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Favmitha Favmitha

Favmitha Favmitha

AI Data Annotator

India flagTiruppur, India
$10.00/hrIntermediateOtherClickworkerLabel Studio

Key Skills

Software

Other
ClickworkerClickworker
Label StudioLabel Studio
LionbridgeLionbridge
OneFormaOneForma
AppenAppen

Top Subject Matter

Artificial Intelligence

Top Data Types

TextText
VideoVideo
ImageImage

Top Task Types

SegmentationSegmentation
ClassificationClassification
Object DetectionObject Detection
Question AnsweringQuestion Answering
Evaluation/RatingEvaluation/Rating
Data CollectionData Collection
TranscriptionTranscription

Freelancer Overview

I have hands-on experience working as an independent contractor in AI training and data labeling across multiple platforms, including MargVoice, WeLocalize, BeSimpleAI, OneForma, Innodata, and Josh Talks. My expertise includes multimedia content annotation, AI voice training, and data labeling across various data types such as text, audio, image, and video. I have worked on tasks like transcription, subtitling, image annotation, and speech data collection, contributing to the development and improvement of AI models. What sets me apart is my adaptability and strong attention to detail in handling diverse datasets and project requirements. I have experience in multilingual tasks, particularly in Tamil and English, which supports speech recognition and NLP model training. My ability to quickly understand guidelines, maintain high accuracy, and consistently deliver quality outputs within deadlines makes me a reliable contributor in AI training data projects.

IntermediateEnglish

Labeling Experience

Multimedia Content Annotator

ImageClassification
I worked on a multimedia annotation project on the Multimango platform, which focused on training AI models using diverse real-world content. This project involved annotating images, videos, and online media, including Instagram photos and reels. My tasks included labeling visual elements, identifying context, and ensuring that annotations aligned with detailed client guidelines to support accurate AI model training. The project also included multiple sub-tasks such as content classification, object tagging, and contextual understanding across different media formats. Working on large volumes of dynamic social media content helped me develop strong attention to detail, consistency, and the ability to adapt quickly to evolving annotation requirements. This experience strengthened my expertise in multimedia data labeling and contributed to improving AI performance in content recognition and recommendation systems.

I worked on a multimedia annotation project on the Multimango platform, which focused on training AI models using diverse real-world content. This project involved annotating images, videos, and online media, including Instagram photos and reels. My tasks included labeling visual elements, identifying context, and ensuring that annotations aligned with detailed client guidelines to support accurate AI model training. The project also included multiple sub-tasks such as content classification, object tagging, and contextual understanding across different media formats. Working on large volumes of dynamic social media content helped me develop strong attention to detail, consistency, and the ability to adapt quickly to evolving annotation requirements. This experience strengthened my expertise in multimedia data labeling and contributed to improving AI performance in content recognition and recommendation systems.

2025 - 2026

Audio Data Annotator

AudioSegmentation
One of the key projects I worked on through OneForma involved large-scale audio annotation for a major client. In this project, I handled audio segmentation and transcription by strictly following detailed client guidelines. My work included breaking audio into precise segments, labeling speakers (such as identifying human vs. bot), and ensuring accurate transcription with proper formatting and timestamps. The project required maintaining high consistency and quality standards across large volumes of data. I also worked extensively with Indian English and multiple global English accents, focusing on speech recognition and natural language understanding. This included analyzing variations in pronunciation, intonation, and conversational flow. In addition to monologue recordings, I handled multi-speaker and conversational audio, which required careful attention to speaker differentiation and context. This experience strengthened my ability to work on voice recognition systems, improve model accuracy, and deliver high-quality annotated datasets for AI training.

One of the key projects I worked on through OneForma involved large-scale audio annotation for a major client. In this project, I handled audio segmentation and transcription by strictly following detailed client guidelines. My work included breaking audio into precise segments, labeling speakers (such as identifying human vs. bot), and ensuring accurate transcription with proper formatting and timestamps. The project required maintaining high consistency and quality standards across large volumes of data. I also worked extensively with Indian English and multiple global English accents, focusing on speech recognition and natural language understanding. This included analyzing variations in pronunciation, intonation, and conversational flow. In addition to monologue recordings, I handled multi-speaker and conversational audio, which required careful attention to speaker differentiation and context. This experience strengthened my ability to work on voice recognition systems, improve model accuracy, and deliver high-quality annotated datasets for AI training.

2025 - 2026

Education

B

Bharathiar University

Master's, Mathematics

Master's
2018 - 2021
P

Park's College

Bachelors, Mathematics with computer application

Bachelors
2015 - 2018

Work History

O

Oneforma

Data annotator

redmond
2025 - Present