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Mabel Nwanze

Mabel Nwanze

Data Annotator / AI Quality Evaluator

NIGERIA flag
Lagos, Nigeria
$10.00/hrExpertOtherAppenClickworker

Key Skills

Software

Other
AppenAppen
ClickworkerClickworker

Top Subject Matter

Conversational AI/Natural Language Processing

Top Data Types

TextText
ImageImage
VideoVideo

Top Label Types

Bounding Box
Segmentation
Classification
Object Detection
Question Answering
Text Generation
Transcription
Evaluation Rating
Prompt Response Writing SFT
Data Collection

Freelancer Overview

Data Annotator / AI Quality Evaluator. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Enugu State University of Science and Technology (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

ExpertEnglish

Labeling Experience

Data Annotator / AI Quality Evaluator

OtherText
As a Data Annotator and AI Quality Evaluator, I analyzed and rated AI-generated text responses for accuracy and helpfulness. My work involved designing and assessing multi-turn prompts and performing side-by-side model output comparisons to ensure clarity and user relevance. I focused on grounding, personalization, and error identification within conversational AI systems. • Evaluated AI outputs for contextual appropriateness, factual grounding, and response quality. • Conducted SxS (side-by-side) model comparisons to rank outputs based on integration and clarity. • Designed prompts to test reasoning, memory, and user personalization. • Maintained rigorous documentation and high data integrity standards throughout the annotation process.

As a Data Annotator and AI Quality Evaluator, I analyzed and rated AI-generated text responses for accuracy and helpfulness. My work involved designing and assessing multi-turn prompts and performing side-by-side model output comparisons to ensure clarity and user relevance. I focused on grounding, personalization, and error identification within conversational AI systems. • Evaluated AI outputs for contextual appropriateness, factual grounding, and response quality. • Conducted SxS (side-by-side) model comparisons to rank outputs based on integration and clarity. • Designed prompts to test reasoning, memory, and user personalization. • Maintained rigorous documentation and high data integrity standards throughout the annotation process.

2023 - Present

Education

E

Enugu State University of Science and Technology

Bachelor of Science, Mass Communication

Bachelor of Science
2022 - 2022

Work History

V

Vant App

Product Design Intern

Lagos
2022 - Present
V

VistaPay

Founding Product Designer

Lagos
2023 - 2025