Mmerichukwu O.

Key Skills

Software

Don't disclose

Top Subject Matter

AI-generated text quality assurance and evaluation

Audio transcription review and labeling QA

Structured data quality assurance and validation

Top Data Types

Text

Audio

Document

Top Task Types

Transcription

Classification

Freelancer Overview

AI Data Evaluator (Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Science, Nnamdi Azikiwe University and N/A, Nnamdi Azikiwe University Teaching Hospital (NAUTH). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

AI Data Evaluator (Structured Data QA)

Don't discloseTextClassification

Verified structured dataset entries for completeness and consistency as part of AI data evaluation work. Checked that structured outputs followed required formatting and dataset rules to support reliable model training. Used guideline-based evaluation methods to validate structured responses and ensure quality. • Validated structured data completeness and consistency • Checked output formatting and dataset rules • Performed guideline-based reviews for structured responses • Logged and addressed issues that impacted training-data quality

2024 - Present

AI Data Evaluator (Audio QA)

Don't discloseAudioTranscription

Reviewed transcription outputs as part of audio annotation QA workflows to ensure labeling consistency and correctness. Corrected labeling inconsistencies found in transcription data and applied quality-control standards across repetitive tasks. Verified that audio-derived outputs met completeness and guideline expectations for downstream use. • Audited transcriptions for accuracy and consistency • Corrected labeling inconsistencies in transcription outputs • Applied guideline-based QA to audio-derived data • Maintained confidentiality while handling audio datasets

2024 - Present

AI Data Evaluator (Remote)

Don't discloseText

Evaluated AI-generated text responses for correctness, coherence, formatting, and guideline compliance across high-volume remote projects. Performed comparative ranking and review to identify issues affecting dataset quality and consistency. Reviewed and validated annotation outputs, including detecting inconsistencies and formatting problems to improve training data reliability. • Assessed instruction adherence and response accuracy • Conducted comparative response ranking and quality checks • Identified inconsistencies, grammar/coherence issues, and formatting errors • Ensured timely completion while adapting to evolving project guidelines

2024 - Present

Education

Work History