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Image Annotator Jobs (NOW HIRING)

Thinkfind

Image Annotator

Fort Worth, TX · Remote

$22.90/hr

The Image Annotator (also known as a Defect Annotator) is responsible for reviewing and analyzing machine vision-generated images produced by Thor Mountain Systems and making accurate annotations to ...

Gentuity

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

You will work with an experienced engineering team working on building AI algorithms for medical image analysis. The candidates will have an opportunity to contribute to several key AI projects and ...

Gentuity LLC

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Job Type Internship Description You will work with an experienced engineering team working on building AI algorithms for medical image analysis. The candidates will have an opportunity to contribute ...

Gentuity

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Description You will work with an experienced engineering team working on building AI algorithms for medical image analysis. The candidates will have an opportunity to contribute to several key AI ...

Grid Dynamics Holdings

Technical Project Manager

Design and enforce rigorous data auditing processes, measuring metrics like Inter-Annotator ... Hands-on experience designing and executing text, image, video, audio, or multimodal data labeling ...

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Image Annotator information

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$875

$1.7K

$2.4K

How much do image annotator jobs pay per week?

As of Aug 4, 2026, the average weekly pay for image annotator in the United States is $1,685.85, according to ZipRecruiter salary data. Most workers in this role earn between $1,423.08 and $1,894.23 per week, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an image annotator, and why are they important?

To thrive as an Image Annotator, you need strong attention to detail, visual accuracy, and a basic understanding of image processing, often supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, CVAT, or VIA, and experience with data labeling platforms are typically required. Excellent time management, consistency, and the ability to follow detailed instructions set top candidates apart. These skills ensure high-quality, reliable datasets that are critical for training accurate machine learning and computer vision models.

What are some common challenges faced by image annotators, and how can they be managed?

Image Annotators often encounter challenges such as maintaining high accuracy while labeling large volumes of data, handling ambiguous or low-quality images, and managing repetitive tasks that can lead to fatigue. To address these, many teams implement quality control processes, such as peer reviews or double-checking annotations, and provide regular training on updated guidelines. Taking scheduled breaks and using ergonomic tools can also help reduce fatigue and maintain focus throughout the workday.

What is an image annotator?

Image Annotators are professionals who label, tag, or categorize images to provide relevant data for machine learning and artificial intelligence systems. They use specialized tools to identify objects, regions, or features within images, ensuring that algorithms can learn to recognize and interpret visual information accurately. Image annotators play a critical role in industries like autonomous vehicles, healthcare, agriculture, and e-commerce, where annotated images are used to train computer vision models.

What is the difference between Image Annotator vs Data Labeler?

AspectImage AnnotatorData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageAI, machine learning, computer visionData management, AI training datasets
Search & Comparison IntentUnderstanding roles in AI data preparationSimilar data annotation tasks for machine learning

While both roles involve working with data to support AI and machine learning, an Image Annotator specifically focuses on labeling images with bounding boxes, tags, or segmentation masks. A Data Labeler may work with various data types, including images, text, or audio, but often has a broader scope. The Image Annotator role is more specialized in visual data, whereas Data Labelers may handle multiple data formats depending on project needs.

How do you become an image annotator?

To become an image annotator, you typically need basic computer skills, attention to detail, and familiarity with annotation tools or software. Some positions may require a high school diploma or equivalent, and training is often provided by the employer to learn specific annotation techniques and guidelines.
More about Image Annotator jobs
What are the most commonly searched types of Image Annotator jobs? The most popular types of Image Annotator jobs are:
What job categories do people searching Image Annotator jobs look for? The top searched job categories for Image Annotator jobs are:
Image Annotator jobs near you
Infographic showing various Image Annotator job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $87,664 per year, or $42.1 per hour.

Image Annotator

Thinkfind

Fort Worth, TX • Remote

$22.90/hr

Other

Re-posted 11 days ago

Job description

Job Description This is an excellent long-term, 100% remote contract opportunity for a highly detail-oriented professional. The Image Annotator (also known as a Defect Annotator) is responsible for reviewing and analyzing machine vision-generated images produced by Thor Mountain Systems and making accurate annotations to support the development of defect detection models. This role involves identifying, classifying, and documenting track-related defects and obstruction objects through a simple user interface.

Team members use data-driven processes to locate and review images containing defects of interest, which are maintained within a prioritized project framework supporting a multi-year initiative. The ideal candidate possesses moderate to advanced computer skills, exceptional attention to detail, and a strong sense of responsibility. Previous administrative experience is preferred.

Candidates must be able to work effectively in a team environment, communicate clearly both verbally and in writing, and maintain a professional work ethic while focusing on repetitive image review tasks for extended periods. Duties include reviewing large volumes of images, identifying and classifying obstruction objects and other track-related conditions, making accurate notations, and contributing to the ongoing improvement of machine vision detection systems. This position is expected to be a typical 40-hour work week, with occasional overtime opportunities as business needs require.

*Local candidates are preferred.*

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