Azhar D.

Key Skills

Software

Appen

OneForma

Telus

Mindrift

Top Subject Matter

LLM AI

Speech Recognition and Audio Analysis

Computer Vision and Activity Recognition

Top Data Types

Image

Audio

Video

Text

Top Task Types

Bounding Box

Transcription

Action Recognition

Freelancer Overview

AI Data Annotator / Image Annotation Specialist. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor of Arts, Shah Abdul Latif University (2014). AI-training focus includes data types such as Image, Audio, and Video and labeling workflows including Bounding Box, Transcription, and Action Recognition.

Labeling Experience

LLM Training Data Annotator / Rater

Text

I reviewed and ranked AI-generated text responses for quality, factual accuracy, and tone. Detailed project guidelines were followed to ensure annotation consistency across large datasets. Regular communication was maintained with project managers to address blockers and edge cases. • Text prompt-response evaluation • Quality and tone rating for AI texts • Annotation consistency enforcement • Collaboration for workflow efficiency

Present

AI Data Annotator / Video Annotation Specialist

VideoAction Recognition

I labeled actions, events, and objects across video frames for activity recognition models. Object movement was tracked and temporal boundaries for scene changes were annotated. Classification tags were applied to video clips based on content, context, and task-specific rubrics. • Frame-by-frame action annotation • Object tracking across frames • Temporal segmentation for scenes • Video content classification

Present

AI Data Annotator / Audio Annotation Specialist

AudioTranscription

I transcribed spoken English audio clips with high accuracy across various accents. Audio data was segmented by speaker turns and conversation boundaries for diarization. Language varieties, accents, and audio quality issues were tagged using structured annotation formats. • High-accuracy speech transcription • Speaker diarization and segmentation • Annotation of accents and audio quality • Tagging unintelligible and noisy segments

Present

AI Data Annotator / Image Annotation Specialist

ImageBounding Box

I labeled objects, bounding boxes, and segmentation masks for computer vision training datasets. Images were classified by category, quality, and content type based on detailed client-specific guidelines. Annotation consistency was verified with each QA pass, ensuring labeling error correction. • Object detection and bounding box annotation • Image classification by content and quality • Segmentation masks applied to visual data • QA error correction and consistency checks

Present

Education

Work History