Emmanuel Edet

Key Skills

Software

Appen

Telus

Scale AI

Top Subject Matter

AI Model Training and Evaluation

AI QA and Content Evaluation

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Freelancer Overview

AI Data Annotator | Appen. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen and Telus. Education includes Bachelor of Science, Leeds Beckett University (2017). AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

AI Data Annotator | Appen

AppenTextRLHF

As an AI Data Annotator at Appen, I labeled and categorized diverse datasets, ensuring high-quality, rubric-compliant annotations for AI model training. My responsibilities included correcting and reviewing LLM-generated annotations, evaluating AI outputs, and escalating ambiguities for iterative improvement. I actively contributed to RLHF workflows and operated in a self-directed, fully remote annotation environment. • Labeled text, image, audio, and conversational data according to project taxonomies. • Evaluated AI responses for accuracy, tone, coherence, and safety, offering structured written feedback. • Identified and reported inconsistencies while maintaining annotation integrity and rubric compliance. • Supported multiple concurrent projects, consistently achieving quality benchmarks and delivery timelines.

As an AI Data Annotator at Appen, I labeled and categorized diverse datasets, ensuring high-quality, rubric-compliant annotations for AI model training. My responsibilities included correcting and reviewing LLM-generated annotations, evaluating AI outputs, and escalating ambiguities for iterative improvement. I actively contributed to RLHF workflows and operated in a self-directed, fully remote annotation environment. • Labeled text, image, audio, and conversational data according to project taxonomies. • Evaluated AI responses for accuracy, tone, coherence, and safety, offering structured written feedback. • Identified and reported inconsistencies while maintaining annotation integrity and rubric compliance. • Supported multiple concurrent projects, consistently achieving quality benchmarks and delivery timelines.

2025 - Present

AI Data Annotator / Trainer | TELUS International

TelusText

As an AI Data Annotator/Trainer at TELUS International, I assessed online and AI-generated content for quality, relevance, and safety across improvement projects. Using strict annotation guidelines, I rated and classified diverse data types to support search and content moderation systems. My work consistently met stringent quality and accuracy standards within a remote workflow. • Evaluated and rated AI-generated and user content using structured judgment frameworks. • Supported search relevance and recommendation improvements through accurate annotation. • Maintained rubric adherence throughout the review and classification process. • Ensured dataset accuracy and compliance by following project-specific requirements.

As an AI Data Annotator/Trainer at TELUS International, I assessed online and AI-generated content for quality, relevance, and safety across improvement projects. Using strict annotation guidelines, I rated and classified diverse data types to support search and content moderation systems. My work consistently met stringent quality and accuracy standards within a remote workflow. • Evaluated and rated AI-generated and user content using structured judgment frameworks. • Supported search relevance and recommendation improvements through accurate annotation. • Maintained rubric adherence throughout the review and classification process. • Ensured dataset accuracy and compliance by following project-specific requirements.

2025 - 2026

Education

Work History