Brenda O.

Key Skills

Software

No software listed

Top Subject Matter

Speech science

Linguistics Domain Expertise

Acoustic data annotation for machine learning

Top Data Types

Medical Dicom

Image

Document

Top Task Types

Transcription

Diagnosis

Segmentation

Question Answering

Data Collection

Fine-tuning

Polygon

Classification

Polyline

Text Summarization

Freelancer Overview

Linguistic & AI Annotation Specialist — Multimedia University of Kenya. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Praat Software. Education includes Bachelor of Arts, University of Eldoret (2021) and Bachelor of Science, Masinde Muliro University of Science and Technology (2020). AI-training focus includes data types such as Audio, Medical, and DICOM and labeling workflows including Transcription, Diagnosis, and Segmentation.

Labeling Experience

Linguistic and AI Annotation Specialist - Multimedia University of Kenya

AudioSegmentation

You worked as a Linguistic and AI Annotation Specialist, focusing on creating high-quality speech datasets and supporting machine learning research workflows. You performed precise transcription, speech segmentation, and acoustic analysis to ensure reliable training inputs. The role required strong expertise in speech science, data quality assurance, and cross-team communication with technical stakeholders. • Conducted verbatim transcription of unscripted conversational audio • Used Praat for speech segmentation and phonetic boundary validation • Analyzed acoustic/prosodic cues and speech disfluencies to assess data quality • Collaborated with technical teams to improve data ingestion guidelines and annotation accuracy

2022 - 2025

Linguistic & AI Annotation Specialist — Multimedia University of Kenya

AudioTranscription

Produced high-accuracy verbatim transcripts from unscripted conversational audio to build datasets for AI model training. Performed granular speech segmentation and validated phonetic boundaries to ensure consistent annotation quality. Analyzed acoustic and linguistic characteristics to improve dataset suitability for machine learning applications. • Generated labeled transcription datasets from conversational recordings • Used Praat to segment speech and verify phonetic boundaries • Reviewed acoustic cues (prosody, disfluencies, linguistic variation) for quality • Collaborated on data ingestion guidelines to improve annotation accuracy

2022 - 2025

Medical Social Worker — Kakamega General Teaching and Referral Hospital

Diagnosis

Provided patient support, psychosocial counseling, and crisis intervention in a high-pressure clinical environment. Maintained strictly confidential social case records and clinical documentation to support interdisciplinary decision-making. Facilitated rehabilitation planning, resource allocation, and community reintegration processes. • Managed confidential patient/social case documentation • Coordinated with clinical departments for interdisciplinary care • Supported crisis response and rehabilitation planning • Maintained records used for clinical decision workflows

2021 - 2022

Education

Work History