Victor C.

Key Skills

Software

iMerit

Top Subject Matter

AI Prompt Engineering & Model Evaluation

AI Prompt Engineering & Evaluation Projects

Top Data Types

Text

Image

Top Task Types

Prompt + Response Writing (SFT)

Evaluation/Rating

Object Detection

Freelancer Overview

AI Data Annotation Specialist (Freelance). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include iMerit, N, and A. Education includes Bachelor of Science, University of Jos (2022) and Bachelor of Medicine, Bachelor of Surgery, University of Jos (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

AI Data Annotation Specialist (Freelance)

iMeritText

As an AI Data Annotation Specialist for iMerit Technologies Pvt Ltd, I evaluated and annotated AI-generated text responses. My main tasks involved assessing outputs for clarity, logical consistency, factual accuracy, and contextual relevance. I systematically applied prompt engineering and iterative techniques to improve response quality. • Evaluated a variety of AI educational and analytical prompts • Annotated model outputs for accuracy and relevance • Utilized specialized workflow tools to optimize review processes • Collaborated within a sprint structure to meet project deadlines

2026 - 2026

AI Prompt Engineering & Evaluation Projects

TextPrompt + Response Writing (SFT)

Designed and tested structured prompts to improve AI-generated responses for educational and analytical tasks. Evaluated AI outputs to ensure clarity, logical accuracy, and contextual relevance. Applied prompt engineering best practices and iterative strategies across multiple research and workflow scenarios. • Authored, refined, and tested AI prompts to guide model behavior • Assessed output quality against set criteria • Supported workflow optimization through prompt iterations • Enhanced response reliability by analyzing model feedback

Not specified

Education

Work History