Imtiaz A.

Key Skills

Software

SuperAnnotate

Remotasks

Don't disclose

Top Subject Matter

Computer Vision (image annotation)

AI Training Dataset Quality Assurance (validation)

Computer Vision (project-based data collection/validation)

Top Data Types

Image

Text

Document

Top Task Types

Classification

Object Detection

Data Collection

Freelancer Overview

AI Annotation Specialist — SuperAnnotate (Remote). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include SuperAnnotate, Remotasks, and Don't disclose. Education includes Bachelor of Electrical Engineering, Sukkur IBA University (2025). AI-training focus includes data types such as Image and Text and labeling workflows including Classification, Object Detection, and Evaluation.

Labeling Experience

Embedded Systems Engineer (Freelance) — AI-based computer vision projects

Don't discloseImageData Collection

Contributed to multiple embedded and automation projects that included AI-based computer vision development, supporting data collection and validation activities as part of project workflows. Applied Python-based tooling and quality-minded validation steps to improve dataset readiness for vision solutions. Delivered project outputs through iterative development and testing suited for computer vision system requirements. • Assisted in building computer vision components for smart agriculture use cases. • Supported data collection/curation as part of vision solution development. • Applied validation-driven iteration to improve dataset utility. • Delivered end-to-end automation and AI project deliverables.

2021 - Present

AI Annotation Specialist (excluded) - SuperAnnotate

RemotasksImageClassificationObject Detection

Conduct dataset annotation work for computer vision and NLP applications while maintaining high quality and consistency standards. Perform labeling activities aligned with project requirements and validation guidelines. Apply attention to detail and domain understanding of AI dataset preparation. • Computer vision dataset annotation • NLP dataset labeling • Quality checks and guideline compliance • Edge-case awareness and accuracy focus

2025 - 2025

AI Annotation Specialist — SuperAnnotate (Remote)

SuperAnnotateImageClassificationObject Detection

Annotated computer vision datasets for classification and related quality requirements while working remotely at SuperAnnotate. Maintained dataset quality standards through review cycles and ensured annotations met task guidelines. Coordinated labeling outputs in a remote workflow environment with attention to accuracy and consistency. • Labeled computer vision data for downstream AI applications. • Performed quality checks to keep annotations compliant with specifications. • Supported dataset curation activities for vision tasks. • Collaborated remotely using SuperAnnotate tooling.

2025 - 2025

AI Training Contributor — Remotasks (Remote)

RemotasksText

Performed data validation and edge-case analysis for AI training datasets remotely at Remotasks. Assessed dataset items to support model training readiness and reduce annotation or quality issues. Focused on identifying problematic examples and improving overall dataset reliability for AI model training. • Validated training data quality and consistency. • Conducted edge-case analysis for model training robustness. • Reviewed items to flag potential errors or anomalies. • Supported preparation of datasets for AI training pipelines.

2023 - 2024

Education

Work History