Meemee Udoh

Key Skills

Software

Telus

Top Subject Matter

Healthcare Data & Medical Documentation

Clinical Medicine

Medical AI

Top Data Types

Text

Top Task Types

No task types listed

Freelancer Overview

Data Annotator (LLM Evaluation) — TELUS Digital. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus. Education includes Master of Public Health, University of Sheffield (2021) and Bachelor of Medicine, Bachelor of Surgery, University of Uyo (2018). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Prompt Evaluator

TextEvaluation Rating

As a reviewer, I compare two to three AI-generated responses to a user prompt and select the best response overall. This decision is made by considering the factuality, truthfulness, helpfulness, concision and harmfulness of the AI-generated responses, and the user's locale.

As a reviewer, I compare two to three AI-generated responses to a user prompt and select the best response overall. This decision is made by considering the factuality, truthfulness, helpfulness, concision and harmfulness of the AI-generated responses, and the user's locale.

2025 - Present

Data Annotator - Outlier

ImageBounding Box

In this project, high resolution images with different components of a computer hardware, screenshots of user interfaces of several applications etc. were gotten from surfing the internet, uploaded, and bounding boxes were drawn as stated in the instruction.

In this project, high resolution images with different components of a computer hardware, screenshots of user interfaces of several applications etc. were gotten from surfing the internet, uploaded, and bounding boxes were drawn as stated in the instruction.

2025 - Present

Data Annotator (LLM Evaluation) — TELUS Digital

TelusTextRLHF

As a Data Annotator (LLM Evaluation) at TELUS Digital, I evaluated AI model outputs for accuracy, communication clarity, and clinical safety across text-based and multimodal tasks. I applied structured rubrics to label errors and conducted systematic quality assurance of annotations, including reconciliation of discrepancies. I also documented annotation decision logs and collaborated with global teams to meet productivity and quality thresholds. • Evaluated and labeled AI-generated clinical content for factual correctness, reasoning completeness, and safety risks. • Flagged and categorized clinical safety issues such as dosing errors, contraindications, and misinterpretation of labs or imaging. • Applied rubrics for classification, safety, factuality, ambiguity, and tone during annotation of AI outputs. • Collaborated in high-throughput, precision-focused environments, maintaining detailed audit trails and supporting inter-rater reliability.

As a Data Annotator (LLM Evaluation) at TELUS Digital, I evaluated AI model outputs for accuracy, communication clarity, and clinical safety across text-based and multimodal tasks. I applied structured rubrics to label errors and conducted systematic quality assurance of annotations, including reconciliation of discrepancies. I also documented annotation decision logs and collaborated with global teams to meet productivity and quality thresholds. • Evaluated and labeled AI-generated clinical content for factual correctness, reasoning completeness, and safety risks. • Flagged and categorized clinical safety issues such as dosing errors, contraindications, and misinterpretation of labs or imaging. • Applied rubrics for classification, safety, factuality, ambiguity, and tone during annotation of AI outputs. • Collaborated in high-throughput, precision-focused environments, maintaining detailed audit trails and supporting inter-rater reliability.

2025 - Present

Education

Work History