:

We are seeking a detail-oriented Image Annotator to join our Data Science team. In this role, you will play a crucial part in building high-quality datasets that power our Computer Vision and Machine Learning models. You will be responsible for labeling, tagging, and segmenting image and video data with high precision, ensuring our models receive clean, reliable ground-truth data.

Key Responsibilities

- Data Annotation & Labeling:

Annotate image and video datasets using bounding boxes, polygons, semantic segmentation, keypoint estimation, and image classification tags.

- Quality Assurance:

Perform self-checks and cross-reviews to ensure labeling strictly adheres to project guidelines and quality benchmarks.

- Guideline Alignment:





Collaborate with Data Scientists and Machine Learning Engineers to understand labeling requirements and adapt to updated annotation standards.

- Feedback Loop:

Identify edge cases, ambiguous data points, or labeling errors, and communicate them proactively to the engineering team.

Qualifications & Requirements

- Education:

Bachelor’s degree in any field

- Attention to Detail:

Exceptional visual acuity and spatial awareness with a solid focus on accuracy and consistency.

- Technical Skills:

Basic computer literacy; familiarity with image annotation tools (CVAT, LabelImg, Labelbox, or similar) is highly desirable.

- Basic understanding of Computer Vision concepts (e.g., object detection, classification, segmentation).

Location- Sector-16, Noida

📌 Image Annotator (Noida)
🏢 Ripik.ai
📍 Noida