Olivia F.

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Text

Video

Image

Top Task Types

Segmentation

Text Generation

Classification

Freelancer Overview

OLIVIA FREYA London, UK | +44 7521 791802 | [email protected] | linkedin.com/in/oliviafreya | Available for immediate remote start PROFESSIONAL SUMMARY Reliable and detail-oriented professional with 5+ years of proven experience in AI data training, customer service, data entry, and virtual assistance. Excel at delivering high-accuracy results, meeting strict deadlines, and maintaining 98%+ quality scores in fast-paced remote environments. Strong communicator with excellent typing speed (85 WPM) and proficiency in AI annotation tools, CRM systems, and Microsoft Office Suite. Seeking remote AI training, customer support, data entry, or virtual assistant roles where I can contribute immediately and exceed performance targets. SKILLS • AI Data Annotation & Training | ChatGPT Prompt Engineering | Image & Text Labeling • Customer Service Excellence | Zendesk | Freshdesk | Live Chat Support • Data Entry & Management | Google Sheets | Excel | Airtable | 85 WPM Typing • Virtual Assistance | Scheduling | Email Management | Canva | Slack | Asana • Remote Tools Mastery | Zoom | Google Workspace | Microsoft Teams | Trello • Soft Skills | Active Listening | Problem Solving | Time Management | 100% Remote Reliability PROFESSIONAL EXPERIENCE AI Data Trainer & Quality Analyst Scale AI (Remote) - Jan 2023 – Present • Trained and evaluated large language models by labeling 2,500+ data points daily with 99.2% accuracy, directly improving model performance for major tech clients • Pe

Labeling Experience

AI Data Trainer & Quality Analyst

TextText Generation

Trained and evaluated large language models by handling high-volume data labeling and prompt response scoring to directly improve model performance for major technology clients. The scope of the project involved processing up to 2,500+ distinct data points daily while maintaining a strict quality standard of 99.2% accuracy. Key tasks included executing detailed text categorisation, sentiment analysis, and named entity recognition (NER) to optimise model reasoning and adherence to alignment safety protocols.

2023 - Present