David S.

Key Skills

Software

Label Studio

Telus

Appen

Other

Top Subject Matter

Computer vision and video intelligence (object detection, segmentation, tracking/temporal labeling)

Top Data Types

Image

Text

Audio

Video

Document

Top Task Types

Bounding Box

Segmentation

Entity (NER) Classification

Point/Key Point

Object Detection

Transcription

Polygon

Freelancer Overview

I'm a domain expert and AI training contributor based in Abuja, Nigeria, with a Bachelor of Science in Architecture from Ahmadu Bello University and a growing specialization in data annotation and AI model development. My background in architectural design gives me something most annotators don't have real-world technical expertise. I understand spatial reasoning, design intent, and technical documentation at a professional level, which means I don't just label data, I evaluate it with genuine domain knowledge. This translates directly into higher-quality, more accurate training inputs for AI systems.

Labeling Experience

CAD Domain Expert — AI Trainer (Atlas Capture)

OtherVideo

Reviewed and evaluated CAD design files alongside video content to create high-quality AI training data. Assessed design clarity, spatial accuracy, and technical correctness to ensure model inputs met expected standards. Produced labeled minutes and verified dataset consistency against platform quality benchmarks. • Evaluated quality and accuracy of labeled data produced from CAD/video sources • Identified systematic gaps in dataset representation and suggested structured improvements • Collaborated asynchronously with AI development teams to refine labeling guidance • Helped benchmark accuracy against quality thresholds for next-generation models

2026 - Present

Data Annotation Specialist, Atlas Capture (Abuja, Nigeria)

VideoBounding Box

Annotated and labeled image and video datasets to support AI model training for computer vision and video intelligence applications. Applied bounding boxes, segmentation masks, object classifications, and temporal labels following complex annotation guidelines. Maintained high accuracy while meeting daily volume targets in a production-level environment. • Labeled 20+ image and video datasets per day for model training pipelines • Produced object detection and classification labels plus temporal labeling for videos • Performed peer review and quality checks to correct labeling errors • Collaborated with team leads to resolve edge cases and refine standards

2026 - Present

Architectural Design Specialist (Macro Acres Limited)

OtherDocumentEntity (NER) Classification

No direct data labeling or AI training activities are described for this role. The position is focused on producing architectural drawing packages and government-standard documentation rather than labeling AI datasets. • Delivered multi-sheet technical drawing sets across project typologies • Produced CAD drafting deliverables (plans, sections, elevations) for client and government submission • Developed 3D models and renderings for stakeholder communication • Managed concurrent design revisions and maintained drawing integrity

2024 - 2025

Education

Work History