Ezekwueme A.

Key Skills

Software

Other

Appen

Top Subject Matter

AI annotation and response evaluation and data quality review (online QA tasks)

Healthcare records data cleaning

Standardisation Domain Expertise

Top Data Types

Audio

Video

Image

Top Task Types

Classification

Data Collection

RLHF

Evaluation/Rating

Prompt + Response Writing (SFT)

Fine-tuning

Freelancer Overview

Freelance Online QA & AI Data Evaluation Support (Remote). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, University of Nigeria, Nsukka (2022) and West African Senior School Certificate Examination, Festlad College (2015). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Freelance Online QA & AI Data Evaluation Support (Remote)

OtherText

Reviewed online written responses and structured outputs against project instructions, rating criteria, and quality expectations. Checked submissions for accuracy, relevance, completeness, grammar, consistency, and instruction-following. Identified issues such as unsupported or overly generic AI-like content, unsafe content, duplicates, and off-scope responses.• Assessed relevance, accuracy, grammar, completeness, tone, and rubric alignment.• Flagged AI-generated weaknesses, missing requirements, and unsafe or duplicated outputs.• Provided concise feedback notes to help improve annotation and writing quality.• Managed independent remote review work while maintaining confidentiality and meeting deadlines.

2026 - Present

Data Cleaning & Standardisation Training (TheGreyIT)

OtherClassification

Identified and corrected data entry errors in healthcare records and structured reporting sheets. Standardised field formats such as dates, coding fields, and patient identifiers to improve consistency across datasets. Removed duplicate records and reviewed conflicting entries using agreed quality-control steps while documenting correction protocols.• Corrected healthcare record data entry errors and inconsistencies.• Standardised date/coding/patient identifier formats for dataset uniformity.• Deduplicated and resolved conflicting entries via QC procedures.• Documented data quality issues and governance-focused correction protocols.

2025 - 2026

Data Analysis & Filtering (TheGreyIT)

OtherData Collection

Filtered and organised healthcare datasets covering patient demographics, clinical outcomes, and operational metrics. Performed data validation checks by identifying duplicates, missing values, inconsistent fields, and unusual entries. Prepared cleaned datasets for analysis in SPSS and Excel, supporting downstream reporting and decision-making.• Filtered healthcare datasets for analysis readiness.• Conducted validation to detect duplicates, missing values, inconsistencies, and outliers.• Cleaned and arranged data for SPSS/Excel workflows with basic Python used for arrangement/simple analytics.• Produced management reports summarising patient flow, procedure volumes, and clinical outcomes.

2022 - 2025

Education

Work History