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Eze Nnamdi

Eze Nnamdi

Freelance Content & Technical Writer - AI Training

NIGERIA flag
Enugu, Nigeria
$30.00/hrIntermediateMercor

Key Skills

Software

MercorMercor

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
TextText

Top Label Types

Audio Recording
RLHF
Evaluation Rating
Prompt Response Writing SFT

Freelancer Overview

I am a detail-oriented content professional and tech-savvy freelancer with hands-on experience in data labeling and AI training data tasks. My background includes executing structured digital assignments that require precise judgment and strict adherence to guidelines, making me adept at maintaining consistency across large datasets. I am skilled in following detailed instructions for both written and audio-based projects, ensuring that outputs meet high standards for clarity, tone, and formatting. My technical familiarity includes basic audio setup, file labeling, and managing digital files using Google Drive and Microsoft Office tools. I thrive in remote, deadline-driven environments, consistently delivering quality results and collaborating effectively with distributed teams.

IntermediateEnglish

Labeling Experience

Mercor

AI Content Evaluation & Prompt-Response Specialist

MercorTextRLHFEvaluation Rating
Evaluated and rated AI-generated responses for accuracy, coherence, contextual relevance, tone, and safety compliance. Compared multiple model outputs and selected higher-quality responses based on structured evaluation rubrics. Performed supervised fine-tuning (SFT) tasks by crafting high-quality prompt-response pairs aligned with project guidelines. Improved response clarity, logical structure, and factual reliability while maintaining natural language flow. Applied Reinforcement Learning from Human Feedback (RLHF) principles by identifying subtle quality differences between outputs and providing consistent, guideline-based judgments across diverse content types. Maintained high annotation consistency across large task batches while adhering strictly to formatting, style, and evaluation standards.

Evaluated and rated AI-generated responses for accuracy, coherence, contextual relevance, tone, and safety compliance. Compared multiple model outputs and selected higher-quality responses based on structured evaluation rubrics. Performed supervised fine-tuning (SFT) tasks by crafting high-quality prompt-response pairs aligned with project guidelines. Improved response clarity, logical structure, and factual reliability while maintaining natural language flow. Applied Reinforcement Learning from Human Feedback (RLHF) principles by identifying subtle quality differences between outputs and providing consistent, guideline-based judgments across diverse content types. Maintained high annotation consistency across large task batches while adhering strictly to formatting, style, and evaluation standards.

2025 - 2025
Mercor

AI Speech Data Collection & Audio Recording Specialist

MercorAudioAudio Recording
Recorded high-quality scripted speech samples for AI model training and evaluation. Followed strict pronunciation, tone, pacing, and clarity guidelines to ensure consistent and natural delivery across multiple scenarios. Performed structured audio recording tasks including scenario-based speech delivery, controlled tonal variation, and articulation precision. Ensured recordings met environmental quality standards (minimal background noise, proper microphone positioning, consistent volume levels). Applied quality control measures such as self-review before submission, adherence to naming conventions, and compliance with project-specific formatting and submission protocols. Maintained consistency across repeated recording sessions to support model training reliability.

Recorded high-quality scripted speech samples for AI model training and evaluation. Followed strict pronunciation, tone, pacing, and clarity guidelines to ensure consistent and natural delivery across multiple scenarios. Performed structured audio recording tasks including scenario-based speech delivery, controlled tonal variation, and articulation precision. Ensured recordings met environmental quality standards (minimal background noise, proper microphone positioning, consistent volume levels). Applied quality control measures such as self-review before submission, adherence to naming conventions, and compliance with project-specific formatting and submission protocols. Maintained consistency across repeated recording sessions to support model training reliability.

2025 - 2025

Education

E

Enugu State University of Science and Technology (ESUT)

Bachelor of Science (B.Sc.) in Computer Science, Computer Science

Bachelor of Science (B.Sc.) in Computer Science
2009 - 2013

Work History

S

Self-Employed (Freelance Technology & Automation Services)

Python Automation Developer

Enugu
2024 - Present
F

Freelance

Content and Technical Writer

Enugu
2023 - Present