Abu Talha

Key Skills

Software

CVAT

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Task Types

Action Recognition

Audio Recording

Classification

Emotion Recognition

Text Generation

Text Summarization

Translation Localization

Freelancer Overview

I am an experienced AI data annotation specialist with a strong background in accurately labeling and preparing diverse datasets including text, images, audio, and video to support the development of machine learning and AI models. My work involves using tools such as CVAT and Label Studio, and I am skilled in various annotation tasks like text classification, NLP tagging, image and video labeling, and prompt evaluation. I consistently follow project-specific guidelines and collaborate with QA teams to ensure high-quality, consistent training data that directly impacts AI system performance. My multilingual abilities in French, English, Hindi, and Urdu also enable me to work on a wide range of data labeling projects across different domains.

Labeling Experience

AI Data Annotation Specialist

CVATTextClassification

As an AI Data Annotation Specialist at Innodata, I was responsible for accurately labeling diverse data sets including text, images, audios, and videos. My work involved following project-specific guidelines and collaborating with QA teams to ensure high-quality and consistent data for machine learning model development. My contributions were crucial in impacting the performance and accuracy of AI systems. • Labeled multimodal data including text, images, audio, and video for machine learning applications. • Utilized tools like CVAT and Label Studio to annotate and classify datasets. • Performed NLP tagging, prompt evaluation, and text classification to support NLP models. • Regularly collaborated on content moderation and QA processes to assure data quality.

As an AI Data Annotation Specialist at Innodata, I was responsible for accurately labeling diverse data sets including text, images, audios, and videos. My work involved following project-specific guidelines and collaborating with QA teams to ensure high-quality and consistent data for machine learning model development. My contributions were crucial in impacting the performance and accuracy of AI systems. • Labeled multimodal data including text, images, audio, and video for machine learning applications. • Utilized tools like CVAT and Label Studio to annotate and classify datasets. • Performed NLP tagging, prompt evaluation, and text classification to support NLP models. • Regularly collaborated on content moderation and QA processes to assure data quality.

2025

Process Associate – Data Annotation

CVATTextClassification

As a Process Associate at Han Digital Solutions, I contributed to data annotation projects aimed at improving AI system performance. My primary tasks included labeling various types of data and ensuring annotation accuracy following explicit guidelines. This experience further enhanced my attention to detail and collaborative efficiency in annotation workflows. • Labeled and classified text, images, audio, and video data under project-specific guidelines. • Supported the QA team by performing data verification and validation tasks. • Focused on maintaining data consistency to directly impact AI model results. • Participated in regular review cycles for annotated datasets to optimize performance.

As a Process Associate at Han Digital Solutions, I contributed to data annotation projects aimed at improving AI system performance. My primary tasks included labeling various types of data and ensuring annotation accuracy following explicit guidelines. This experience further enhanced my attention to detail and collaborative efficiency in annotation workflows. • Labeled and classified text, images, audio, and video data under project-specific guidelines. • Supported the QA team by performing data verification and validation tasks. • Focused on maintaining data consistency to directly impact AI model results. • Participated in regular review cycles for annotated datasets to optimize performance.

2025 - 2025

Education

Work History