Akwayi Mpah

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Top Label Types

Bounding Box

Segmentation

Freelancer Overview

I am a detail-oriented data annotation specialist with hands-on experience in OCR, video content evaluation, and LLM training data. My work involves transcribing on-screen text from videos with precise timestamping, annotating voice and audio-visual command datasets, and ensuring all outputs meet strict quality and guideline standards. I am skilled in structured labeling, quality assurance, and independent remote work, with a proven ability to deliver high-quality, accurate datasets for AI training. My background in medical laboratory sciences further enhances my attention to detail and commitment to data integrity.

Labeling Experience

Atlas Capture

Data Annotation TechVideoSegmentation

Atlas Capture is a data collection and annotation platform focused on training high-performance AI models through structured human feedback. Projects typically involve image, video, and text annotation tasks such as object detection, bounding box labeling, segmentation, classification, and content validation. Contributors follow detailed guidelines to ensure precision, consistency, and dataset reliability. The platform emphasizes quality control through multi-level reviews and performance scoring. Atlas Capture supports AI development across industries including computer vision, automation, and digital platforms. Projects are task-based, requiring attention to detail, accuracy, and timely delivery to maintain high dataset standards for machine learning training.

Atlas Capture is a data collection and annotation platform focused on training high-performance AI models through structured human feedback. Projects typically involve image, video, and text annotation tasks such as object detection, bounding box labeling, segmentation, classification, and content validation. Contributors follow detailed guidelines to ensure precision, consistency, and dataset reliability. The platform emphasizes quality control through multi-level reviews and performance scoring. Atlas Capture supports AI development across industries including computer vision, automation, and digital platforms. Projects are task-based, requiring attention to detail, accuracy, and timely delivery to maintain high dataset standards for machine learning training.

2025

Perle Labs

Data Annotation TechImageBounding Box

Perle Labs delivers high-quality data and image annotation projects that power AI and computer vision systems. Projects involve labeling images using bounding boxes, polygons, and keypoints, as well as text classification, entity tagging, and data validation. Annotators follow detailed guidelines, complete qualification tests, and work within structured QA workflows to maintain high accuracy standards. Tasks require precision, consistency, and strong attention to detail. The annotated datasets support applications in healthcare, retail analytics, autonomous systems, and smart surveillance. Performance is measured through accuracy scores and reviews, ensuring reliable datasets for training scalable machine learning models.

Perle Labs delivers high-quality data and image annotation projects that power AI and computer vision systems. Projects involve labeling images using bounding boxes, polygons, and keypoints, as well as text classification, entity tagging, and data validation. Annotators follow detailed guidelines, complete qualification tests, and work within structured QA workflows to maintain high accuracy standards. Tasks require precision, consistency, and strong attention to detail. The annotated datasets support applications in healthcare, retail analytics, autonomous systems, and smart surveillance. Performance is measured through accuracy scores and reviews, ensuring reliable datasets for training scalable machine learning models.

2025

Education

Work History