Chinedu J.

Key Skills

Software

Don't disclose

Top Subject Matter

Linguistics Domain Expertise

AI model evaluation

training dataset curation

Top Data Types

Text

Top Task Types

No task types listed

Freelancer Overview

Generalist — AI model development, evaluation, and training dataset support (Remote, UK). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Master’s Degree in International Business, Robert Gordon University (2022) and Bachelor’s Degree in English Language and Literature, Imo State University (2016). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Generalist — AI model development, evaluation, and training dataset support (Remote, UK)

Don't discloseText

Served as an AI generalist focused on evaluating, refining, and optimizing model outputs across linguistic and analytical tasks. Reviewed AI responses for clarity, coherence, and factual accuracy to improve output quality and relevance. Provided structured performance feedback to influence tool improvements and annotation efficiency. • Evaluated AI response quality for linguistic correctness and factual accuracy • Refined and optimized model outputs to meet relevance and clarity targets • Supplied structured feedback for tool improvements and faster annotation workflows • Collaborated to create and curate precise training datasets for fine-tuning

2025 - 2026

Customer Service Fraud Prevention Analyst — QA-focused case review and fraud prevention analysis (UK)

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Worked on fraud prevention analysis with a strong emphasis on maintaining quality assurance across reviewed cases. Conducted risk prevention review work that required consistent evaluation of customer and business cases for correctness and policy compliance. Maintained 100% quality assurance during the 2022–2023 period for all reviewed work. • Reviewed customer and business cases for fraud risk prevention outcomes • Ensured high-quality evaluation and adherence to review standards • Supported risk prevention programs for diverse customer segments • Contributed to maintaining QA accuracy across reviewed cases

2022 - 2024

Education

Work History