Nigerian Law School, PH Campus
Barrister at Law, Law
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I am a qualified legal practitioner (BL, LLB) and Accredited Mediator with over two years of experience in high-volume document review, critical argument analysis, and structured written feedback — work that has trained me to read carefully, apply guidelines consistently, and document what I find with precision. Though my titles have been legal rather than AI-specific, the core skills are directly transferable: in law firms and legal clinics, I reviewed affidavits, pleadings, and contracts for logical consistency and factual accuracy, flagged errors before sign-off, and translated complex material into clear, accessible language for non-specialist audiences. In moot court, I regularly evaluated arguments from both sides of contested issues — identifying weak reasoning, missing evidence, and conclusions that were assumed rather than earned — which maps closely to the kind of LLM response evaluation and RLHF work platforms like those on OpenTrain are looking for. What I believe sets me apart is the combination of qualifications I bring alongside that experience. I hold an NBA-ICLE Data Protection certification covering data classification and digital content governance, and my mediation accreditation has sharpened my ability to assess situations impartially and apply consistent frameworks under ambiguity. I am a native English speaker, comfortable writing across registers — from precise legal rationales to clear, conversational summaries — which makes me versatile across text annotation, content evaluation, and AI response rating tasks. I am also an advanced user of Claude, ChatGPT, Gemini, and Poe, and have hands-on experience comparing outputs across models and assessing response quality, which means I already understand what good AI responses look like from the inside.
David O. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Barrister at Law, Law
Bachelor of Laws, Law
Legal Extern
HR and Graduate Intern