Ayan Dutta

Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Argilla

Axiom AI

Clickworker

CloudFactory

CrowdFlower

CVAT

Data Annotation Tech

Dataloop

Datatroniq

Datumbox

Doccano

Google Cloud Vertex AI

HiveMind

LightTag

Toloka

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Task Types

Audio Recording

Bounding Box

Evaluation Rating

Red Teaming

Translation Localization

Freelancer Overview

As a dedicated Data Annotation Specialist, I bring extensive experience in enhancing AI systems through meticulous data labeling and evaluation. I specialize in annotating diverse datasets including text, images, audio, and video to ensure accuracy, relevance, and safety. With a proven track record of supporting the development of Large Language Models (LLMs), I provide high-quality, context-rich annotations that enable AI models to effectively understand and process complex language tasks. I thrive in collaborative environments, actively participating in peer reviews, offering constructive feedback, and developing innovative strategies to boost AI performance. My commitment to excellence in data annotation has been instrumental in advancing AI capabilities.

Labeling Experience

Data Annotator - Remote Appen Global

AppenVideoEvaluation Rating

Content Evaluation: Reviewed and assessed social media posts, images, and videos to determine their relevance, accuracy, and adherence to platform guidelines. Misinformation Detection: Identified and reported misleading or false information by cross-referencing content with reputable sources, contributing to the integrity of information on social media platforms. Sentiment Analysis: Analyzed textual content to gauge public sentiment, aiding in the development of more responsive and adaptive AI models. Ad Quality Assessment: Evaluated the quality and relevance of advertisements, ensuring they met user expectations and platform standards. Data Annotation: Labeled and categorized content to support machine learning algorithms in understanding and processing diverse data types. Achievements: Contributed to enhancing the quality of content on major social media platforms; played a pivotal role in training LLM AI models to better understand and process human language

Content Evaluation: Reviewed and assessed social media posts, images, and videos to determine their relevance, accuracy, and adherence to platform guidelines. Misinformation Detection: Identified and reported misleading or false information by cross-referencing content with reputable sources, contributing to the integrity of information on social media platforms. Sentiment Analysis: Analyzed textual content to gauge public sentiment, aiding in the development of more responsive and adaptive AI models. Ad Quality Assessment: Evaluated the quality and relevance of advertisements, ensuring they met user expectations and platform standards. Data Annotation: Labeled and categorized content to support machine learning algorithms in understanding and processing diverse data types. Achievements: Contributed to enhancing the quality of content on major social media platforms; played a pivotal role in training LLM AI models to better understand and process human language

2024 - 2025

Data Annotation Specialist - Remote Microsoft

CVATImageEvaluation Rating

Search Relevance Evaluation: Assessed and rated the relevance of search engine results to specific user queries, enhancing the accuracy and efficiency of Microsoft's search algorithms. Image and Video Annotation: Performed detailed labelling and categorisation of images and videos, including object detection, semantic segmentation, and support for computer vision model training. Text and Sentiment Analysis: Annotated textual data for sentiment, intent, and relevance, contributing to the improvement of natural language processing models. Speech Transcription: Transcribed and validated audio data, ensuring high-quality inputs for speech recognition systems. Quality Assurance: Conducted regular audits and quality checks on annotated data to maintain high standards of accuracy, consistency, and reliability.

Search Relevance Evaluation: Assessed and rated the relevance of search engine results to specific user queries, enhancing the accuracy and efficiency of Microsoft's search algorithms. Image and Video Annotation: Performed detailed labelling and categorisation of images and videos, including object detection, semantic segmentation, and support for computer vision model training. Text and Sentiment Analysis: Annotated textual data for sentiment, intent, and relevance, contributing to the improvement of natural language processing models. Speech Transcription: Transcribed and validated audio data, ensuring high-quality inputs for speech recognition systems. Quality Assurance: Conducted regular audits and quality checks on annotated data to maintain high standards of accuracy, consistency, and reliability.

2023 - 2024

Education

Work History