Emmanuel Festus
@emmanuelfestus
I specialize in AI data annotation and LLM evaluation, improving response quality through rigorous, evidence-based reviews.
NigeriaWhat I'm looking for
I’m a Computer Science graduate focused on human evaluation that makes AI outputs more accurate, relevant, and instruction-following. I enjoy turning careful analysis into clear, evidence-based decisions that teams can trust.
In my contract/freelance work as an AI Data Annotation & LLM Evaluation Specialist (2024–Present), I contribute to AI data annotation and model evaluation projects using platforms including Welocalize, RWS, Appen, and OneForma. I evaluate AI-generated responses for accuracy, relevance, helpfulness, and adherence to instructions.
I routinely run Side-by-Side (SxS) comparisons and document evaluation decisions using established guidelines. I review multi-turn conversations to assess contextual understanding, and I identify hallucinations, unsupported claims, factual inconsistencies, and reasoning errors—then provide structured written rationales to support outcomes.
I maintain high quality while working independently in remote environments, with strong attention to detail and analytical thinking. My goal is to improve AI systems through consistent quality assurance and content review, including hallucination & grounding verification and prompt assessment.
Experience
Work history, roles, and key accomplishments
Contributed to AI data annotation and LLM evaluation projects by assessing AI-generated responses for accuracy, relevance, helpfulness, and instruction adherence. Performed side-by-side comparisons, reviewed multi-turn conversations, and documented evidence-based feedback.
Contributed to AI data annotation and LLM evaluation projects by assessing AI-generated responses for accuracy, relevance, helpfulness, and instruction adherence. Performed side-by-side comparisons, reviewed multi-turn conversations, and documented evidence-based feedback.
AI Data Annotation & LLM Eval
OneForma
Jan 2024 - Present (2 years 6 months)
Contributed to AI data annotation and LLM evaluation projects by assessing AI-generated responses for accuracy, relevance, helpfulness, and instruction adherence. Performed side-by-side comparisons, reviewed multi-turn conversations, and documented evidence-based feedback.
Contributed to AI data annotation and LLM evaluation projects by assessing AI-generated responses for accuracy, relevance, helpfulness, and instruction adherence. Performed side-by-side comparisons, reviewed multi-turn conversations, and documented evidence-based feedback.
Education
Degrees, certifications, and relevant coursework
University of Calabar
Bachelor of Science (B.Sc.), Computer Science
2022 -
Earned a Bachelor of Science (B.Sc.) in Computer Science from the University of Calabar in 2022.
Tech stack
Software and tools used professionally
Availability
Location
NigeriaAuthorized to work in
Job categories
Skills
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