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Remote Annotator Jobs (NOW HIRING)

Thinkfind

Image Annotator

Fort Worth, TX · Remote

$22.90/hr

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 ...

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Remote Annotator information

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

To thrive as a Remote Annotator, you need strong attention to detail, data entry accuracy, and familiarity with data labeling or annotation concepts, often supported by a high school diploma or equivalent. Proficiency with online annotation platforms, tools like Labelbox or Supervisely, and sometimes knowledge of basic programming or image editing software is valuable. Excellent time management, self-motivation, and clear communication skills help you excel in independent and collaborative remote environments. These skills ensure that annotated data is accurate, consistent, and valuable for training reliable AI and machine learning systems.

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

Remote annotators often encounter challenges such as maintaining focus during repetitive tasks, managing deadlines across multiple projects, and ensuring clear communication with project managers or team leads in a virtual environment. To address these, it's helpful to establish a dedicated workspace, use productivity tools to track progress, and proactively seek clarification on guidelines when needed. Building a routine and participating in team check-ins can also foster engagement and help annotators stay aligned with project requirements.

What is the difference between Remote Annotator vs Data Labeler?

AspectRemote AnnotatorData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentRemote, often collaborative with teamsRemote or on-site, often individual work
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, data processing
Common Search/ComparisonRemote Annotator vs Data Labeler

The main difference between a Remote Annotator and a Data Labeler lies in the scope of work. Remote Annotators often perform detailed annotations, such as labeling images, videos, or audio for AI training, requiring some technical skills. Data Labelers typically focus on basic labeling tasks with minimal technical requirements. Both roles are remote and used in similar industries like AI and machine learning, but Remote Annotators usually handle more complex annotation tasks.

What are remote annotators?

Remote annotators are professionals who label, tag, or categorize data—such as images, text, audio, or video—from a remote location, usually working from home. They play an essential role in preparing data for machine learning models and artificial intelligence systems by ensuring the information is accurately annotated. Remote annotators often use specialized software to complete their tasks and need strong attention to detail. This job is ideal for those seeking flexible, work-from-home opportunities and is common in industries like technology, healthcare, and autonomous vehicles.
More about Remote Annotator jobs
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Remote Annotator jobs near you
Infographic showing various Remote Annotator job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Image Annotator

Image Annotator

Thinkfind

Fort Worth, TX • Remote

$22.90/hr

Other

Posted 29 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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