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Contract Remote Image Segmentation Jobs in Texas

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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Contract Remote Image Segmentation information

What is the difference between Contract Remote Image Segmentation vs Contract Remote Data Labeling Specialist?

AspectContract Remote Image SegmentationContract Remote Data Labeling Specialist
CredentialsBasic understanding of image annotation tools, sometimes certifications in image processingSimilar; often requires knowledge of labeling tools and data annotation standards
Work EnvironmentRemote, project-based, focused on image dataRemote, project-based, involves labeling various data types including images, text, and audio
Industry UsageTech, AI, healthcare, autonomous vehiclesTech, AI, e-commerce, healthcare, research

Contract Remote Image Segmentation specialists focus specifically on dividing images into meaningful parts for AI training, while Contract Remote Data Labeling Specialists handle a broader range of data types. Both roles are remote, require familiarity with annotation tools, and are vital in AI development. The main difference lies in the scope of data handled, with image segmentation being a specialized subset of data labeling.

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Contract Remote Image Segmentation jobs near you

Image Annotator

Thinkfind

Fort Worth, TX • Remote

$22.90/hr

Full-time

Re-posted 23 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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