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Japhet Sini

Japhet Sini

AI Data Trainer - Microbiology and AI Model Evaluation

NIGERIA flag
Jos, Nigeria
$10.00/hrExpertOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio

Top Label Types

Audio Recording

Freelancer Overview

I am an experienced AI data trainer with a strong background in data annotation, AI response evaluation, and prompt engineering. My work includes labeling text, image, and audio datasets for NLP and computer vision tasks, such as sentiment analysis, intent classification, bounding box annotation, and scientific content validation—particularly in the biomedical domain. I have hands-on experience evaluating and ranking AI-generated responses using RLHF principles, optimizing prompts for large language models, and conducting rigorous fact-checking to identify and address hallucinations. My approach is detail-oriented and analytical, with a focus on guideline compliance and quality assurance. I am proficient with annotation platforms, structured rating frameworks, and data tracking tools like Google Sheets, and I am passionate about improving AI performance through structured feedback and high-quality training data.

ExpertEnglish

Labeling Experience

Speech-to-Text Audio Annotation & Quality Evaluation

OtherAudioAudio Recording
Audio annotation and speech recognition evaluation project involving transcription, accuracy validation, and AI voice model assessment. Responsible for reviewing recorded audio samples, converting speech to text, and ensuring alignment with established transcription guidelines. Performed quality checks on pronunciation, clarity, background noise levels, and speaker consistency. Evaluated AI-generated speech outputs for intelligibility and correctness, providing structured feedback to improve model performance. Maintained high accuracy and adherence to annotation standards across large audio datasets.

Audio annotation and speech recognition evaluation project involving transcription, accuracy validation, and AI voice model assessment. Responsible for reviewing recorded audio samples, converting speech to text, and ensuring alignment with established transcription guidelines. Performed quality checks on pronunciation, clarity, background noise levels, and speaker consistency. Evaluated AI-generated speech outputs for intelligibility and correctness, providing structured feedback to improve model performance. Maintained high accuracy and adherence to annotation standards across large audio datasets.

2022 - 2025

Education

A

ADSU

Bsc Microbiology , MCB

Bsc Microbiology
2018 - 2022

Work History

A

ADSU Tech

Computer Operator

Mubi
2023 - 2025