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From Home Image Annotation Jobs (NOW HIRING)

1 point system

2D/3D Engineer

Orlando, FL · On-site

Experience with 2D/3D data analysis, including point cloud processing and image annotation ... Ability to calculate geometric properties (angles, distances, object counts) from 3D data. * Strong ...

Sunday Inc

Data Annotation Lead

Redwood City, CA · On-site

Join Us in Building the Future of Home Robotics At Sunday, we're developing personal robots to ... from you. What to Expect We're looking for a Data Annotations Lead to join our Data team and own ...

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From Home Image Annotation information

What is a From Home Image Annotation job?

A From Home Image Annotation job involves labeling or tagging images with relevant information to train artificial intelligence (AI) and machine learning models. Annotators work remotely, using specialized tools to draw boxes, classify objects, or add descriptions to images. These tasks help improve AI systems for applications like self-driving cars, medical imaging, and facial recognition. No advanced technical skills are usually required, but attention to detail and accuracy are essential.

What are the typical daily responsibilities for a From Home Image Annotation job?

As a From Home Image Annotation professional, your day-to-day tasks involve reviewing digital images and tagging, labeling, or segmenting specific objects or features according to project guidelines. You'll often use specialized online annotation tools and may need to complete assigned image batches within set timelines. Communication with team leads or quality reviewers occurs through chat or project management systems, especially when clarifications are needed. Maintaining accuracy and consistency across annotations is critical, as this data is often used to train artificial intelligence systems. Depending on the project, you might also participate in brief virtual training sessions or feedback meetings.

What are the key skills and qualifications needed to thrive in the From Home Image Annotation position, and why are they important?

To thrive as a From Home Image Annotation specialist, you need keen attention to detail, basic computer proficiency, and knowledge of image labeling processes. Familiarity with image annotation tools such as Labelbox, VGG Image Annotator, or proprietary client platforms is often expected, while formal certifications are rarely required. Strong time management, self-motivation, and the ability to follow detailed instructions are standout soft skills for this role. These skills ensure that annotations are accurate, consistent, and completed efficiently to meet project deadlines and quality standards.

More about From Home Image Annotation jobs
What cities are hiring for From Home Image Annotation jobs? Cities with the most From Home Image Annotation job openings:
What are the most commonly searched types of Image Annotation jobs? The most popular types of Image Annotation jobs are:
What states have the most From Home Image Annotation jobs? States with the most job openings for From Home Image Annotation jobs include:
What job categories do people searching From Home Image Annotation jobs look for? The top searched job categories for From Home Image Annotation jobs are:
From Home Image Annotation jobs near you
Infographic showing various From Home Image Annotation job openings in the United States as of July 2026, with employment types broken down into 25% Full Time, 67% Part Time, and 8% Contract. Highlights an 83% In-person, and 17% Remote job distribution.

2D/3D Engineer

1 point system

Orlando, FL • On-site

Contractor

Re-posted 29 days ago

Job description

Requirements

  • 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.
  • Proficiency in Python and relevant libraries (e.g., OpenCV, PCL, NumPy).
  • Familiarity with 3D geometry, spatial analysis, and computer vision techniques.
  • Ability to calculate geometric properties (angles, distances, object counts) from 3D data.
  • Strong attention to detail and a methodical approach to data inspection and annotation.
  • Good command of English (spoken and written).
  • Willingness to work in a collaborative, international team environment.