AI Data Labeler for Imaging & DL Models

Zizy Inc.; New York (NY); Hybrid; USD 36,000 - 48,000; Full time

Benefits offered by this job

Mental health support

Generous time off

Paid parental leave

Learning & development stipend

Job summary

Zizy Inc. is seeking a Data Annotation Associate in New York to support AI research and deployment efforts. You will annotate images by drawing bounding boxes, categorize content, and help curate data for model training.

The role requires attention to detail, strong communication, and a passion for learning in AI and machine learning. Join a team focused on scalable data quality, collaboration with researchers, and ongoing improvements to annotation tools and processes.

Qualifications

• Basic computer literacy and IT experience required.
• Ability to handle large data sets on a regular basis.
• Able to perform repetitive tasks with minimal errors.
• Excellent communication, analytical and reasoning skills.
• Motivation to learn and grow in AI/ML.
• Strong interest in Artificial Intelligence and deep learning.

Responsibilities

• Annotate images by drawing boxes to highlight areas of interest.
• Collaborate with researchers to understand input data and labeling needs.
• Report issues from data annotation to the Research team and suggest fixes.
• Provide feedback to improve data annotation tools and workflows.
• Contribute to workflow process improvements within the team.

Skills

Basic computer literacy

IT experience

Large data sets handling

Attention to detail

Strong communication

Learning mindset

Job description

Zizy Inc. is seeking a Data Annotation Associate in New York to support AI research and deployment efforts. You will annotate images by drawing bounding boxes, categorize content, and help curate data for model training.

The role requires attention to detail, strong communication, and a passion for learning in AI and machine learning. Join a team focused on scalable data quality, collaboration with researchers, and ongoing improvements to annotation tools and processes.