Aakash S.

Key Skills

Software

Don't disclose

Top Subject Matter

Image annotation and classification for AI/data labeling projects

AI response evaluation

content rating

Top Data Types

Image

Text

Top Task Types

Classification

Freelancer Overview

AI training and data annotation (image labeling and classification). Core strengths include Don't disclose. Education includes Bachelor of Arts, Barkatullah University and Master of Business Administration, N/A. AI-training focus includes data types such as Image and Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Data labeling and categorization for AI/data projects

Don't discloseTextClassification

Conducted data categorization and text-based labeling tasks for data preparation and annotation efforts. Followed structured instructions to ensure accurate assignment of categories and labels. Focused on correctness, attention to detail, and reliable output quality. • Categorized and labeled data • Followed task instructions and requirements • Ensured label accuracy and consistency • Maintained quality-focused documentation

Present

AI response evaluation and content rating for AI training

Don't discloseText

Evaluated AI-generated responses to support content evaluation and quality assurance workflows. Applied content review and rating approaches based on the project requirements and expected outcomes. Ensured responses met guideline standards and maintained reliable evaluation quality. • Evaluated AI responses against guidelines • Performed content review and rating • Verified quality and accuracy • Maintained consistent evaluation standards

Present

AI training and data annotation (image labeling and classification)

Don't discloseImageClassification

Performed image annotation and classification tasks according to provided project guidelines. Reviewed labeled outputs for quality and consistency to identify patterns, differences, and potential errors. Ensured accurate categorization and maintained high-quality output throughout the workflow. • Annotated and categorized images • Followed labeling guidelines precisely • Conducted quality control checks • Reported or corrected labeling inconsistencies

Present

Education