For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
Darshan Jape

Darshan Jape

Data Labeling Associate (Freelance/Internship)

India flagAhmednagar, India
$18.00/hrEntry LevelLabelimgCVAT

Key Skills

Software

LabelImgLabelImg
CVATCVAT

Top Subject Matter

Object Detection
Text Classification
Audio Event Detection

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

Bounding Box
Classification

Freelancer Overview

Data Labeling Associate (Freelance/Internship). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include LabelImg, Google Sheets, and CVAT. Education includes Bachelor of Business Administration, Sanjivani University (2016). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box and Classification.

Entry LevelEnglishHindiMarathi

Labeling Experience

CVAT

Audio Data Labeling (Freelance/Internship)

CVATAudioClassification
I labeled and annotated audio data as part of AI/ML training projects, focusing on validation and consistency. Annotated audio involved categorizing clips and applying tags for voice or event detection tasks. Collated and managed high-volume audio datasets using annotation tools for model training purposes. • Annotated and labeled audio files for ML tasks • Used platforms such as CVAT and spreadsheets for organization • Ensured labels matched predefined quality and task requirements • Enabled robust training data for voice/event recognition models

I labeled and annotated audio data as part of AI/ML training projects, focusing on validation and consistency. Annotated audio involved categorizing clips and applying tags for voice or event detection tasks. Collated and managed high-volume audio datasets using annotation tools for model training purposes. • Annotated and labeled audio files for ML tasks • Used platforms such as CVAT and spreadsheets for organization • Ensured labels matched predefined quality and task requirements • Enabled robust training data for voice/event recognition models

2023 - Present

Text Classification Project (Freelance/Internship)

TextClassification
I performed text data classification by categorizing large datasets into predefined classes as part of machine learning pipeline preparation. I helped improve labeling consistency by implementing validation procedures. High attention to detail and accuracy was maintained throughout the process. • Classified textual data into specific categories • Used annotation platforms and spreadsheets for data labeling • Performed manual validation to ensure data quality • Supported downstream ML model training with structured labels

I performed text data classification by categorizing large datasets into predefined classes as part of machine learning pipeline preparation. I helped improve labeling consistency by implementing validation procedures. High attention to detail and accuracy was maintained throughout the process. • Classified textual data into specific categories • Used annotation platforms and spreadsheets for data labeling • Performed manual validation to ensure data quality • Supported downstream ML model training with structured labels

2023 - Present
LabelImg

Data Labeling Associate (Freelance/Internship)

LabelimgImageBounding Box
As a Data Labeling Associate, I annotated and labeled thousands of images for object detection and classification machine learning projects. I used bounding box, polygon, and classification techniques to ensure high-quality annotations. I validated and reviewed labeled data to maintain consistency and accuracy across large-scale datasets. • Annotated images for vehicles and pedestrian detection • Used tools such as LabelImg and CVAT to perform bounding box and polygon labeling • Performed quality assurance through validation checks • Delivered over 5,000 labeled images for AI/ML projects

As a Data Labeling Associate, I annotated and labeled thousands of images for object detection and classification machine learning projects. I used bounding box, polygon, and classification techniques to ensure high-quality annotations. I validated and reviewed labeled data to maintain consistency and accuracy across large-scale datasets. • Annotated images for vehicles and pedestrian detection • Used tools such as LabelImg and CVAT to perform bounding box and polygon labeling • Performed quality assurance through validation checks • Delivered over 5,000 labeled images for AI/ML projects

2023 - Present

Education

S

Sanjivani University

Bachelor of Business Administration, Business Administration

Bachelor of Business Administration
2013 - 2016

Work History

S

Sanjivani Educational Society

Data Entry Specialist

Ahmednagar
2018 - 2022