Zainab Ghayoor

Key Skills

Software

Playment

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Task Types

Classification

Evaluation Rating

Prompt Response Writing SFT

Text Generation

Text Summarization

Freelancer Overview

I have practical experience in data labeling through my work with Telus International on the Multimango and Parimango platforms. My tasks included image, audio, and video annotation, semantic extraction, and rubric-based evaluation. I am skilled at following detailed instructions, maintaining consistency, and producing high-quality AI training data. I have also completed summary analysis and other annotation tasks that strengthened my ability to interpret, categorize, and refine complex datasets. These experiences make me well-prepared for AI training and data labeling roles.

Labeling Experience

Aggregate analysis

PlaymentVideoText Summarization

I worked on a variety of multimodal AI training projects at Telus Digital through the Multimango and Parimango platforms. These projects involved high-volume datasets across text, image, audio, and video, requiring strict adherence to rubrics, strong attention to detail, and consistent application of quality standards. My work directly contributed to improving model accuracy, contextual understanding, and overall AI performance. Key Tasks & Responsibilities Aggregate Analysis: Reviewed and compared multiple model outputs, selecting the most accurate response based on detailed rubrics. Image Referencing & Classification: Labeled images, identified objects, scenes, and attributes, and evaluated model outputs against visual content. Visual Extractions: Extracted specific information from images for training and validation. Audio Annotation & Analysis: Transcribed, tagged, and evaluated audio clips, ensuring alignment between content and model responses. Video Annotation

I worked on a variety of multimodal AI training projects at Telus Digital through the Multimango and Parimango platforms. These projects involved high-volume datasets across text, image, audio, and video, requiring strict adherence to rubrics, strong attention to detail, and consistent application of quality standards. My work directly contributed to improving model accuracy, contextual understanding, and overall AI performance. Key Tasks & Responsibilities Aggregate Analysis: Reviewed and compared multiple model outputs, selecting the most accurate response based on detailed rubrics. Image Referencing & Classification: Labeled images, identified objects, scenes, and attributes, and evaluated model outputs against visual content. Visual Extractions: Extracted specific information from images for training and validation. Audio Annotation & Analysis: Transcribed, tagged, and evaluated audio clips, ensuring alignment between content and model responses. Video Annotation

2024

Education

Work History