Mousumi Das

Key Skills

Software

Data Annotation Tech

Mercor

OneForma

Scale AI

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Entity Ner Classification

Evaluation Rating

Fine Tuning

Prompt Response Writing SFT

RLHF

Segmentation

Transcription

Translation Localization

Freelancer Overview

I am a detail-oriented AI Trainer and Data Annotator with over three years of experience working on large language models, data labeling, prompt writing, preference ranking, and RLHF (Reinforcement Learning from Human Feedback). My expertise includes data annotation, fine-tuning, fact-checking, and quality assurance to ensure high-quality, reliable training data for AI and machine learning systems. I have a strong background in managing end-to-end machine learning workflows, collaborating with cross-functional teams, and optimizing data quality for improved model performance and alignment. Additionally, I am skilled in creative and analytical writing, translation across multiple languages, and conducting thorough validations and quality checks. My ability to merge critical thinking, problem-solving, and effective communication allows me to deliver precise and culturally accurate data for a variety of AI use cases.

Labeling Experience

Audio Recording

LabelboxAudioText SummarizationPrompt Response Writing SFT

Skilled in producing clear, high-quality audio recordings with proper microphone handling, sound clarity, and noise control, ensuring accurate and professional-grade output for transcription, training, and content projects.

Skilled in producing clear, high-quality audio recordings with proper microphone handling, sound clarity, and noise control, ensuring accurate and professional-grade output for transcription, training, and content projects.

2025

Data Labeler

Scale AIVideoEntity Ner ClassificationSegmentation

I completed entity classification through name identification which required me to assign labels to locations and organizations and dates and essential concepts for training NLP models. The data segmentation process involved splitting text and audio content into meaningful sections which helped to enhance annotation quality and model performance results. I worked on RLHF workflows through my work of output ranking and feedback structure development and response evaluation which helped models learn human preference patterns. I translated and localized content into various languages while maintaining precise language accuracy and preserving cultural elements. The evaluation process involved content assessment which determined content value and its connection to safety requirements and established guidelines.

I completed entity classification through name identification which required me to assign labels to locations and organizations and dates and essential concepts for training NLP models. The data segmentation process involved splitting text and audio content into meaningful sections which helped to enhance annotation quality and model performance results. I worked on RLHF workflows through my work of output ranking and feedback structure development and response evaluation which helped models learn human preference patterns. I translated and localized content into various languages while maintaining precise language accuracy and preserving cultural elements. The evaluation process involved content assessment which determined content value and its connection to safety requirements and established guidelines.

2025

Education

Work History