Ollie Jacobs

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Freelancer Overview

I bring a strong background in content creation, research, and data-driven writing, supported by a degree in computer science. My experience involves producing and editing high-quality, well-researched content for technology, business, and lifestyle domains, with a keen focus on accuracy, fact-checking, and adapting to different requirements. I am skilled in analyzing large sets of information, ensuring clarity and consistency, and leveraging tools like WordPress and Google Analytics to manage and optimize data. My attention to detail, familiarity with SEO and keyword optimization, and ability to follow structured guidelines make me well-suited for data labeling, annotation, and AI training data roles, especially in areas related to natural language processing and digital content.

Labeling Experience

AI Agent Assistant / Evaluation & Annotation Contributor (Freelance)

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Collaborated with large language models (LLMs) to perform data annotation, prompt evaluation, and output analysis in freelance remote projects. Refined and rated AI-generated outputs for clarity, accuracy, and usability, ensuring alignment with project guidelines. Conducted web-based fact-checking, prompt testing, and ambiguity resolution as part of systematic LLM evaluation workflows. • Carried out annotation and evaluation tasks using AI evaluation and annotation platforms • Reviewed and improved prompts to enhance LLM performance • Identified model errors, hallucinations, and usability edge cases • Maintained high-quality standards and adhered to complex task specifications

Collaborated with large language models (LLMs) to perform data annotation, prompt evaluation, and output analysis in freelance remote projects. Refined and rated AI-generated outputs for clarity, accuracy, and usability, ensuring alignment with project guidelines. Conducted web-based fact-checking, prompt testing, and ambiguity resolution as part of systematic LLM evaluation workflows. • Carried out annotation and evaluation tasks using AI evaluation and annotation platforms • Reviewed and improved prompts to enhance LLM performance • Identified model errors, hallucinations, and usability edge cases • Maintained high-quality standards and adhered to complex task specifications

2023

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