Navin M

Key Skills

Software

Scale AI

Top Subject Matter

Multimodal AI Model Training

Customer Experience specialist (Qualtrics)

Data Analyst

Top Data Types

Text

Image

Audio

Video

Top Task Types

No task types listed

Freelancer Overview

I have hands-on experience working as an AI Generalist on data labeling and annotation tasks, where I contributed to improving machine learning model performance through accurate and consistent data handling. My work has involved tasks such as text annotation, data categorization, and following detailed project-specific guidelines to ensure high-quality training datasets. I have developed a strong understanding of annotation standards, attention to detail, and the importance of maintaining consistency across large volumes of data. In addition to my annotation work, I bring a solid foundation in data handling from my experience with MS Excel and reporting workflows. I am highly detail-oriented, quick to adapt to new tools and guidelines, and committed to delivering precise, reliable outputs within deadlines. My ability to learn fast and maintain quality makes me well-suited for data labeling and AI training projects.

Labeling Experience

AI Generalist / Data Annotator

Scale AIText

In this ongoing position, I perform high-volume multimodal data annotation across text, image, audio, and video datasets for AI model training. My work involves evaluating, labeling, and ranking AI-generated outputs for accuracy, relevance, and consistency. I ensure data integrity, structured feedback, and model performance improvement through strict adherence to annotation guidelines. • Conduct prompt-based editing, object removal, and validation tasks in images. • Evaluate and rate AI-generated responses across modalities, providing structured reasoning and justification. • Assess audio and voice responses for accuracy and clarity, aligning to user intent. • Maintain consistency and accuracy in annotation tasks at scale.

In this ongoing position, I perform high-volume multimodal data annotation across text, image, audio, and video datasets for AI model training. My work involves evaluating, labeling, and ranking AI-generated outputs for accuracy, relevance, and consistency. I ensure data integrity, structured feedback, and model performance improvement through strict adherence to annotation guidelines. • Conduct prompt-based editing, object removal, and validation tasks in images. • Evaluate and rate AI-generated responses across modalities, providing structured reasoning and justification. • Assess audio and voice responses for accuracy and clarity, aligning to user intent. • Maintain consistency and accuracy in annotation tasks at scale.

2026 - Present

Education

Work History