Islamiyat A.

Key Skills

Software

Labelbox

Scale AI

Top Subject Matter

Multimodal AI

Multimodal AI Training

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Object Detection

Freelancer Overview

AI Data Annotator & QA Specialist. Core strengths include Labelbox and Scale AI. Education includes Professional Certificate, N/A (2021) and Bachelor of Science, N/A (2018). AI-training focus includes data types such as Image and labeling workflows including Object Detection.

Labeling Experience

AI Data Annotator & QA Specialist

LabelboxImageObject Detection

In my role as an AI Data Annotator & QA Specialist, I performed image and video annotation focusing on object detection, scene interpretation, and emotional context recognition. I ensured the accuracy of labeled data through structured processes and strict guideline adherence. My work involved collaboration with remote teams to maintain data quality and annotation consistency. • Annotated images and video frames to capture subjects, actions, and environments. • Validated and corrected AI-generated outputs for compliance. • Labeled nuanced features such as lighting, spatial orientation, and emotional tone. • Maintained high standards for dataset accuracy and contributed to continual improvement.

2024 - 2026

Multimodal AI Training Contributor

Scale AIImageObject Detection

As a Multimodal AI Training Contributor, I worked on large-scale dataset creation for computer vision and multimodal AI systems. I structured and labeled complex datasets involving human activities, objects, and environment context. My responsibilities included peer review, feedback, and maintaining high annotation standards across ambiguous scenarios. • Labeled human activities, objects, and environmental attributes in datasets. • Reviewed and refined peer annotations for consistency. • Applied consistent labeling to edge cases and ambiguous scenes. • Supported dataset creation for advanced computer vision model training.

2022 - 2023

Audio Evaluator

AudioEvaluation/Rating

Evaluated large volumes of short audio clips, assessing pronunciation, fluency, intonation, and accent authenticity against defined rubrics. I also verified alignment between audio recordings and transcriptions, identifying mismatches and semantic inconsistencies. Flagged low-quality or ambiguous audio data and recommended corrective actions for dataset refinement and I achieved 98% evaluation accuracy while reviewing 2,000+ audio samples, improving dataset reliability and model training outcomes.

2021 - 2022

Education

Work History