Data Annotation

Optifye.ai; Gurugram District; On-site; INR 223,000 - 357,000; Full time

Job summary

Optifye.ai is seeking a Vision Analyst / Data Annotator to annotate images, videos, and visual datasets according to project guidelines. You will perform tasks such as bounding boxes, polygons, segmentation, classification, key-point annotation, and object tracking, ensuring accuracy and consistency across datasets.

The role requires reviewing annotations, applying quality checks, and escalating ambiguous cases as needed to maintain high-quality outputs within deadlines.

Qualifications

• Annotate images, videos, and visual datasets per guidelines.
• Perform bounding boxes, polygons, segmentation, classification and tracking.
• Review annotations for errors and inconsistencies.
• Maintain high accuracy and consistency across datasets.
• Follow project-specific guidelines and update as requirements evolve.
• Perform QC on self- and peer-annotated data.
• Escalate ambiguous cases for clarification.
• Meet productivity and accuracy targets.

Responsibilities

• Annotate and label images, videos, and visual datasets.
• Apply project-specific annotation guidelines.
• Perform quality checks on annotations.
• Escalate ambiguous cases to the team.
• Maintain productivity within timelines.

Skills

Image annotation

Data labeling

Attention to detail

Quality assurance

Pattern recognition

Education

Any graduate

Tools

Annotation tools

Job description

Job Title: Vision Analyst / Data Annotator

About the Role

Key Responsibilities

• Annotate and label images, videos and visual datasets as per defined guidelines.
• Perform tasks such as bounding boxes, polygons, segmentation, classification, key-point annotation and object tracking, depending on project requirements.
• Review and validate annotated data to identify errors, inconsistencies and missing information.
• Maintain a high level of accuracy and consistency across datasets.
• Follow project-specific annotation guidelines and update understanding as requirements evolve.
• Perform quality checks (QC) on self-annotated and peer-annotated datasets.
• Identify ambiguous or difficult cases and escalated them to the appropriate team for clarification.
• Maintain productivity and accuracy targets within defined timelines.
• Help improve annotation guidelines and workflows based on recurring errors and observations.

Educational Qualification: Any gradute