Karthik Karthik

Key Skills

Software

AWS SageMaker

Appen

Axiom AI

Clickworker

CrowdFlower

Data Annotation Tech

Dataloop

Datumbox

Deep Systems

Encord

HiveMind

iMerit

Telus

Internal/Proprietary Tooling

SuperAnnotate

Top Subject Matter

No subject matter listed

Top Data Types

Document

Text

Video

Top Task Types

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Text Generation

Translation Localization

Freelancer Overview

As a highly skilled data labelling professional with a proven track record of delivering high-quality training data, I've developed a robust expertise in annotating complex data types, including text, images, and audio. With a strong foundation in data translation, testing, data collection, and labelling, I've successfully managed large-scale data annotation projects, ensuring accuracy, consistency, and efficiency. My proficiency in industry-leading data labelling tools and technologies enables me to streamline data annotation workflows, identify and resolve data quality issues, and ensure seamless integration of labelled data into AI model development pipelines. With a keen eye for detail and strong analytical skills, I'm adept at ensuring data accuracy, completeness, and relevance, driving business growth and innovation through reliable AI model development. My passion for AI and data labelling drives me to stay current with industry trends, best practices, and emerging technologies, ensuring that my skills remain relevant and effective in an ever-evolving landscape. I've worked with various data types, including but not limited to, natural language processing, computer vision, and speech recognition. My expertise extends to data quality control, data validation, and data normalization, allowing me to deliver high-quality data that meets the requirements of AI model development. I'm committed to continuous learning and professional development, ensuring that my skills stay

Labeling Experience

Data and image annotation

SuperannotateImageText GenerationText Summarization

I have worked on many data labeling projects, helping train AI models to be super accurate. With my labeling task performance, I've successfully completed various projects, including image annotation for object detection, segmentation, and classification, text annotation for sentiment analysis, entity recognition, and text classification, and audio annotation for speech recognition, music classification, and audio event detection. The project sizes I've worked on have ranged from small-scale annotations with around 100-1,000 data points to large-scale annotations with over 100,000 data points. I've managed teams and collaborated with cross-functional teams to ensure timely delivery and high-quality output. Quality is paramount in data labeling, and I adhere to strict quality control measures, including double-checking annotations for accuracy, implementing quality assurance processes to ensure consistency, and collaborating with domain experts to validate annotations.

I have worked on many data labeling projects, helping train AI models to be super accurate. With my labeling task performance, I've successfully completed various projects, including image annotation for object detection, segmentation, and classification, text annotation for sentiment analysis, entity recognition, and text classification, and audio annotation for speech recognition, music classification, and audio event detection. The project sizes I've worked on have ranged from small-scale annotations with around 100-1,000 data points to large-scale annotations with over 100,000 data points. I've managed teams and collaborated with cross-functional teams to ensure timely delivery and high-quality output. Quality is paramount in data labeling, and I adhere to strict quality control measures, including double-checking annotations for accuracy, implementing quality assurance processes to ensure consistency, and collaborating with domain experts to validate annotations.

2022

Education

Work History