Tamil Vanan

Dedicated and detail-oriented AI Data Annotation Specialist with 2 years of experience in preparing high-quality datasets for AI and machine learning projects. Skilled in annotating and categorizing image, text, video, and audio data with strong accuracy and consistency. Experienced in using annotation tools, following project guidelines, and performing quality checks to ensure reliable training data.

Strong team player with excellent time management, adaptability, and a passion for contributing to the development of intelligent AI systems.

Data Annotation Specialist - DATACLAP DIGITAL VENTURES

(2024-01)

• Executed large-scale annotation of image, text, and video datasets to support the development of AI and machine learning models.
• Worked in Human-in-the-Loop (HITL) environments, contributing to real-time data validation and AI model improvement cycles.
• Utilized advanced annotation platforms such as Roboflow, CVAT, V7, Label Studio, and Ocular for precise dataset preparation.
• Maintained strict quality control by performing detailed reviews, corrections, and consistency checks across annotated data.
• Delivered 98%+ annotation accuracy across multiple projects, contributing to improved AI model performance and reliability.
• Led a team of annotators by assigning tasks, reviewing outputs, and ensuring adherence to quality and timeline standards.
• Trained and onboarded new team members on annotation tools, labeling guidelines, and workflow processes to improve overall team efficiency.
• Supported Medical AI chatbot backend review processes (Iris AI Bot), ensuring accuracy in critical domain-specific data labeling.
• Collaborated with machine learning engineers and QA teams to resolve data issues and enhance dataset reliability.

B.A. - ENGLISH LITERATURE - Government Arts and Science College, Palladam (2020-01 - 2023-12)