Chitravansh Mohan

Key Skills

Software

iMerit

Scale AI

Top Subject Matter

General AI/ML

Web Development

Software Development

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

Data Annotator. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include iMerit and Scale AI. Education includes Bachelor of Technology, Dr. A.P.J. Abdul Kalam Technical University (2026) and Higher Secondary Certificate, Little Flower House (2021). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Generalist Data Annotator (Aether Project)

Scale AITextClassification

As a generalist data annotator for the Aether Project, I contributed to the generation of high-quality training data for advanced AI models. The role demanded strong attention to annotation accuracy and strict compliance with evolving standards. Work focused on multi-domain annotation to bolster AI system performance. • Carried out classification and categorization of diverse textual data. • Ensured consistency and quality control across various annotation assignments. • Adapted to domain-specific annotation protocols as needed. • Supported project goals by meeting annotation targets efficiently.

As a generalist data annotator for the Aether Project, I contributed to the generation of high-quality training data for advanced AI models. The role demanded strong attention to annotation accuracy and strict compliance with evolving standards. Work focused on multi-domain annotation to bolster AI system performance. • Carried out classification and categorization of diverse textual data. • Ensured consistency and quality control across various annotation assignments. • Adapted to domain-specific annotation protocols as needed. • Supported project goals by meeting annotation targets efficiently.

2026 - Present

Data Annotator

ImeritTextClassification

In this role, I annotated large-scale datasets of text and images to support AI/ML model training. I applied rigorous quality guidelines to ensure annotations met high standards, and worked with QA to improve data consistency. Daily tasks involved close collaboration within a production ML pipeline environment. • Labeled and classified both text and image data for machine learning tasks. • Applied internal compliance procedures to maintain data integrity. • Communicated with QA teams to address inconsistencies. • Gained practical knowledge of real-world ML operations.

In this role, I annotated large-scale datasets of text and images to support AI/ML model training. I applied rigorous quality guidelines to ensure annotations met high standards, and worked with QA to improve data consistency. Daily tasks involved close collaboration within a production ML pipeline environment. • Labeled and classified both text and image data for machine learning tasks. • Applied internal compliance procedures to maintain data integrity. • Communicated with QA teams to address inconsistencies. • Gained practical knowledge of real-world ML operations.

2026 - 2026

Education

Work History