Dipesh K.

Key Skills

Software

Other

Data Annotation Tech

Clickworker

Labelbox

Label Studio

Toloka

CVAT

Top Subject Matter

Data Labeling Simulation Training

Top Data Types

Text

Video

Image

Top Task Types

Classification

Bounding Box

Segmentation

Entity (NER) Classification

Point/Key Point

Cuboid

Polyline

Object Detection

Text Generation

Question Answering

Fine-tuning

Transcription

Evaluation/Rating

Data Collection

Text Summarization

Function Calling

Freelancer Overview

Data Labeling Job Simulation Trainee. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, MIT OSW (2022) and Secondary School Certificate, NIOS (2020). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Data Labeling Job Simulation Participant

OtherTextClassification

Completed practical simulation tasks focused on batch labeling, personally identifiable information (PII) awareness, and iterative quality control work. Developed foundational knowledge in data labeling protocols and best practices within a structured, simulated environment. Emphasized quality review, iteration, and adherence to data privacy in all assigned tasks. • Participated in simulations of real-world batch data labeling projects. • Practiced identifying and handling PII in text data during labeling tasks. • Conducted quality control checks and iterative improvements. • Applied principles of efficient and accurate annotation in simulated team workflows.

2026 - 2026

Education

Work History