Priscilla Okpapi

Key Skills

Software

Data Annotation Tech

Appen

Mindrift

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Geospatial Tiled Imagery

Image

Text

Top Label Types

Action Recognition

Classification

Data Collection

Emotion Recognition

Entity Ner Classification

Object Detection

Question Answering

Text Generation

Text Summarization

Transcription

Freelancer Overview

I am a detail-oriented Data Specialist with over 4 years of experience in data management, annotation, and quality assurance across diverse domains. My expertise includes collecting, cleaning, and labeling datasets for text, images, audio, and video, as well as performing pairwise comparisons to support AI model evaluation. I am highly skilled in using Excel, SQL, Microsoft Office, and Google Workspace to ensure data accuracy and support reporting needs. I am passionate about contributing to AI training data projects, leveraging my strong analytical skills and commitment to data integrity to enhance the safety and reliability of AI-generated content. My background in operational leadership and customer relations also enables me to collaborate effectively and deliver high-quality results in fast-paced environments.

Labeling Experience

AI Data Annotator | RWS (Remote – Contract)

Data Annotation TechImageEntity Ner ClassificationClassification

As an AI Data Annotator at RWS, I labeled and evaluated text datasets for NLP and AI model training projects. I focused on high-volume annotation tasks, regularly surpassing quality metrics established by the project. I ensured precise intent classification, contextual accuracy, and relevance evaluation for every dataset. • Maintained a 98% quality rating across annotation work • Evaluated and provided feedback on AI-generated outputs • Applied detailed annotation guidelines and escalated edge cases • Supported the refinement of annotation standards and processes.

As an AI Data Annotator at RWS, I labeled and evaluated text datasets for NLP and AI model training projects. I focused on high-volume annotation tasks, regularly surpassing quality metrics established by the project. I ensured precise intent classification, contextual accuracy, and relevance evaluation for every dataset. • Maintained a 98% quality rating across annotation work • Evaluated and provided feedback on AI-generated outputs • Applied detailed annotation guidelines and escalated edge cases • Supported the refinement of annotation standards and processes.

2024 - 2025

Data Annotation Specialist (Freelance – Remote)

MindriftAudioClassification

As a Freelance Data Annotation Specialist, I performed structured text and image labeling for diverse machine learning workflows. I prioritized guideline adherence and delivered consistent quality in annotated datasets. I was responsible for managing large datasets and upholding productivity targets. • Conducted quality control reviews for accuracy • Managed data using Excel and Google Sheets • Maintained high annotation standards and met KPIs • Supported scalable data labeling processes for clients.

As a Freelance Data Annotation Specialist, I performed structured text and image labeling for diverse machine learning workflows. I prioritized guideline adherence and delivered consistent quality in annotated datasets. I was responsible for managing large datasets and upholding productivity targets. • Conducted quality control reviews for accuracy • Managed data using Excel and Google Sheets • Maintained high annotation standards and met KPIs • Supported scalable data labeling processes for clients.

2023 - 2025

Data Annotation Specialist | Hibiscus (Remote – Project-Based)

AppenImageClassificationQuestion Answering

As a Data Annotation Specialist at Hibiscus, I annotated and categorized text and image data points for AI training datasets. I maintained a high accuracy rate, contributing to multiple concurrent projects in a fast-paced, remote environment. I also handled dataset validation and performed rigorous quality checks. • Annotated and categorized over 5,000 data points • Achieved over 95% annotation accuracy across tasks • Corrected inconsistencies to strengthen dataset integrity • Consistently met daily and weekly productivity benchmarks.

As a Data Annotation Specialist at Hibiscus, I annotated and categorized text and image data points for AI training datasets. I maintained a high accuracy rate, contributing to multiple concurrent projects in a fast-paced, remote environment. I also handled dataset validation and performed rigorous quality checks. • Annotated and categorized over 5,000 data points • Achieved over 95% annotation accuracy across tasks • Corrected inconsistencies to strengthen dataset integrity • Consistently met daily and weekly productivity benchmarks.

2023 - 2024

Education

Work History