Ransom B.

Key Skills

Software

Other

Top Subject Matter

STEM education and instructional content

Engineering operations data collection and reporting

Mathematics (STEM education)

Top Data Types

Text

Top Task Types

Text Generation

Data Collection

Classification

RLHF

Tracking

Entity (NER) Classification

Freelancer Overview

EdTech Trainer — Edify Visual Learning Platform (Peer & Community Capacity Building). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, Delta State University, Abraka (2025) and Certification, Data Lense (2026). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

AI Automation & Data Analysis Certificate — TS Academy

Completed an AI automation and data analysis certificate program with practical Python-based workflow automation projects. The training emphasized building systems that process inputs, analyze data, and automate routing/classification logic—foundational skills for data pipeline creation for AI training sets. Projects included real-world automation systems that classify and route information for downstream reporting. • Used Python for data analysis and automation workflows • Built projects including WhatsApp finance tracking and classification • Implemented workflow automation via n8n-style routing concepts • Strengthened skills for building AI-adjacent data systems

2025 - Present

Essentials of Data Labeling & Annotation for AI Development — Data Lense (Certificate Pending)

OtherTextRLHF

Participates in certification training for AI development with a focus on data labeling and annotation standards. Coursework covers annotation workflows, quality control principles, and best practices for labeling text and structured STEM-related data. The training directly supports future RLHF evaluation, preference ranking, and annotation quality review tasks. • Learned annotation standards and labeling workflows • Practiced quality control and labeling fundamentals • Worked with text and structured data annotation best practices • Prepared for AI training data and RLHF-oriented evaluation

2025 - Present

Essentials of Data Labeling & Annotation for AI Development

TextClassificationTracking

No description provided.

2025 - 2026

Industrial Training Intern — Transmission Company of Nigeria (data collection with structured reporting)

TextData Collection

Managed real-time data collection and produced structured reporting using Excel-based tracking for transmission system operations. Although domain is engineering rather than AI labeling, the role developed disciplined documentation and quality control practices that directly support annotation QA workflows. The emphasis was on consistent data capture, review, and structured output. • Collected operational data in real time • Maintained Excel-based structured tracking • Produced technical reporting with QC habits • Built documentation discipline applicable to annotation QA

2024 - 2024

EdTech Trainer — Edify Visual Learning Platform (Peer & Community Capacity Building)

OtherText

Trained teachers and supported ongoing instructional follow-up in a digital learning environment, reinforcing structured assessment and feedback practices relevant to AI training workflows. Delivered teacher capacity-building and adapted materials based on learners’ technical comfort levels. This experience strengthens the ability to provide consistent labeling guidance and quality feedback in annotation settings. • Trained 10–12 teachers on a digital learning platform • Adapted instruction to varying technical proficiency • Provided ongoing support for continued performance improvement • Translated training outcomes into structured assessment practices

2023 - 2024

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Education

Work History