Satendra Kushwaha

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Labelbox

Lionbridge

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Task Types

Audio Recording

Bounding Box

Classification

Data Collection

Evaluation/Rating

Fine-tuning

Polygon

Polyline

Prompt + Response Writing (SFT)

RLHF

Segmentation

Text Generation

Text Summarization

Transcription

Translation/Localization

Freelancer Overview

I am a detail-oriented and tech-savvy professional with hands-on experience in data annotation, data labeling, and AI training data evaluation for both English and Hindi projects. My background includes working on large-scale datasets for AI/ML model training, chatbot response evaluation, ad quality review, and voice data contribution. I am skilled in using tools like Label Studio, Annotation Lab, and various web-based annotation platforms, and I have consistently ensured high data quality through careful guideline interpretation and quality assurance checks. My experience spans projects involving NLP, ad content evaluation, and voice data, where I have contributed to improving model accuracy and reliability. I am passionate about supporting accurate AI development through precise annotation, validation, and feedback.

Labeling Experience

Data Annotation Specialist

AppenImageBounding BoxPolygon

A critical task in building AI models is annotating images that will be used to train the model. The goal is to annotate a wide variety of images that reflects the problem the AI model is intended to solve. Once the images are collected, they need to be annotated by humans (like you!). This labeling process helps the AI model understand and recognize key features in the images, allowing it to accurately identify the annotated information in future tasks. In the Aqua Vine Project, you will review images of vehicle with pre-annotated license plates. Then, you will need to create bounding boxes around those vehicles and annotate some of their characteristics.

A critical task in building AI models is annotating images that will be used to train the model. The goal is to annotate a wide variety of images that reflects the problem the AI model is intended to solve. Once the images are collected, they need to be annotated by humans (like you!). This labeling process helps the AI model understand and recognize key features in the images, allowing it to accurately identify the annotated information in future tasks. In the Aqua Vine Project, you will review images of vehicle with pre-annotated license plates. Then, you will need to create bounding boxes around those vehicles and annotate some of their characteristics.

2022 - 2023

Education

Work History