Crpyt C.

Key Skills

Software

Appen

Telus

Top Subject Matter

AI/ML training datasets for search evaluation and content moderation

AI model training data labeling and validation

Top Data Types

Text

Video

Image

Top Task Types

Classification

Evaluation/Rating

Data Collection

Question Answering

Freelancer Overview

AI Data Annotator (Appen — Remote). Core strengths include Appen and Telus. Education includes Master of Science, Nassarawa State University, Keffi (2020) and Postgraduate Diploma in Education, National Teachers’ Institute (2016). AI-training focus includes data types such as Text, Image, and Video and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Data Annotator — TELUS International (Remote)

TelusTextClassification

Worked as an AI Data Annotator supporting the development of advanced AI models through data labeling, categorization, and validation. Applied detailed annotation instructions with a focus on precision, pattern recognition, and adherence to quality standards. Helped maintain dataset quality control by identifying and resolving errors to ensure the data met project requirements. • Performed labeling and validation tasks for AI training data in a remote environment. • Supported quality control processes including error identification and resolution. • Maintained consistent performance across multiple project types while meeting project guidelines. • Completed tasks requiring careful review to ensure training data compliance.

2022 - 2025

AI Data Annotator — Appen (Remote)

AppenTextClassification

Served as an AI Data Annotator providing high-volume labeling and annotation work to support AI and machine learning training projects. Ensured work consistently met strict quality, accuracy, and productivity targets while following complex project-specific guidelines. Produced reliable annotations through weekly QA reviews and edge-case identification. • Completed search evaluation, content moderation, and data labeling tasks across multiple projects (e.g., OGDEN, ARROW, FALCON). • Annotated and validated diverse dataset inputs while maintaining accuracy above the 90% benchmark. • Followed detailed instructions and handled edge cases to preserve dataset consistency. • Conducted weekly quality assurance to improve dataset reliability for model training.

2022 - 2025

Education

Work History