rupa kakani

Key Skills

Software

CVAT

Labelbox

Scale AI

Other

LabelImg

Top Subject Matter

Content Moderation/AI Model Training

Computer Vision/Object Detection

LLM/AI Evaluation

Top Data Types

Image

Video

Text

Document

Top Task Types

Classification

Bounding Box

Polygon

Segmentation

RLHF

Text Summarization

Transcription

Evaluation Rating

Object Detection

Freelancer Overview

AI Content Moderation Dataset Annotator. Core strengths include Labelbox, LabelImg, and N. Education includes Bachelor of Technology, Gvr&S College of Engineering and Technology (2022). AI-training focus includes data types such as Image and Text and labeling workflows including Classification, Bounding Box, and Evaluation.

Labeling Experience

Content Safety Expert | Data Annotator

ImageClassification

As a Data Annotator and Content Safety Expert at GlobalLogic Pvt Ltd, I reviewed and annotated user-generated content to ensure adherence to community standards. I labeled and categorized text, image, and video data to support AI moderation model training. Content was systematically flagged for policy violations and categorized for graphic, harmful, and safe materials. • Maintained an accuracy rate above 98% on labeled data. • Collaborated with QA and policy teams for guideline refinement. • Managed high-volume queues and sensitive content with resilience. • Utilized internal tools to perform annotation and moderation tasks.

As a Data Annotator and Content Safety Expert at GlobalLogic Pvt Ltd, I reviewed and annotated user-generated content to ensure adherence to community standards. I labeled and categorized text, image, and video data to support AI moderation model training. Content was systematically flagged for policy violations and categorized for graphic, harmful, and safe materials. • Maintained an accuracy rate above 98% on labeled data. • Collaborated with QA and policy teams for guideline refinement. • Managed high-volume queues and sensitive content with resilience. • Utilized internal tools to perform annotation and moderation tasks.

2023 - Present

Data Annotator - Super Intelligence Lab Project

OtherImageClassification

During the Super Intelligence Lab Project with Innodata as a Freelancer, I annotated text, image, audio, and video data for advanced AI model training. I followed comprehensive annotation guidelines to ensure data consistency and error reduction. My work supported the classification, tagging, and ranking of data to enhance super intelligence systems. • Collaborated closely with QA teams to improve annotation processes. • Identified and corrected errors, biases, and ambiguities in outputs. • Reviewed and corrected annotated data to meet quality benchmarks. • Managed diverse data modalities within strict deadlines.

During the Super Intelligence Lab Project with Innodata as a Freelancer, I annotated text, image, audio, and video data for advanced AI model training. I followed comprehensive annotation guidelines to ensure data consistency and error reduction. My work supported the classification, tagging, and ranking of data to enhance super intelligence systems. • Collaborated closely with QA teams to improve annotation processes. • Identified and corrected errors, biases, and ambiguities in outputs. • Reviewed and corrected annotated data to meet quality benchmarks. • Managed diverse data modalities within strict deadlines.

2025 - 2025

AI-Based Content Classification Project

OtherTextClassification

In the AI-Based Content Classification Project, I built and annotated a dataset of social media posts for machine learning model training. The task involved sorting content into predefined categories such as Safe, Offensive, Spam, and Sensitive. I created a high-quality labeled dataset tailored for content moderation model development. • Developed clear classification guidelines for annotators. • Ensured inter-annotator agreement on complex cases. • Validated data samples for model training accuracy. • Used Python and open-source tools for dataset creation and annotation.

In the AI-Based Content Classification Project, I built and annotated a dataset of social media posts for machine learning model training. The task involved sorting content into predefined categories such as Safe, Offensive, Spam, and Sensitive. I created a high-quality labeled dataset tailored for content moderation model development. • Developed clear classification guidelines for annotators. • Ensured inter-annotator agreement on complex cases. • Validated data samples for model training accuracy. • Used Python and open-source tools for dataset creation and annotation.

2022 - 2022

Image Moderation Dataset Annotation Project

LabelimgImageClassificationBounding Box

In the Image Dataset Annotation for Computer Vision project, I labeled images using bounding boxes and classification tags to support object detection models. Consistent annotation practices were employed to raise the quality of computer vision datasets. The project’s objective was to improve the precision and utility of AI-driven visual systems. • Created bounding boxes for various object classes in diverse image datasets. • Applied precise object classification for enhanced model learning. • Ensured data consistency and reduced annotation errors. • Bolstered the effectiveness of AI-powered object detection solutions.

In the Image Dataset Annotation for Computer Vision project, I labeled images using bounding boxes and classification tags to support object detection models. Consistent annotation practices were employed to raise the quality of computer vision datasets. The project’s objective was to improve the precision and utility of AI-driven visual systems. • Created bounding boxes for various object classes in diverse image datasets. • Applied precise object classification for enhanced model learning. • Ensured data consistency and reduced annotation errors. • Bolstered the effectiveness of AI-powered object detection solutions.

2021 - 2021

Education

Work History