Open to opportunities

Victoria John

@victoriajohn1

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AI data evaluation and video annotation specialist improving model outputs with precise quality checks.

Nigeria

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What I'm looking for

I’m looking for roles in AI evaluation and annotation where accuracy, guideline adherence, and fast, high-volume quality work matter. I want to work in hybrid human–AI workflows, refine outputs, and improve datasets with clear feedback and standards.

I’m an AI Data Evaluation & Video Annotation Specialist, focused on supporting AI training workflows through data annotation, content review, and quality evaluation. I review and correct model-generated outputs with strong attention to detail, ensuring accuracy in timestamps, labeling, and structured data.

In recent work, I’ve served as an LLM Evaluation reviewer for high-volume tasks—identifying errors, inconsistencies, and edge cases while refining structured responses for clarity and guideline compliance. I also provided structured feedback to improve output quality and workflow efficiency.

Before that, I built expertise as an AI Data Rater and Data Annotator across multiple platforms, applying detailed labeling standards and performing dataset quality checks for consistency and accuracy. I also bring disciplined data-entry and record-keeping habits from earlier administrative support work.

Experience

Work history, roles, and key accomplishments

AI Content Reviewer (LLM Eval)

TELUS International

Jan 2024 - Jan 2025 (1 year)

Reviewed and corrected AI-generated LLM outputs to ensure accuracy, clarity, and guideline compliance. Identified errors and edge cases, refined structured responses, and provided feedback to improve output quality and workflow efficiency.

LLM Evaluation Data Quality Assurance Feedback

AI Data Rater (Content Eval)

OneForma

Jan 2022 - Jan 2023 (1 year)

Evaluated and corrected structured data outputs for accuracy, labeling, and classification consistency. Performed dataset quality checks and improved annotation consistency while following detailed guidelines.

Data Labeling Data Quality Attention To Detail

AI Training Data Annotator

Scale AI

Jan 2021 - Jan 2022 (1 year)

Annotated and refined AI-generated NLP training data using structured guidelines and required formats. Maintained high accuracy across large datasets and corrected inconsistencies and errors in model outputs.

NLP Data Annotation Refining AI Outputs

Data Annotator (Search & Content)

Appen

Jan 2018 - Jan 2020 (2 years)

Reviewed and labeled structured search and content data based on defined criteria. Ensured relevance, accuracy, and consistency, and corrected low-quality items and classification issues within high-volume annotation workflows.

Search & Content Labeling Relevance Quality Assurance High Volume Annotation Attention To Detail

Office Assistant

Anchor University

Maintained accurate records and ensured data consistency across systems through data entry and document updates. Supported structured administrative workflows requiring accuracy, organization, and reliable documentation for easy retrieval.

Data Entry Records Management Administrative Support Microsoft Office Suite Attention To Detail