Data Annotator

We are seeking experienced Data Annotators to join our team for ongoing projects involving precise image annotation tasks. The roles primarily focus on PSD Bounding Box Annotation using the labelAgent tool and Frame-level Segmentation Annotation. Candidates will be responsible for delivering high-quality annotations that meet strict project guidelines and productivity targets.

Key Responsibilities:
- Perform accurate bounding box annotations of objects using the labelAgent tool.
- Complete frame-level segmentation annotations as required by the FD Segmentation project.
- Achieve a daily productivity target of annotating 20 to 25+ objects.
- Ensure all annotations strictly adhere to the quality standards set by the project.
- Review and correct any rejected work promptly to maintain project timelines and quality expectations.

Required Qualifications:
- Proven practical experience in data annotation, specifically with bounding boxes and segmentation tasks.
- Ability to follow detailed project guidelines and maintain consistent annotation quality.
- Strong attention to detail to ensure every annotation meets the required standards.
- Commitment to quality, with an understanding that low-quality work will not be accepted and may result in removal from the project.

Preferred Qualifications and Benefits:
- Payment will be based on the applicable productivity tier, rewarding efficient and high-quality work.
- Opportunity to work on cutting-edge AI training data projects, contributing to advancements in machine learning and computer vision.
- Candidates who demonstrate reliability and precision will be valued for ongoing and future projects.

Interested and qualified candidates are encouraged to apply through the designated application form. Only applicants who meet the quality and experience criteria will be considered. This is an excellent opportunity for annotators looking to contribute to impactful AI data projects while working within a structured and quality-focused environment.