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Frederick Divine

@frederickdivine

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AI evaluator at Appen who improved dataset reliability by 15% through model-output review.

Nigeria

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What I'm looking for

I'm looking for remote-first, flexible, task-based or project-based freelance work with a strong focus on quality, accuracy, and guideline compliance.

At Appen, I evaluated and annotated datasets for AI model training, reviewing generated content for language quality, logic, and relevance. I identified inconsistencies, bias, and edge cases, improving dataset reliability by 15%.

At Turing, I conducted final editorial and technical reviews of AI-related tasks and assisted with pilot tasks, guideline refinement, and reviewer calibration. As a freelance Data Analyst on Upwork, I analyzed structured datasets and reduced client-reported issues by 20% through validation and structured review.

At OpusTools, I contributed to backend logic for AI-adjacent tools and documented system behavior and workflows. I use Python and SQL for data analysis and validation, alongside experience in technical writing, editorial review, and rubric-based assessment.

Experience

Work history, roles, and key accomplishments

Current

AI QA Specialist

Current

Turing

Oct 2025 - Present (1 year)

Conducted final editorial and technical reviews of AI-related tasks, evaluated AI outputs for language and model behavior, and assisted with pilot tasks and guideline refinement.

AI Evaluation Editorial Review Quality Assurance Guideline Interpretation Reviewer Calibration Model Behavior Analysis

Backend Developer

OpusTools

Jun 2025 - Oct 2025 (4 months)

Contributed to backend logic for AI-adjacent tools, documented system behavior and workflows, and applied structured problem-solving to resolve complex issues.

Backend Development Documentation Problem Solving Strategic Thinking

Data Analyst (Freelance)

Upwork

Jul 2024 - Oct 2025 (1 year 3 months)

Analyzed and validated structured datasets, delivered written reports, and reviewed client content for accuracy and logic, reducing client-reported issues by 20%.

Data Analysis SQL Python Technical Writer Editorial Review Validation Data Validation Reporting Documentation

Data Annotator / QA Expert

Appen

Jan 2024 - Sep 2025 (1 year 8 months)

Evaluated and annotated datasets for machine learning and AI model training, applying rubric-based evaluation and identifying inconsistencies, bias, and edge cases to improve dataset reliability by 15%.