Oloruntobi Oyekunle

Key Skills

Software

Scale AI

Appen

Top Subject Matter

Speech Recognition

Chatbots/nlp Domain Expertise

Legal Services & Contract Review

Top Data Types

Audio

Text

Document

Top Task Types

Classification

Freelancer Overview

AI Speech Evaluation & Error Annotation Specialist. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI and Appen. Education includes Diploma in Data Analytics, City of Dublin ETB (2024). AI-training focus includes data types such as Audio and Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Speech Evaluation & Error Annotation Specialist

Scale AIAudio

As an AI Speech Evaluation & Error Annotation Specialist, I evaluated and annotated speech recordings for defects to support AI model improvement. This required a two-stage review process to identify and systematically categorize a range of audio issues per established guidelines. Additionally, I conducted detailed quality assessments and maintained feedback cycles to refine annotation precision. • Identified and labeled stuttering, skipped and repeated words, mispronunciations, and audio artifacts. • Compared speech samples against reference text to detect mismatches and delivery errors. • Applied standardized taxonomies and ensured precision in defect categorization. • Provided comprehensive comments to improve model performance and adhered to iterative feedback guidelines.

As an AI Speech Evaluation & Error Annotation Specialist, I evaluated and annotated speech recordings for defects to support AI model improvement. This required a two-stage review process to identify and systematically categorize a range of audio issues per established guidelines. Additionally, I conducted detailed quality assessments and maintained feedback cycles to refine annotation precision. • Identified and labeled stuttering, skipped and repeated words, mispronunciations, and audio artifacts. • Compared speech samples against reference text to detect mismatches and delivery errors. • Applied standardized taxonomies and ensured precision in defect categorization. • Provided comprehensive comments to improve model performance and adhered to iterative feedback guidelines.

2024 - 2025

AI Speech Quality Evaluator (MOS Rating Project)

AppenAudio

As an AI Speech Quality Evaluator for the MOS Rating Project, I systematically rated and analyzed speech audio for clarity, sound quality, and naturalness. Using a structured scoring scale, I maintained objectivity while adhering to strict project guidelines. My evaluations supported consistent and unbiased data for AI speech models. • Assessed intelligibility, detecting mumbling, unclear articulation, and pronunciation inconsistencies. • Reviewed files for background noise, static, and cleanliness of audio recordings. • Rated naturalness, flagging robotic tone and unnatural pauses. • Maintained quality control in accordance with project standards and guidelines.

As an AI Speech Quality Evaluator for the MOS Rating Project, I systematically rated and analyzed speech audio for clarity, sound quality, and naturalness. Using a structured scoring scale, I maintained objectivity while adhering to strict project guidelines. My evaluations supported consistent and unbiased data for AI speech models. • Assessed intelligibility, detecting mumbling, unclear articulation, and pronunciation inconsistencies. • Reviewed files for background noise, static, and cleanliness of audio recordings. • Rated naturalness, flagging robotic tone and unnatural pauses. • Maintained quality control in accordance with project standards and guidelines.

2023 - 2023

AI Data Annotator & Prompt Evaluator

Scale AITextClassification

During my tenure as an AI Data Annotator & Prompt Evaluator, I was responsible for categorizing user-generated prompts and performing content safety analyses. The role involved applying predefined taxonomies and strict quality standards to ensure dataset suitability for chatbot model training. Continuous attention to detail and adherence to guideline-driven workflows was essential. • Classified prompts for safety, policy violations, and contextual completeness. • Identified and flagged PII and non-compliant content per company standards. • Upheld annotation accuracy and followed comprehensive quality protocols. • Evaluated eligibility of prompts and contributed to prompt safety for training inclusion.

During my tenure as an AI Data Annotator & Prompt Evaluator, I was responsible for categorizing user-generated prompts and performing content safety analyses. The role involved applying predefined taxonomies and strict quality standards to ensure dataset suitability for chatbot model training. Continuous attention to detail and adherence to guideline-driven workflows was essential. • Classified prompts for safety, policy violations, and contextual completeness. • Identified and flagged PII and non-compliant content per company standards. • Upheld annotation accuracy and followed comprehensive quality protocols. • Evaluated eligibility of prompts and contributed to prompt safety for training inclusion.

2022 - 2022

Education

Work History