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David A.

David A.

Senior AI Data Annotation & Curation Specialist (Remote, Global AI Contractor)

Nigeria flagLagos, Nigeria

Key Skills

Software

Other
AppenAppen

Top Subject Matter

Multimodal data annotation and dataset curation
Freelance AI training data preparation and evaluation
AI&Data Systems research on annotation quality

Top Data Types

TextText
ImageImage

Top Task Types

ClassificationClassification

Freelancer Overview

Senior AI Data Annotation Specialist (Remote, Global AI Lab Contractor). Core strengths include Other. Education includes Doctor of Philosophy, Obafemi Awolowo University (2022) and Master of Science, Obafemi Awolowo University (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Senior AI Data Annotation Specialist (Remote, Global AI Lab Contractor)

OtherTextText

Annotated and validated 500,000+ data points across text and image datasets while maintaining benchmark-exceeding accuracy. Designed and refined annotation taxonomies to improve labeling efficiency and reduce ambiguity. Identified critical inconsistencies and contributed to measurable model performance gains through rigorous quality control. • 99.3% annotation accuracy against quality benchmarks. • Improved labeling efficiency by 35% using refined taxonomies. • Flagged inconsistencies contributing to 18% model performance improvement. • Led peer review sessions to ensure adherence to strict guidelines.

2026 - Present

AI Generalist & Dataset Analyst (Freelance)

OtherTextTextClassificationClassification

Synthesized high-volume datasets into structured outputs for AI training using complex rubrics for linguistic and semantic annotation. Evaluated AI-generated responses for correctness, bias, and ambiguity to support dataset and model reliability. Reduced dataset noise through systematic error detection to improve downstream model quality. • Annotated linguistic, semantic, and visual data for training. • Performed AI response evaluation for correctness, bias, and ambiguity. • Reduced dataset noise by 40% via error detection. • Delivered consistent high-quality outputs under tight deadlines.

2023 - 2025

Research Assistant (AI & Data Systems) — Obafemi Awolowo University

OtherTextText

Conducted research on data labeling accuracy and AI model reliability to strengthen training dataset quality. Developed frameworks for multi-level classification and tagging systems to support more consistent annotations. Published research focused on improving annotation consistency in AI datasets and worked with teams to validate labeled data. • Analyzed labeling accuracy and model reliability. • Built multi-level classification and tagging frameworks. • Published methods to improve annotation consistency. • Collaborated on dataset validation with cross-functional teams.

2022 - 2023

Education

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Obafemi Awolowo University

Doctor of Philosophy, Artificial Intelligence and Data Systems

Doctor of Philosophy
2019 - 2022
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Obafemi Awolowo University

Master of Science, Data Science and Machine Learning

Master of Science
2017 - 2019

Work History

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Encord

Senior Ai Data Annotation Specialist

London
2026 - Present
O

Obafemi Awolowo University

Ai and Data systems research assistant

Osun
2022 - 2023