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I’m Mansoor Ahmed, an AI Data Annotator and AI Generalist based in Sindh, Pakistan. I work across video, audio, image, and 2D floor plan (spatial) annotation, focusing on high-accuracy labeling, boundary/timestamp precision checks, and strong guideline compliance. I also evaluate content quality and search relevance, including search result freshness, and review annotation merges/splits to protect dataset integrity. I enjoy turning raw media into well-structured training and evaluation datasets, and I’m currently building deeper skills in RLHF, prompt engineering, and AI output evaluation.…I’m Mansoor Ahmed, an AI Data Annotator and AI Generalist based in Sindh, Pakistan. I work across video, audio, image, and 2D floor plan (spatial) annotation, focusing on high-accuracy labeling, boundary/timestamp precision checks, and strong guideline compliance. I also evaluate content quality and search relevance, including search result freshness, and review annotation merges/splits to protect dataset integrity. I enjoy turning raw media into well-structured training and evaluation datasets, and I’m currently building deeper skills in RLHF, prompt engineering, and AI output evaluation.

Mansoor Ahmed

Data Annotator, AI Evaluator, Audio Transcriber, +2

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I’m Mansoor Ahmed, an AI Data Annotator and AI Generalist based in Sindh, Pakistan. I work across video, audio, image, and 2D floor plan (spatial) annotation, focusing on high-accuracy labeling, boundary/timestamp precision checks, and strong guideline compliance. I also evaluate content quality and search relevance, including search result freshness, and review annotation merges/splits to protect dataset integrity. I enjoy turning raw media into well-structured training and evaluation datasets, and I’m currently building deeper skills in RLHF, prompt engineering, and AI output evaluation.…I’m Mansoor Ahmed, an AI Data Annotator and AI Generalist based in Sindh, Pakistan. I work across video, audio, image, and 2D floor plan (spatial) annotation, focusing on high-accuracy labeling, boundary/timestamp precision checks, and strong guideline compliance. I also evaluate content quality and search relevance, including search result freshness, and review annotation merges/splits to protect dataset integrity. I enjoy turning raw media into well-structured training and evaluation datasets, and I’m currently building deeper skills in RLHF, prompt engineering, and AI output evaluation.

Available to hire

I’m Mansoor Ahmed, an AI Data Annotator and AI Generalist based in Sindh, Pakistan. I work across video, audio, image, and 2D floor plan (spatial) annotation, focusing on high-accuracy labeling, boundary/timestamp precision checks, and strong guideline compliance.

I also evaluate content quality and search relevance, including search result freshness, and review annotation merges/splits to protect dataset integrity. I enjoy turning raw media into well-structured training and evaluation datasets, and I’m currently building deeper skills in RLHF, prompt engineering, and AI output evaluation.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Sindhi

Fluent

Urdu

Fluent

Work Experience

Floor Plan Annotation at Kaya Task

September 1, 2026 - Present

Annotated and labeled 2D architectural floor plans by marking walls, doors, and room boundaries. Built structured datasets to support training and evaluation of AI computer vision models.

Transcription, Script Reading & Audio Annotation at Pila8

May 1, 2026 - Present

Transcribed audio recordings and performed audio segmentation for structured datasets. Conducted script reading for professional call recording workflows to support reliable downstream processing.

Video Annotator & Quality Reviewer at Atlas Capture

May 1, 2026 - Present

Reviewed video annotations for accuracy and flagged errors. Evaluated merge/split decisions to maintain dataset integrity and ensure guideline-compliant annotation quality.

Content Evaluation & Search Result Freshness Evaluation at Mindrift

May 1, 2026 - Present

Evaluated video/image content for alignment, motion, and quality against project guidelines. Assessed search results for accuracy, freshness, and relevance while following strict scoring and compliance requirements.

Image & Data Annotation at Hive Micro

January 1, 2026 - Present

Annotated images using bounding boxes for object detection datasets. Categorized and labeled content according to project-specific taxonomies to support consistent dataset outputs.