Remote AI Data Annotator - Entry-Level Image Labeling

Expedock; Oregon; Híbrido; USD 17.000 - 25.000; Jornada completa

Descripción de la vacante

Expedock is seeking an entry-level AI Data Annotator to join our remote team. You will perform image labeling tasks such as polygons, bounding boxes, and semantic segmentation across diverse datasets including roads, vehicles, and satellite imagery.

The role emphasizes accuracy, adherence to guidelines, and daily productivity within a collaborative team. As an ideal candidate, you have a keen eye for detail, basic computer skills, and an interest in AI/Data labeling.

Formación

• Good attention to detail and a careful eye for visual accuracy.
• Basic computer skills; experience with annotation tools is a plus but not required.
• Willingness to learn and follow structured guidelines.
• Clear communication for asking questions or reporting issues.
• Comfortable working in a remote setup with productivity tracking.

Responsabilidades

• Perform basic image segmentation and object labeling with polygons, bounding boxes, and semantic segmentation.
• Label datasets such as roads, vehicles, curbs, lane markings, satellite imagery, blueprints, roofing, etc.
• Maintain QA checks and guidelines to ensure accuracy.
• Meet daily productivity goals and keep projects on track.
• Ask questions and collaborate with team leads to resolve unclear tasks.
• Suggest small workflow improvements for efficiency.

Conocimientos

Attention to detail

Communication skills

Basic computer skills

Annotation tools

Willingness to learn

Herramientas

Labelbox

CVAT

Supervisely

Descripción del empleo

Expedock is seeking an entry-level AI Data Annotator to join our remote team. You will perform image labeling tasks such as polygons, bounding boxes, and semantic segmentation across diverse datasets including roads, vehicles, and satellite imagery.

The role emphasizes accuracy, adherence to guidelines, and daily productivity within a collaborative team. As an ideal candidate, you have a keen eye for detail, basic computer skills, and an interest in AI/Data labeling.