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Live In Image Annotation Jobs (NOW HIRING)

Avanciers Inc.

Dental Specialist

Manhattan, NY · Remote

... image annotation tools preferred Ability to work independently and efficiently in a remote environment Total Images: ~5,000 periapical images Annotation Scope: Each image annotated across Tooth ...

1 point system

2D/3D Engineer

Orlando, FL · On-site

Bachelor's or Master's degree in Computer Science, Engineering, Geomatics, Physics, or a related field. * Experience with 2D/3D data analysis, including point cloud processing and image annotation.

Scale AI

Field Engineer, Public Sector

Washington, DC · On-site

... in areas of Large Language Models, 2D Image Annotation, and working with API integrations • Evangelize Scale and interact with customers at major events • Have an active TS/SCI clearance ...

Scale AI

Field Engineer, Public Sector

Washington, DC · On-site

... in areas of Large Language Models, 2D Image Annotation, and working with API integrations • Evangelize Scale and interact with customers at major events • Have an active TS/SCI clearance ...

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Live In Image Annotation information

What is a Live In Image Annotation job?

A Live In Image Annotation job involves residing at a particular location or facility and performing the task of labeling or tagging objects, features, or data within digital images. This work is usually part of larger projects in fields like artificial intelligence, machine learning, or computer vision, where accurately annotated images are crucial for training algorithms. The job may require familiarity with specialized software tools and a keen attention to detail. Annotators play a critical role in helping computers 'see' and understand images by providing clear and consistent labels. Often, these positions are found in research centers, data collection facilities, or companies specializing in AI development.

What are some of the common challenges faced by Live In Image Annotation professionals, and how can they be addressed?

Live In Image Annotation professionals often encounter challenges such as maintaining high accuracy while working with large volumes of data, meeting tight deadlines, and handling ambiguous images that require careful judgment. To address these challenges, it's important to stay organized, regularly communicate with team members and project managers, and utilize annotation tools efficiently. Ongoing training and feedback can also help improve both speed and precision, ensuring the quality of annotated data meets industry standards.

What is the difference between Live In Image Annotation vs Image Labeling Specialist?

AspectLive In Image AnnotationImage Labeling Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOn-site or remote, often in a dedicated workspaceRemote or on-site, flexible environment
Industry UsageAI training, autonomous vehicles, surveillanceData annotation for machine learning, AI models
Job FocusReal-time annotation, often involving live video or imagesBatch annotation, static images

Live In Image Annotation involves real-time, often on-site annotation of images or videos, suitable for applications like autonomous driving or surveillance. In contrast, Image Labeling Specialists typically perform batch annotation of static images for training AI models, often remotely. Both roles require attention to detail and basic technical skills but differ mainly in real-time versus batch work and work environment.

What are the key skills and qualifications needed to thrive as a Live In Image Annotation Specialist, and why are they important?

To thrive as a Live In Image Annotation Specialist, you need strong attention to detail, proficiency in visual analysis, and a basic understanding of data labeling processes, typically supported by a high school diploma or equivalent. Familiarity with annotation tools like Labelbox, CVAT, or Supervisely, and sometimes basic coding knowledge, is often required. Excellent communication, time management, and adaptability are key soft skills for collaborating and meeting project deadlines. These competencies ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.
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What are the most commonly searched types of Image Annotation jobs? The most popular types of Image Annotation jobs are:
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What job categories do people searching Live In Image Annotation jobs look for? The top searched job categories for Live In Image Annotation jobs are:
Live In Image Annotation jobs near you
Infographic showing various Live In Image Annotation job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Image process Technician

Crox Consulting Inc

Broomfield, CO • On-site

$16 - $17/hr

Contractor

Posted 16 days ago

Job description

This role involves reviewing and analyzing digital images for quality, accuracy, and compliance with established standards. You will play a key role in ensuring the integrity of image data used for applications such as mapping, navigation, AI training, and transportation systems.

Key Responsibilities:

  • Review, evaluate, and tag digital images based on company standards and guidelines.

  • Identify and correct errors, inconsistencies, or anomalies in image content.

  • Maintain high productivity and accuracy levels while working with large volumes of data.

  • Collaborate with quality assurance and data teams to ensure image integrity and proper labeling.

  • Use specialized tools and software to perform image assessments and annotations.

  • Provide feedback and documentation on recurring image issues or system improvements.

  • Meet daily/weekly production targets and performance metrics.

  • Ensure confidentiality and security of sensitive visual data.

Qualifications:

  • High school diploma or GED required; Associate's or Bachelor's degree preferred.

  • 1+ year of experience in a detail-oriented or quality assurance role, ideally in image processing or digital review.

  • Excellent attention to detail and strong visual analysis skills.

  • Comfortable using computers and learning new software tools quickly.

  • Ability to work independently and as part of a team in a fast-paced environment.

  • Strong organizational and time management skills.

Preferred Skills:

  • Experience with GIS systems, image annotation, or machine learning datasets.

  • Familiarity with transportation, navigation, or mapping platforms.

  • Basic understanding of photography, digital imagery, or computer vision is a plus.