Nriezedi C.

Key Skills

Software

Mercor

Other

Top Subject Matter

Medical and educational reasoning evaluation

Postgraduate medical education (Haematology)

Clinical reasoning evaluation and healthcare analytics

Top Data Types

Text

Document

Image

Top Task Types

Prompt + Response Writing (SFT)

Question Answering

Fine-tuning

Freelancer Overview

AI & Evaluation Experience: AI evaluation and educational scenario assessment tasks (Mercor, Terac). Brings 10+ years of professional experience across medicine, post graduate tutor, resaercher, public health, compliance, and structured analysis. Core strengths include Mercor, Terac, and N. Education includes Doctor of Medicine, National Postgraduate Medical College of Nigeria (2024) and Doctor of Philosophy, Chukwuemeka Odumegwu Ojukwu University (2023). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Tutor — MSc Haematology Programme (Learna)

TextPrompt + Response Writing (SFT)

Acted as a tutor and assessor for MSc Haematology educational content by evaluating postgraduate discussions, reflective assignments, and clinical reasoning exercises. Provided structured written feedback and quality review to support educational learning and instructional improvement relevant to AI tutoring workflows. Performed quality assurance checks on student submissions focused on accuracy, critical thinking, and evidence interpretation. • Evaluated reflective and reasoning-based educational outputs. • Assessed factual accuracy and quality of evidence interpretation. • Delivered structured feedback and quality review comments. • Supported academic quality assurance for postgraduate healthcare education.

2024 - Present

AI & Evaluation Experience: AI evaluation and educational scenario assessment tasks (Mercor, Terac)

MercorText

Served as an AI and educational scenario evaluator by reviewing AI-generated medical and educational responses for clarity, factual consistency, and contextual appropriateness. Applied expert judgment to structured reasoning and domain-specific review tasks, supporting quality assessment of model outputs. Performed evaluation-style feedback consistent with human feedback workflows used for AI training and tutoring. • Reviewed responses for reasoning quality and evidence alignment. • Assessed educational scenario outputs for scientific accuracy and relevance. • Provided structured expert feedback for prompt/response evaluation. • Participated in AI evaluation ecosystems for medical/educational tasks.

2024 - Present

Associate Professor of Paediatrics & Honorary Consultant Paediatrician (clinical reasoning and scenario evaluation)

Evaluated clinical reasoning and evidence-based decision-making among medical trainees by reviewing complex medical cases and educational scenarios. Conducted healthcare data analysis using Python to support structured interpretation and assessment practices. Produced detailed academic feedback and structured evaluations aligned with quality assurance and expert judgment approaches relevant to AI training review. • Assessed analytical interpretation and evidence-based decision-making. • Reviewed complex medical cases and educational scenarios. • Generated structured expert feedback for learners and researchers. • Used Python/statistical tools for healthcare analytics informing evaluations.

2020 - Present

Education

Work History