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Annotator Job 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 ...

IntelliPro Group Inc.

Data Annotator

San Francisco, CA · On-site

$35 - $40/hr

Data Annotator Location: San Francisco, CA 94158 Duration: 6 Months Pay Rate : $35-$40/hr Top 3 Responsibilities * Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding ...

IntelliPro Group Inc.

Data Annotator

San Francisco, CA · On-site

Data Annotator Location: San Francisco, CA 94158 Duration: 6 Months Pay Rate : $35-$40/hr Top 3 Responsibilities * Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding ...

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How much do annotator job jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for annotator job in the United States is $22.63, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $25.00 per hour, depending on experience, location, and employer.

What qualifications do you need to be a data annotator?

Data annotators typically need a high school diploma or equivalent, strong attention to detail, and basic computer skills. Familiarity with annotation tools and the ability to follow guidelines accurately are also important for success in this role.

What are annotator jobs?

Annotator jobs involve labeling, tagging, or adding metadata to data such as text, images, audio, or video. This work is crucial for training artificial intelligence and machine learning systems, as annotated data helps computers learn to recognize patterns and make decisions. Annotators must pay close attention to detail and generally follow specific guidelines to ensure consistency and accuracy in their work. These jobs can be found in various industries, including technology, healthcare, and autonomous vehicles.

How much do data annotators get paid?

Data annotators typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Some positions may offer fixed project-based pay or part-time schedules, with higher rates for specialized or technical annotations.

What is the work of an annotator?

An annotator is responsible for labeling and categorizing data, such as images, text, or videos, to help train machine learning models. This work often involves using specialized tools and requires attention to detail to ensure data accuracy and consistency.

What is the difference between Annotator Job vs Data Labeler?

AspectAnnotator JobData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsSimilar; often requires basic education and attention to detail
Work EnvironmentRemote or office-based; working with datasets and annotation toolsPrimarily remote; focused on labeling data for machine learning
Employer & Industry UsageTech companies, AI firms, research institutionsSame as Annotator Job; used interchangeably in many contexts

Both Annotator Jobs and Data Labelers perform similar roles in preparing data for AI and machine learning. While the titles are often used interchangeably, 'Annotator Job' may emphasize the annotation process, whereas 'Data Labeler' highlights the labeling aspect. Both roles require attention to detail and basic technical skills, and they are commonly found in tech and AI industries.

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

To thrive as an Annotator, you need excellent attention to detail, strong reading comprehension, and familiarity with data labeling or annotation guidelines, often supported by a high school diploma or relevant experience. Proficiency with annotation platforms and tools such as Labelbox, Prodigy, or basic spreadsheets is typically required. Strong communication skills, time management, and the ability to follow precise instructions help individuals stand out in this position. These skills ensure high-quality, accurate data annotation, which is crucial for training reliable AI and machine learning models.

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

Annotators often encounter challenges such as maintaining accuracy while handling repetitive tasks, interpreting ambiguous data, and meeting tight deadlines. To manage these challenges, it's important to develop strong attention to detail, take regular breaks to avoid fatigue, and seek clarification from team leads when instructions are unclear. Collaborating with peers and participating in review sessions can also help improve consistency and resolve uncertainties in data labeling. Many organizations provide training and feedback to help annotators continuously refine their skills.

Is it hard to get hired for data annotation?

Getting hired as a data annotator can vary depending on the employer and the complexity of the annotation tasks. Generally, basic data annotation roles require attention to detail and sometimes familiarity with specific tools or guidelines, but they often do not require extensive experience or advanced qualifications. Competition may be moderate, and some positions are available as entry-level work with flexible schedules.
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What job categories do people searching Annotator Job jobs look for? The top searched job categories for Annotator Job jobs are:
Annotator Job jobs near you
Infographic showing various Annotator Job job openings in the United States as of July 2026, with employment types broken down into 16% Locum Tenens, 9% Internship, 52% As Needed, 22% Nights, and 1% Summer. Highlights an 39% Physical, 1% Hybrid, and 60% Remote job distribution, with an average salary of $47,067 per year, or $22.6 per hour.
Image Annotator

Image Annotator

Thinkfind

Fort Worth, TX • Remote

$22.90/hr

Other

Posted 19 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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