In this role, you will label images or videos by segmenting objects into regions or classes with precision, supporting the development of AI/ML models for advanced object recognition and analysis.
What We Offer
Competitive pay based on the quality and volume of annotations.
Flexible working hours to accommodate your schedule.
Training and resources to enhance your skills.
Opportunities to contribute to cutting-edge AI projects across industries.
Responsibilities
Annotate and segment images or videos into specific regions or categories as per project guidelines.
Ensure high-quality, consistent annotations to meet project standards.
Conduct thorough quality checks and make necessary adjustments.
Communicate with project managers for clarification on guidelines or tasks.
Adhere to deadlines and meet required annotation volume targets.
Required skills
Experience in segmentation annotation or related data labeling tasks.
Proficiency in using annotation tools/software (e.g., CVAT, LabelMe, or similar platforms).
Strong attention to detail and ability to follow precise guidelines.
Excellent organizational and time management skills.
A reliable internet connection and ability to work independently.
Preferred skills
Basic understanding of AI/ML concepts, especially in computer vision, is a plus.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.