Chiamaka A.

Key Skills

Software

Other

Top Subject Matter

Dermatology/aesthetic nursing

patient assessment

clinical documentation quality for AI evaluation

Top Data Types

Text

Document

Top Task Types

No task types listed

Freelancer Overview

Aesthetic Registered Nurse (SKIN101 Clinics) — AI-documentation-aware clinical documentation and evaluation support. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Public Health, N/A and Bachelor of Science in Nursing, Adeleke University (2021). AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Aesthetic Registered Nurse (SKIN101 Clinics) — AI-documentation-aware clinical documentation and evaluation support

Other

Provided AI-adjacent clinical documentation and model evaluation support by improving the accuracy and safety of healthcare records using evidence-based reasoning. Applied clinical judgment to identify and document logical issues in healthcare scenarios relevant to AI model error detection and evaluation. Coordinated follow-up monitoring workflows that reinforced high-quality structured outputs used for training and assessment. • Worked with an AI documentation tool (Smart Clinic) and ensured nursing record completeness • Evaluated contraindications, skin conditions, and patient histories to support consistent clinical labeling • Maintained detailed EHR documentation practices aligned with knowledge-training quality requirements • Used patient follow-up engagement metrics to indirectly validate record reliability and correctness

2024 - Present

Registered Nurse (National Youth Service Corps) — AI-assisted documentation adoption and evaluation support

OtherText

Supported AI training and healthcare knowledge quality improvements by adopting AI-assisted documentation and using it to increase record accuracy. Participated in change management for digital clinical workflows, ensuring teams could produce consistent, structured clinical data suitable for downstream AI tasks. Used clinical safety reasoning to detect and document failure modes during patient care that translate to healthcare AI evaluation needs. • Implemented Smart Clinic across a 12-person nursing team, reducing charting time and raising documentation accuracy to 100% • Performed triage, monitoring, and care planning across acute and chronic cases to support high-fidelity clinical record generation • Led demonstrations and peer-led training for new digital workflows to ensure reliable data capture • Coordinated community health education and immunization programs to support population-health knowledge contexts

2023 - 2024

Education

Work History