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Grace O.

Grace O.

AI Data Annotator & Content Evaluation Specialist

Kenya flagNairobi, Kenya

Key Skills

Software

No software listed

Top Subject Matter

Analytical Text Evaluation & Fact-Checking.

Top Data Types

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Top Task Types

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Freelancer Overview

As a behavioral science professional, my experience centers on high-level data verification, structural text evaluation, and objective analysis. During my tenure at the Jomo Kenyatta Foundation, I actively conducted criteria-based vetting by auditing complex applicant profiles against strict institutional guidelines to eliminate bias and ensure absolute compliance. This required extensive cross-referencing and rigorous fact-checking of real-world data points to verify the accuracy of submitted information, a process that directly mirrors the core demands of AI truthfulness and hallucination mitigation. Furthermore, my clinical internship background at Chiromo Hospital Group and Gertrude’s Children’s Hospital sharpened my ability to analyze human language nuances and cognitive patterns. I regularized complex behavioral metrics into objective, data-driven technical reports and translated dense psychological data into clear, universally accessible text. This extensive background in tracking logical consistency, following multi-layered instruction sets, and writing unbiased evaluations provides me with the precise analytical framework needed to accurately train, rank, and optimize advanced AI language models.

Labeling Experience

While my primary background is in behavioral science and data verification, my core skill set directly maps to high-leve

While my primary background is in behavioral science and data verification, my core skill set directly maps to high-level AI data labeling and annotation. In my previous roles, I have systematically audited qualitative text data against strict institutional guidelines, cross-referenced complex data points to eliminate errors, and analyzed human language patterns for logical consistency. I excel at maintaining absolute objectivity, stripping out personal bias, and following granular instruction sets to ensure data integrity.

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Education

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Degree not specified

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Work History

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Company not specified

Company: Jomo Kenyatta Foundation, Data Auditing: Evaluated and audited high volumes of qualitative user data against co

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