Kazi Mahmud

Key Skills

Software

Remotasks

Other

Clickworker

Appen

Google Cloud Vertex AI

Figure Eight

Data Annotation Tech

CrowdFlower

AWS SageMaker

Top Subject Matter

Image Recognition for Machine Learning

Sentiment Analysis and Text Classification

Social Media Content Moderation and Categorization

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Entity (NER) Classification

Classification

Question Answering

Evaluation/Rating

Data Collection

Text Summarization

Segmentation

Point/Key Point

Object Detection

Text Generation

Transcription

Freelancer Overview

Image and Object Recognition Data Annotation Specialist. Core strengths include Remotasks, Other, and Clickworker. Education includes Secondary School Certificate, Hafizul Islam Chowdury High School (2018) and Bachelor of Arts, Mohipal Govt College (2024). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Entity (NER) Classification, and Classification.

Labeling Experience

Content Moderation & Categorization Specialist

ClickworkerImageClassification

I categorized and tagged both textual and image-based social media content for compliance and safety. My tasks included identifying and flagging inappropriate content such as spam or harmful material, supporting AI-driven content moderation systems. I moderated diverse user-generated data to align with brand and legal guidelines. • Utilized Clickworker platform for content labeling and moderation. • Tagged harmful or sensitive images for AI review algorithms. • Followed strict rules for subjective or nuanced content categories. • Helped refine content detection models through accurate tagging.

I categorized and tagged both textual and image-based social media content for compliance and safety. My tasks included identifying and flagging inappropriate content such as spam or harmful material, supporting AI-driven content moderation systems. I moderated diverse user-generated data to align with brand and legal guidelines. • Utilized Clickworker platform for content labeling and moderation. • Tagged harmful or sensitive images for AI review algorithms. • Followed strict rules for subjective or nuanced content categories. • Helped refine content detection models through accurate tagging.

2023 - 2023

Image and Object Recognition Data Annotation Specialist

RemotasksImageBounding Box

I labeled images of everyday objects such as cars, traffic signs, and people for AI-powered image recognition systems. My role involved using bounding boxes and segmentation tools to ensure precise annotation for machine learning models. I maintained high standards for data quality and consistency throughout the project. • Marked and segmented thousands of images for enhanced model accuracy. • Used Remotasks platform tools for object annotation. • Focused on quality assurance by double-checking all labels. • Supported model training by delivering validated labeled datasets.

I labeled images of everyday objects such as cars, traffic signs, and people for AI-powered image recognition systems. My role involved using bounding boxes and segmentation tools to ensure precise annotation for machine learning models. I maintained high standards for data quality and consistency throughout the project. • Marked and segmented thousands of images for enhanced model accuracy. • Used Remotasks platform tools for object annotation. • Focused on quality assurance by double-checking all labels. • Supported model training by delivering validated labeled datasets.

2023 - 2023

Text Annotation for NLP and Sentiment Analysis

OtherTextEntity Ner Classification

I labeled and classified text data for sentiment analysis and NLP applications. My responsibilities included annotating named entities such as products, locations, and brands for chatbot development and customer support. I contributed to building high-quality training datasets for machine learning. • Labeled customer reviews by sentiment (positive, neutral, negative). • Marked named entities to support NLP use cases. • Worked on Upwork platform to deliver annotated datasets. • Ensured thoroughness and accuracy in every annotation.

I labeled and classified text data for sentiment analysis and NLP applications. My responsibilities included annotating named entities such as products, locations, and brands for chatbot development and customer support. I contributed to building high-quality training datasets for machine learning. • Labeled customer reviews by sentiment (positive, neutral, negative). • Marked named entities to support NLP use cases. • Worked on Upwork platform to deliver annotated datasets. • Ensured thoroughness and accuracy in every annotation.

2022 - 2022

Education

Work History