Oluwabunmi A.

Key Skills

Software

Remotasks

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Video

Image

Top Task Types

Transcription

Text Generation

Evaluation/Rating

Freelancer Overview

OUTLIER AI - WORK EXPERIENCE SUMMARY Name: Adedotun Oluwabunmi Boluwatife Role: AI Data Contributor / Remote Contractor (or specify your role) Company: Outlier AI Duration: [April 6th - June 2nd] ------------------------------------------------------------ OVERVIEW ------------------------------------------------------------ Write a short summary of your overall experience working with Outlier AI here. Example: Contributed to AI training tasks, data evaluation, and quality assurance workflows. ------------------------------------------------------------ KEY RESPONSIBILITIES ------------------------------------------------------------ - Completed AI training and evaluation tasks - Reviewed and labeled data for machine learning models - Followed detailed task guidelines and quality standards - Ensured accuracy and consistency in outputs - Managed time effectively to meet task deadlines ------------------------------------------------------------ SKILLS DEVELOPED ------------------------------------------------------------ - Attention to detail - Data annotation and evaluation - Critical thinking and quality control - Remote work discipline - Familiarity with AI training workflows ------------------------------------------------------------ TOOLS USED ------------------------------------------------------------ - Outlier AI platform - Web-based annotation tools - Communication and task instruction dashboards ------------------------------------------------------------ ACHIEVEMENTS (Opt

Labeling Experience

AI Training specialist - Audio Evaluation & Transcription Audit

AudioTranscription

Evaluated and audited high-volume audio data and automated transcription to train and optimize advanced AI voice models. Conducted rigorous quality assessments on acoustic clarity, phonetic assessment on alignment. Audio machine generated text against complex audio streams to ensure high fidelity semantic representation, identifying and correcting subtle discrepancies in linguistic context, tone and formatting

2026 - Present

Education