Sarmad Siyal

Key Skills

Software

Internal/Proprietary Tooling

CVAT

Roboflow

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Video

Image

Top Label Types

Classification

Evaluation Rating

Transcription

Bounding Box

Tracking

Freelancer Overview

I am a dedicated data annotation and labeling specialist with hands-on experience in audio, image, and video annotation for AI training data. My background includes annotating over 400 audio clips for speech detection and language identification tasks, as well as practicing object tracking and bounding box labeling using tools like CVAT and Roboflow. I consistently follow detailed guidelines to ensure high-quality, accurate, and consistent datasets suitable for machine learning in computer vision and speech recognition domains. My strong attention to detail, proficiency with MS Excel and Google Sheets, and commitment to quality assurance allow me to deliver reliable data for AI projects. I am disciplined in remote work and always open to feedback to further improve my annotation skills.

Labeling Experience

Image Annotation Practice for Object Detection

RoboflowImageBounding BoxClassification

Performed image annotation tasks focused on object detection by applying bounding boxes to clearly defined objects within images. Ensured accurate and consistent labeling by following predefined class rules and annotation guidelines. Paid close attention to box alignment and object boundaries to support reliable model training. Reviewed completed annotations to maintain quality and reduce labeling inconsistencies.

Performed image annotation tasks focused on object detection by applying bounding boxes to clearly defined objects within images. Ensured accurate and consistent labeling by following predefined class rules and annotation guidelines. Paid close attention to box alignment and object boundaries to support reliable model training. Reviewed completed annotations to maintain quality and reduce labeling inconsistencies.

2025 - 2025

Video Annotation Practice using CVAT

CVATVideoBounding BoxTracking

Completed hands-on video annotation practice using the CVAT tool. Labeled short video clips by applying bounding boxes to objects and maintaining label consistency across frames. Practiced basic object tracking, frame-by-frame review, and proper use of annotation tools while following predefined class definitions and labeling rules to reduce errors and maintain data quality.

Completed hands-on video annotation practice using the CVAT tool. Labeled short video clips by applying bounding boxes to objects and maintaining label consistency across frames. Practiced basic object tracking, frame-by-frame review, and proper use of annotation tools while following predefined class definitions and labeling rules to reduce errors and maintain data quality.

2025 - 2025

Audio Data Annotation for Speech & Noise Detection

Internal Proprietary ToolingAudioClassificationEvaluation Rating

Annotated audio clips for AI training tasks that are focused on identifying speech and non-speech content. Classified audio based on language type, number of speakers, and presence of background noise. Followed detailed annotation guidelines to maintain high accuracy and consistency across datasets. Reviewed unclear samples, multiple times to avoid assumptions and ensure reliable labeling. Contributed to the preparation of high-quality training data within defined timelines.

Annotated audio clips for AI training tasks that are focused on identifying speech and non-speech content. Classified audio based on language type, number of speakers, and presence of background noise. Followed detailed annotation guidelines to maintain high accuracy and consistency across datasets. Reviewed unclear samples, multiple times to avoid assumptions and ensure reliable labeling. Contributed to the preparation of high-quality training data within defined timelines.

2025 - 2025

Education

Work History