI tools for review, tagging, classification, and data enrichment * Monitor systems and resolve issues quickly to ...

URBN

URBN Senior Data Scientist

Philadelphia, PA · On-site

Leverage multimodal and vision-language models for image understanding, visual analysis, automated tagging, and quality evaluation within generative workflows. * Evaluate, prototype, and integrate ...

Next Frontier Capital

Applied AI/ML Lead

Tampa, FL · On-site

$180 - $280/hr

Lead the design, development, and production deployment of AI/ML solutions focused on image ... tagging of OCR‑extracted text. * Lead the integration and optimization of OCR technology and ...

J.P. Morgan

Applied AI/ML Lead

Tampa, FL

Lead the design, development, and production deployment of AI/ML solutions focused on image ... tagging of OCR-extracted text. * Lead the integration and optimization of OCR technology and ...

JPMorgan Chase & Co

Applied AI/ML Lead

Tampa, FL · On-site

Lead the design, development, and production deployment of AI/ML solutions focused on image ... tagging of OCR-extracted text. * Lead the integration and optimization of OCR technology and ...

JPMorgan Chase & Co.

Applied AI/ML Lead

Tampa, FL · On-site

Lead the design, development, and production deployment of AI/ML solutions focused on image ... tagging of OCR-extracted text. * Lead the integration and optimization of OCR technology and ...

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All JobsImage Tagging Jobs

Image Tagging information

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$45.5K

$54.1K

$59K

How much do image tagging jobs pay per year?

As of Sep 7, 2026, the average yearly pay for image tagging in the United States is $54,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $59,000.00 per year, depending on experience, location, and employer.

What is an image tagging?

An Image Tagging job involves labeling or annotating images with relevant keywords, tags, or metadata to make them searchable and organized. This is commonly used in AI training, content management, and e-commerce to improve image recognition and classification. Taggers analyze images and assign descriptive terms based on objects, emotions, colors, or context. This process helps improve search accuracy and enhances machine-learning models.

What are the key skills and qualifications needed to thrive in the image tagging position, and why are they important?

To thrive as an Image Tagging professional, you need keen attention to detail, visual analysis skills, and a basic understanding of image classification or categorization. Familiarity with annotation tools, content management systems, or machine learning platforms is commonly required, though formal certifications are typically not necessary for entry-level roles. Strong time management, consistency, and the ability to follow detailed guidelines help individuals excel in this position. These skills ensure accuracy and efficiency when labeling images, which is critical for the quality of datasets used in AI and digital content applications.

What are the typical challenges faced in an image tagging role, and how can I prepare for them?

Image Tagging professionals often encounter repetitive tasks and need to maintain high accuracy across large volumes of images, which can be challenging over long periods. Staying focused and avoiding fatigue is important, as small mistakes can impact the quality of machine learning data or digital content. Developing strategies like taking scheduled breaks, using ergonomically-friendly setups, and double-checking work can help manage these challenges. Communicating regularly with your team and seeking feedback also helps improve performance and ensures consistency in tagging standards.

More about Image Tagging jobs

What cities are hiring for Image Tagging jobs?

Cities with the most Image Tagging job openings:

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

The most popular types of Image Tagging jobs are:

What states have the most Image Tagging jobs?

States with the most job openings for Image Tagging jobs include:

What job categories do people searching Image Tagging jobs look for?

The top searched job categories for Image Tagging jobs are:

Image Tagging jobs near you
Infographic showing various Image Tagging job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $54,138 per year, or $26 per hour.

DevOps Delivery Engineer

Camgian Corporation

Huntsville, AL • On-site

Full-time

Re-posted 2 days ago

Job description

Camgian is seeking a DevOps Delivery Engineer to support software release execution, Kubernetes-based deployments, and Helm-enabled container delivery across development, staging, and production environments. This role focuses on building reliable release pipelines, packaging applications for deployment, coordinating release readiness, and improving repeatable delivery practices across engineering teams.
Qualifications:
  • Bachelor's degree in computer science, Software Engineering, or related field.
  • 2-5 years of DevOps, release engineering, SRE, platform, or automation experience.
  • Hands-on experience with Kubernetes, Helm, Docker, and containerized application delivery.
  • Experience with CI/CD tools such as Jenkins, GitLab, Bitbucket, or similar.
  • Strong Linux fundamentals and scripting experience with Bash, Python, or similar.
  • Experience with branching, merging, tagging, versioning, and release promotion workflows.
  • Familiarity with artifact repositories, container registries, and dependency management.
  • Understanding of deployment validation, rollback planning, and release governance.
  • Strong communication skills and ability to coordinate across engineering teams.
  • U.S. citizenship required.

Desired Skills:
  • Experience with Ansible, Terraform, or Infrastructure as Code.
  • Familiarity with Prometheus, Grafana, ELK, OpenSearch, or Splunk.
  • Exposure to vulnerability scanning tools such as Anchore, Xray, Tenable/Nessus, or similar.
  • Familiarity with Kubernetes secrets, Vault, AWS Secrets Manager, or secure configuration practices.
  • Experience supporting regulated environments, RMF, NIST 800-171, NIST 800-53, or ATO-related delivery.
  • Experience with release checklists, deployment gates, quality gates, and production readiness reviews.

Responsibilities:
  • Own and support release delivery workflows for containerized applications deployed to Kubernetes.
  • Package and deploy applications using Helm charts, Kubernetes manifests, and container delivery patterns.
  • Support Docker image creation, tagging, promotion, scanning, and release traceability.
  • Coordinate release readiness across engineering, DevOps, QA, security, and product stakeholders.
  • Maintain deployment documentation, release notes, rollback plans, and operational runbooks.
  • Troubleshoot deployment issues across development, staging, and production-like environments.
  • Improve release repeatability through automation, templates, standards, and pipeline hardening.
  • Support artifact management using Artifactory or equivalent repositories.
  • Assist with configuration management, environment promotion, secrets handling, and deployment validation.
  • Contribute to secure and compliant delivery practices in regulated environments.

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