Yathugulan Uthayakumar

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Labelbox

OneForma

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Text

Video

Top Label Types

Action Recognition

Bounding Box

Classification

Data Collection

Emotion Recognition

Mapping

Object Detection

Prompt Response Writing SFT

Text Generation

Transcription

Translation Localization

Freelancer Overview

With over 7 years of experience in web development and digital marketing, I have gained extensive expertise in handling and managing large datasets, particularly within e-commerce and medical domains. My background includes developing and maintaining WordPress and custom web applications, where I consistently worked with structured data, implemented SEO strategies, and optimized content for both users and search engines. I am proficient in using tools like Google Analytics, Search Console, and various CMS platforms, which has enhanced my attention to detail and accuracy—skills essential for high-quality data labeling and annotation. My experience collaborating with diverse teams and clients has also given me a strong understanding of project requirements and data integrity, making me well-suited for roles focused on AI training data and annotation projects.

Labeling Experience

AI Training & Data Annotation Specialist (Text)

Label StudioTextClassification

I contributed to AI model training by annotating datasets with labels such as intent, relevance, sentiment, and keywords. My responsibilities included following annotation guidelines, reviewing sample quality, and correcting errors for improved dataset consistency. I used tools like Labelbox and CVAT as part of remote and task-based annotation assignments. • Labeled text data for intent, sentiment, and relevancy as required for AI training. • Adhered strictly to annotation instructions and quality standards across different projects. • Leveraged web-based annotation platforms including Labelbox and basic CVAT experience. • Reviewed and validated both my own and others' work for consistency and error reduction.

I contributed to AI model training by annotating datasets with labels such as intent, relevance, sentiment, and keywords. My responsibilities included following annotation guidelines, reviewing sample quality, and correcting errors for improved dataset consistency. I used tools like Labelbox and CVAT as part of remote and task-based annotation assignments. • Labeled text data for intent, sentiment, and relevancy as required for AI training. • Adhered strictly to annotation instructions and quality standards across different projects. • Leveraged web-based annotation platforms including Labelbox and basic CVAT experience. • Reviewed and validated both my own and others' work for consistency and error reduction.

2022

AI Training & Data Annotation Specialist (Image)

LabelboxImageBounding Box

I performed image annotation tasks for AI training, which included object classification, basic scene labeling, and bounding box application. My work emphasized accuracy, following edge-case rules, and maintaining high-quality standard in delivering annotated images. I utilized labeling software such as Labelbox and acquired basic experience with CVAT to complete task-based assignments remotely. • Classified objects and labeled scenes using bounding boxes and other relevant tags. • Consistently followed task instructions and annotation guidelines to ensure data quality. • Applied corrections and participated in quality review of annotated image data. • Managed time-based annotation projects to deliver results within deadlines.

I performed image annotation tasks for AI training, which included object classification, basic scene labeling, and bounding box application. My work emphasized accuracy, following edge-case rules, and maintaining high-quality standard in delivering annotated images. I utilized labeling software such as Labelbox and acquired basic experience with CVAT to complete task-based assignments remotely. • Classified objects and labeled scenes using bounding boxes and other relevant tags. • Consistently followed task instructions and annotation guidelines to ensure data quality. • Applied corrections and participated in quality review of annotated image data. • Managed time-based annotation projects to deliver results within deadlines.

2022

Education

Work History