Gloryboy

Key Skills

Software

Other

Top Subject Matter

Language and visual AI training datasets

Machine learning annotation datasets

Healthcare/diabetes case management

Top Data Types

Text

Image

Top Task Types

Classification

Freelancer Overview

Aligner – Data Annotation Specialist (01/2026–03/2026). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, N, and A. Education includes Bachelor of Science, University of Derby (2022) and Diploma, OAUTHC, Wesley Guild Hospital School of Nursing (2016). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Classification.

Labeling Experience

Mid Cheshire Hospital Trust, Infinity House — Community Diabetic Specialist Nurse (10/2024–Present)

Classification

Provided community diabetes care, which included structured patient education and support. While the work was primarily clinical, it involved assessing patient cases and communicating standardized guidance. These activities supported quality-of-care standards and informed decision-making for ongoing patient management. • Managed complex diabetes cases in the community • Delivered patient education aligned to defined clinical standards • Supported ongoing monitoring and care planning • Coordinated care activities to maintain service quality

2024 - Present

Aligner – Data Annotation Specialist (01/2026–03/2026)

OtherTextClassification

Conducted detailed annotation of language datasets for AI development. Applied rigorous quality control to review and correct labeled data. Improved training data quality for diverse AI applications. • Labeled and categorized dataset items • Performed quality assurance checks and corrections • Supported model training readiness via data integrity improvements • Collaborated with teams to ensure consistent labeling standards

2026 - 2026

Outlier – Data Annotation Specialist (04/2025–06/2025)

OtherTextClassification

Meticulously labeled and categorized datasets for machine learning projects. Ensured high-quality annotation through attention to dataset consistency. Maintained data integrity while contributing to cross-functional annotation workflows. • Produced labeled dataset outputs for ML training • Verified label accuracy against project requirements • Organized/categorized data to support downstream use • Coordinated with other team members to preserve data quality

2025 - 2025

Education

Work History