Data Annotator

This is a fully remote position, open to applicants in United States.

📋 Description

• Conduct fundamental image segmentation and object labeling utilizing polygons, bounding boxes, and semantic segmentation techniques.

• Engage with datasets that encompass roads, vehicles, curbs, lane markings, satellite images, blueprints, and roofing materials.

• Maintain accuracy by adhering to QA checks and labeling protocols.

• Achieve daily productivity targets and assist in keeping projects on schedule.

• Pose questions and collaborate with team leads to clarify ambiguous labeling assignments.

• Propose minor workflow enhancements.

• Fulfill performance standards regarding daily image-labeling output, annotation precision, guideline adherence, and turnaround times.

⛳️ Requirements

• This is an entry-level position; no prior experience with AI or computer vision datasets is necessary.

• Strong attention to detail and a keen eye for visual precision.

• Basic proficiency in computer skills.

• Familiarity with annotation tools such as Labelbox, CVAT, or Supervisely is advantageous but not mandatory.

• Eagerness to learn and adhere to structured guidelines.

• Strong communication skills for inquiring or reporting issues effectively.

• Comfortable in both remote and team-oriented environments with productivity monitoring.

🏝️ Benefits

• Flexible remote work arrangement.

• Employment based on project requirements.