Olujimi F.

Key Skills

Software

Other

Top Subject Matter

Banking operations and client financial services (Energy/Oil & Gas)

Data Analysis

Energy/Oil & Gas credit risk and financial analytics

Top Data Types

Text

Document

Top Task Types

RLHF

Freelancer Overview

Account Officer — Energy / Oil & Gas Sector (GTBank) | AI-focused evaluation, reasoning review, and structured financial. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Relevant Coursework, N/A (2020) and Google Data Analytics Certificate, Coursera / Google. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Account Officer — Energy / Oil & Gas Sector (GTBank) | AI-focused evaluation, reasoning review, and structured financial data quality support

OtherText

Served as a Finance & Banking domain expert in the Energy/Oil & Gas sector, performing accuracy assessments of credit proposals, financial models, and market evaluation analyses for correctness. Reviewed financial reasoning and identified reasoning errors to ensure high-quality structured outputs suitable for AI training and LLM evaluation workflows. Applied domain knowledge to improve prompt/response quality by validating that the underlying financial data interpretations were consistent and reliable for downstream annotation tasks. • Evaluated analytical accuracy of credit and market evaluation outputs • Audited financial model reasoning and flagged errors • Interfaced with decision-makers to confirm data/story correctness • Supported creation of structured, model-ready financial data

2021 - Present

Marketing Operations & Client Services | Structured financial reasoning and data verification supporting AI training-quality workflows

OtherText

Performed high-volume verification and quality checks on financial transactions, emphasizing structured reasoning, attention to detail, and accuracy. Resolved complex client financial queries requiring clear, reasoned explanations, contributing to reliable structured outputs that could support AI/data-annotation training contexts. Reinforced data quality practices important for financial data annotation and AI evaluation by ensuring consistency of interpreted transaction details. • Processed and verified high-volume financial transactions • Ensured accuracy through structured verification workflows • Provided reasoning-based responses to complex client queries • Maintained high attention to detail for reliable data interpretation

2020 - 2021

Education

Work History