Hillary O.

Key Skills

Software

Appen

AWS SageMaker

Google Cloud Vertex AI

Top Subject Matter

Multilingual speech transcription

speaker segmentation

and dataset quality evaluation for AI/LLM training

Top Data Types

Audio

Text

Document

Top Task Types

Transcription

Text Generation

RLHF

Fine-tuning

Evaluation/Rating

Computer Programming/Coding

Data Collection

Function Calling

Prompt + Response Writing (SFT)

Question Answering

Text Summarization

Segmentation

Classification

Freelancer Overview

AI Data Quality Reviewer & Evaluator at APPEN (Apr 2026 – Present). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen. Education includes Bachelor of Science, Taita Taveta University (2018) and Software Engineering Boot Camp, ALX-Africa (2023). AI-training focus includes data types such as Audio and labeling workflows including Transcription.

Labeling Experience

AI Data Quality Reviewer & Evaluator at APPEN (Apr 2026 – Present)

AppenAudioTranscription

Review and validate multilingual speech transcription and annotation datasets to support AI, NLP, and speech recognition systems. Perform quality assurance on speaker segmentation, timestamp alignment, and transcription accuracy across AI data pipelines. Support AI and LLM training workflows via structured data validation, quality analysis, and compliance with annotation standards.• Validate transcription content and alignment for multilingual speech datasets.• QA speaker segmentation and timestamp accuracy for annotation consistency.• Flag data inconsistencies and quality issues to improve model reliability and performance.• Ensure outputs meet defined annotation and compliance standards.

2026 - Present

Education

Work History