Shoba Rani

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Image

Top Label Types

Bounding Box

Object Detection

Point Key Point

Polygon

Prompt Response Writing SFT

Segmentation

Freelancer Overview

I bring 16 months of specialized experience as a Consultants Operations Associate at Uber, where I focused on high-complexity AI training projects. My expertise spans LiDAR annotation, semantic segmentation, and instance labeling, as well as managing User-Generated Content (UGC) photo workflows. Working within Uber’s sophisticated data ecosystem, I developed a deep understanding of spatial data and the precise labeling requirements necessary for training autonomous systems and mapping technologies. Combining this hands-on industry experience with my B.Tech in Electrical and Electronics Engineering, I offer a rare blend of technical literacy and operational discipline. My background in PLC programming and Mechatronics allows me to approach data labeling with a systematic, logic-based mindset, ensuring 100% accuracy in complex 3D environments. I am a detail-oriented professional committed to delivering high-quality ground-truth data that drives the next generation of AI innovation.

Labeling Experience

Consultants Operations Associate for UGC Photo Upload, Lidar Annotation, and Image Labelling

Scale AIImageSegmentation

As a Consultants Operations Associate at Uber, I contributed to UGC photo upload, LiDAR annotation, and image labeling for multiple projects. My primary tasks included instance and semantic segmentation on various visual datasets. I worked consistently across 16 months, ensuring quality and accuracy of labeled data. • Conducted instance and semantic segmentation for Uber projects • Uploaded and annotated user-generated content (UGC) photos • Labeled images using best practices and internal guidelines • Collaborated with team members to meet project goals

As a Consultants Operations Associate at Uber, I contributed to UGC photo upload, LiDAR annotation, and image labeling for multiple projects. My primary tasks included instance and semantic segmentation on various visual datasets. I worked consistently across 16 months, ensuring quality and accuracy of labeled data. • Conducted instance and semantic segmentation for Uber projects • Uploaded and annotated user-generated content (UGC) photos • Labeled images using best practices and internal guidelines • Collaborated with team members to meet project goals

2024 - 2025

Education

Work History