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Swasthik Poojari

Swasthik Poojari

Data Annotation Associate - Data Management

INDIA flag
Bengalore, India
$5.00/hrEntry LevelData Annotation Tech

Key Skills

Software

Data Annotation TechData Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio

Top Label Types

Segmentation
Text Generation

Freelancer Overview

I am a detail-oriented data annotation professional with hands-on experience in labeling and annotating large text-based datasets for AI and machine learning projects. My background includes consistently meeting productivity targets while ensuring high accuracy and adherence to strict project guidelines. I am skilled in transcription, text annotation, and quality assurance, and I excel at following complex instructions and resolving annotation errors efficiently. My strong attention to detail and time management abilities allow me to deliver high-quality, reliable training data that supports the development of robust AI systems.

Entry LevelEnglish

Labeling Experience

Data Annotation Tech

vendor

Data Annotation TechAudioSegmentationText Generation
Worked on a large-scale audio data labeling and transcription project to support speech recognition and conversational AI model training. My responsibilities included: Accurate verbatim transcription of audio files following strict client guidelines Emotion and intent tagging for conversational audio Identifying and labeling named entities where required Handling diverse accents, background noise, and low-quality recordings Ensuring high accuracy and consistency across datasets The project involved hundreds of audio samples, with a strong focus on quality assurance, including self-review, peer review, and feedback-based corrections. Maintained confidentiality and met all turnaround time requirement

Worked on a large-scale audio data labeling and transcription project to support speech recognition and conversational AI model training. My responsibilities included: Accurate verbatim transcription of audio files following strict client guidelines Emotion and intent tagging for conversational audio Identifying and labeling named entities where required Handling diverse accents, background noise, and low-quality recordings Ensuring high accuracy and consistency across datasets The project involved hundreds of audio samples, with a strong focus on quality assurance, including self-review, peer review, and feedback-based corrections. Maintained confidentiality and met all turnaround time requirement

2025

Education

M

Moodlakatte Institute of Technology, Kundapura (MITK)

b.e, bachelor of engineering(aiml)

b.e
2021 - 2025

Work History

S

shaipwork

vendor

mangalore
2025 - Present