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At Home Image Annotation Jobs (NOW HIRING)

Vadum Inc

Data Labeling Specialist

Raleigh, NC

$12 - $15/hr

... image annotation projects. In this role, you will review images and accurately assign the ... Work is sedentary and usually accomplished while sitting at a desk and working on a computer.

Vadum, Inc.

Data Labeling Specialist

Raleigh, NC · On-site

$12 - $15/hr

... image annotation projects. In this role, you will review images and accurately assign the ... Work is sedentary and usually accomplished while sitting at a desk and working on a computer.

Vadum Inc

Data Labeling Specialist

Raleigh, NC · On-site

$12 - $15/hr

... image annotation projects. In this role, you will review images and accurately assign the ... Work is sedentary and usually accomplished while sitting at a desk and working on a computer.

Free resume

Much of the job comes down to this: look at the image, look at what the model said about it, and ... Experience in image annotation, content review, editing, research, design, or localization is ...

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Rivian

Sr. Software Analyst, Data, Autonomy

Palo Alto, CA · On-site

$101K - $127K/yr

... at scale. This role plays a critical part in enabling informed decision‑making, continuous ... Experience analyzing LiDAR point clouds, video, and image annotation data. * Ability to manage ...

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At Home Image Annotation information

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How much do at home image annotation jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for at home image annotation in the United States is $20.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.08 per hour, depending on experience, location, and employer.

What is at home image annotation?

At home image annotation is a remote job where individuals label or tag objects, features, or areas within digital images to help train artificial intelligence (AI) systems. This process involves using specialized software to draw boxes, outlines, or points on images and assign labels to them based on specific instructions. The annotated images are then used by companies to improve machine learning models for tasks such as image recognition, autonomous vehicles, and medical diagnostics. Working from home, annotators usually need a computer, reliable internet, and attention to detail. The job is often flexible and can be done part-time or full-time.

What skills and qualifications are needed for at home image annotation?

To thrive as an At Home Image Annotation Specialist, you need attention to detail, strong visual perception, and a basic understanding of data labeling concepts, usually supported by a high school diploma or equivalent. Familiarity with annotation platforms like Labelbox, Supervisely, or VIA, and sometimes experience with basic image editing tools, is often required. Strong self-motivation, communication skills, and the ability to follow complex instructions help individuals excel in remote, independent work environments. These skills ensure high-quality, accurate datasets that are crucial for training reliable computer vision models.

What are common challenges faced by at home image annotation professionals, and how can they be managed?

At-home image annotation professionals often face challenges such as maintaining focus during repetitive tasks, meeting tight deadlines, and ensuring high accuracy in their work. To manage these, it's helpful to set up a dedicated workspace, use productivity techniques like the Pomodoro method, and regularly review guidelines to minimize errors. Collaborating through online team channels and seeking feedback can also help maintain quality and stay connected with the team, even while working remotely.

What is the difference between At Home Image Annotation vs Data Labeler?

AspectAt Home Image AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based or office
Industry UsageAI training, autonomous vehicles, medical imagingMachine learning, AI datasets, various industries
Job FocusAnnotating images for AI modelsLabeling data for machine learning

Both At Home Image Annotation and Data Labeler roles involve preparing data for AI systems, often working remotely with similar skills. However, At Home Image Annotation specifically emphasizes annotating images, while Data Labeler may include a broader range of data types. The roles are often interchangeable depending on the project, but understanding the specific focus can help in job selection.

More about At Home Image Annotation jobs

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At Home Image Annotation jobs near you
Infographic showing various At Home Image Annotation job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 76% Full Time, 19% Part Time, and 3% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $42,886 per year, or $20.6 per hour.

Data Labeling Specialist

Raleigh, NC

Vadum Inc
See more jobs at Vadum Incexternal

$12 - $15/hr

Full-time

Re-posted 24 days ago

Job description

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 appropriate labels based on provided guidelines.


Job Duties and Responsibilities


Review and analyze images.

Apply accurate labels according to project instructions and quality standards.

Maintain high levels of accuracy and consistency across assigned tasks.

Follow labeling guidelines and update annotations as needed based on feedback.

Meet productivity and quality targets while ensuring attention to detail.


Other Duties

May be required to perform other duties as assigned by management, which are reasonably within the scope of the position.

Requirements

  • Strong logical thinking and problem-solving skills.
  • Ability to visually identify objects and distinguish fine details in images.
  • Excellent attention to detail and accuracy.
  • Ability to follow detailed instructions and labeling guidelines.
  • Basic computer skills and ability to work independently.
  • Previous experience in data labeling, image annotation, or quality assurance.
  • Familiarity with AI, machine learning, or annotation tools is a plus, but not required.

Physical Demands

  • Work is sedentary and usually accomplished while sitting at a desk and working on a computer.
  • Some walking and standing may occur in the course of a normal workday to attend meetings.
  • Items carried typically are light objects weighing less than 15 lbs. such as a notebook, laptop, backpack.
  • Lifting moderately heavy objects is not normally required.
  • Work requires ability to operate standard office and computer equipment.

Work Environment

  • Work is performed in an office environment.


Travel

  • None.

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