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Image Annotation Jobs (NOW HIRING)

Vadum Inc

Data Labeling Specialist

Raleigh, NC · On-site

$12 - $15/hr

Description We are seeking a detail-oriented Data Labeling Specialist temporarily (6 months) to support image annotation projects. In this role, you will review images and accurately assign the ...

1 point system

2D/3D Engineer

Orlando, FL · On-site

Experience with 2D/3D data analysis, including point cloud processing and image annotation. * Proficiency in Python and relevant libraries (e.g., OpenCV, PCL, NumPy). * Familiarity with 3D geometry ...

Careerflow

Japanese Data Annotator

$640/wk

Not voice-based -- text and image annotation only * No Interview, only assessment: 15-20 minute language skills assessment You will be working for Careerflow on behalf of one of our clients.

Rivian

Sr. Software Analyst, Data, Autonomy

Palo Alto, CA · On-site

$132.10 - $165.10/hr

Experience analyzing LiDAR point clouds, video, and image annotation data. * Ability to manage multiple projects, prioritize effectively, and deliver under tight timelines. * Strong written and ...

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Image Annotation information

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$759

$2.1K

$3.1K

How much do image annotation jobs pay per week?

As of Aug 25, 2026, the average weekly pay for image annotation in the United States is $2,116.79, according to ZipRecruiter salary data. Most workers in this role earn between $1,557.69 and $2,634.62 per week, depending on experience, location, and employer.

What is an image annotation?

An Image Annotation job involves labeling or tagging objects, regions, or features within images to train machine learning models. Annotators use various techniques, such as bounding boxes, polygons, or key points, to define elements in images. This work is essential for tasks like object detection, image segmentation, and facial recognition. Image annotation helps improve AI accuracy in applications such as autonomous vehicles, medical imaging, and security systems.

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

To thrive as an Image Annotation professional, attention to detail, strong visual perception, and accuracy are essential, often complemented by a high school diploma or relevant experience in data labeling or computer vision projects. Familiarity with annotation tools such as LabelImg, CVAT, or Supervisely, and a basic understanding of file formats and image labeling standards are typically required. Excellent communication, time management, and the ability to focus on repetitive tasks help individuals excel in this position. These skills ensure high-quality annotated data, which is critical for training reliable machine learning and AI models.

What are some common challenges faced by image annotation specialists in their daily work?

Image annotation specialists often encounter challenges such as maintaining accuracy and consistency when labeling large volumes of images, especially when object boundaries are ambiguous or vary across images. The need to meet tight project deadlines while ensuring high-quality output can be demanding, and handling repetitive tasks may require sustained focus and attention. Collaboration with machine learning engineers or project managers is common, as they may provide feedback or clarification on annotation guidelines. Despite these challenges, working in image annotation offers the opportunity to contribute directly to cutting-edge AI technologies and gain valuable experience in the growing field of computer vision.

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Cities with the most Image Annotation job openings:

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

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What states have the most Image Annotation jobs?

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Image Annotation jobs near you
Infographic showing various Image Annotation job openings in the United States as of August 2026, with employment types broken down into 64% Full Time, 12% Part Time, and 24% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $110,073 per year, or $52.9 per hour.

Image process Technician

Broomfield, CO • On-site

Crox Consulting Inc
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Crox Consulting Incexternal

$16 - $17/hr

Contractor

Re-posted 6 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.