Suhail M P

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Other

Top Subject Matter

AI-Powered Educational Content Development

Natural Language Processing (NLP) in Malayalam

Multilingual Data Annotation and Translation

Top Data Types

Audio

Document

Text

Top Task Types

Action Recognition

Audio Recording

Classification

Data Collection

Evaluation Rating

Freelancer Overview

With a strong background in AI training, data labeling, and multilingual communication, I specialize in text, audio, and speech annotation for NLP and AI models. I have studied Arabic for over a decade at Darul Huda Islamic University, making me fluent in Arabic and English, with expertise in dialectal speech recognition and transcription. I have experience in transcription using CrowdGen (Appen) and am currently training in Label Studio. My work includes annotating, classifying, and structuring datasets for AI applications, ensuring high accuracy in machine learning models. Key Skills: Data labeling and NLP annotation Speech transcription and Arabic voice processing SQL queries for data extraction Experience with AI training tools like CrowdGen and Label Studio (in progress) I am committed to delivering precise, high-quality data for AI-driven projects and can quickly adapt to new labeling tools and workflows.

Labeling Experience

Speech Transcription & Annotation – Label Studio

Label StudioAudioEntity Ner ClassificationText Generation

Worked on transcribing and annotating Arabic and English audio data for AI model training. Tasks included: Speech-to-text transcription, handling background noise and multi-speaker conversations. Dialect identification and emotion labeling for NLP models. Timestamp alignment and quality assurance for accurate dataset creation. Arabic-English translation/localization to support multilingual AI training. Evaluation and rating of transcriptions to refine model performance. Ensured high-quality labeled data for training AI-driven speech recognition models.

Worked on transcribing and annotating Arabic and English audio data for AI model training. Tasks included: Speech-to-text transcription, handling background noise and multi-speaker conversations. Dialect identification and emotion labeling for NLP models. Timestamp alignment and quality assurance for accurate dataset creation. Arabic-English translation/localization to support multilingual AI training. Evaluation and rating of transcriptions to refine model performance. Ensured high-quality labeled data for training AI-driven speech recognition models.

2024

Education

Work History