Favour E.

Key Skills

Software

Other

Appen

Labelbox

CVAT

Top Subject Matter

Generative AI output quality assurance

fact checking

and hallucination suppression

Top Data Types

Text

Image

Document

Audio

Top Task Types

Data Collection

Classification

Red Teaming

Freelancer Overview

AI Prompt Engineer & Data Annotation Specialist (Freelance Remote Operations). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Appen, and CVAT. Education includes Bachelor of Arts, University of Abuja (2025) and Professional Certificate, Coursera. AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

AI Content Auditor - ATLAS Capture

LabelboxImageClassification

Evaluated and categorized a high-volume dataset for sentiment analysis outcomes while enforcing quality benchmarks and guideline adherence. Identified hallucinated or non-compliant model responses and provided diagnostics to improve downstream validation logic. Translated audit findings into actionable feedback that supported refinement of scoring matrices and quality guidelines. • Ensured dataset integrity through structured review and classification • Flagged over a thousand instances of hallucinations or guideline violations • Synthesized feedback to inform downstream model scoring and validation • Supported ethical alignment by enforcing compliance with quality standards

2026 - Present

AI Prompt Engineer - Freelance Remote Operations

CVATTextClassificationRed Teaming

Led freelance remote work focused on optimizing large language model outputs through advanced prompt engineering and rigorous quality assurance. Built and refined scalable prompt blueprints to improve accuracy, reduce hallucinations, and strengthen factual reliability. Conducted post-generation audits to detect discrepancies, bias patterns, and cognitive errors across generated responses. • Architected and refined 500+ high-performing prompts for summarization and information extraction • Created a standardized repository of reusable prompt blueprints to accelerate production timelines • Performed quality audits to flag and rectify factual discrepancies, systemic bias, and hallucinations • Applied evaluation thinking to maximize model fidelity and improve user-centric generative results

2026 - Present

Data Annotator & AI Content Auditor (ATLAS CAPTURE)

OtherText

Evaluated and meticulously categorized a high-volume dataset exceeding 10,000 outputs under sentiment analysis and quality benchmarks. Isolated hallucinated or non-compliant model responses to improve dataset integrity and ethical alignment. Synthesized actionable feedback that informed downstream model scoring matrices and validation guidelines. • Applied sentiment analysis adherence checks and guideline-based categorization • Flagged hallucinations and non-compliant outputs for correction • Translated findings into structured diagnostics for model validation • Helped refine scoring matrices based on observed quality issues

2026 - Present

AI Prompt Engineer & Data Annotation Specialist (Freelance Remote Operations)

OtherText

Provided post-generation quality audits of LLM outputs to identify factual errors, systemic bias, and hallucinations while improving response reliability for downstream use. Performed comprehensive review cycles to detect, flag, and rectify non-compliant generations against established guidelines. Contributed to higher model fidelity through iterative evaluation and verification practices. • Conducted fact verification and bias mitigation checks on generated outputs • Detected and isolated hallucinated or non compliant responses for correction • Produced diagnostic feedback to refine validation guidelines • Supported red-teaming style quality assurance processes

2026 - Present

AI Data Contributor (Appen / RemoExpert)

AppenAudioData Collection

Contributed to remote AI data preparation by tagging and verifying large volumes of multimodal content for model development needs. Coordinated with remote teams on iterative tuning workflows to help reduce annotation errors and improve baseline consistency. Maintained strong accuracy and volume performance in a milestone-driven environment while applying quality controls. • Tagged and verified 20,000+ text, audio, and visual assets • Supported iterative prompt tuning and fine-tuning initiatives to reduce annotation discrepancies • Followed guidelines for consistent labeling quality and dataset integrity • Maintained accuracy and throughput targets in a high-velocity remote setting

2022 - 2023

Education

Work History