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Greg O.

Greg O.

Independent AI Training & Data Annotation Specialist((Remote) | Research • Prompt Evaluation • Quality Analysis

Nigeria flagLagos, Nigeria

Key Skills

Software

MindriftMindrift
OneFormaOneForma
RemotasksRemotasks
AppenAppen

Top Subject Matter

Data labelling
prompt engineering
AI training and safety-oriented quality assessment

Top Data Types

TextText
DocumentDocument

Top Task Types

Question AnsweringQuestion Answering

Freelancer Overview

Independent AI & Research Projects (Remote) — AI response evaluation and prompt comparison. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include ChatGPT. Education includes Bachelor of Laws (LL.B), Godfrey Okoye University (2023) and Barrister-at-Law (B.L.), Nigerian Law School (2026). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Question Answering.

Labeling Experience

Fintech Compliance Research Project — research summarization and structured inputs for AI evaluation

TextTextQuestion AnsweringQuestion Answering

Conducted independent research into fintech regulation, compliance, and governance systems to support AI output review and evaluation planning. Summarized AML/KYC trends and digital finance regulation into structured notes suitable for downstream analysis. Explored how AI tools may improve compliance monitoring and operational efficiency within governance and compliance workflows. • Researched AML/KYC and digital finance regulation • Summarized risks affecting emerging fintech platforms • Analyzed potential improvements from AI for compliance monitoring • Produced structured research notes for evaluation use

2024 - 2024

Independent AI & Research Projects (Remote) — AI response evaluation and prompt comparison

TextText

Evaluated AI-generated responses for clarity, logic, relevance, and factual consistency using structured self-directed review. Produced comparative assessment approaches by checking reasoning quality, coherence, bias risk, and instruction-following behavior across different outputs. Documented findings with written feedback and evaluation summaries for ongoing prompt and response comparison tasks. • Assessed response structure, coherence, and relevance • Checked factual consistency and reasoning quality • Evaluated bias risk and instruction-following • Wrote structured feedback and evaluation summaries

2023 - 2024

Education

N

N/A

MBA Interest Area, Business Analytics

MBA Interest Area
2026 - 2026
N

Nigerian Law School

Barrister-at-Law (B.L.), Law

Barrister-at-Law (B.L.)
2026 - 2026

Work History

S

Self-Directed

Independent Researcher (AI & Fintech Compliance)

Lagos
2023 - 2024
G

Geno Attorneys

Legal Intern / Research Assistant

Lagos
2023 - 2024