Wambui M.

Key Skills

Software

Other

Appen

Telus

Top Subject Matter

Multilingual transcription (Swahili)

Code-switching Domain Expertise

linguistic review

Top Data Types

Audio

Text

Image

Document

Top Task Types

Transcription

Freelancer Overview

Swahili Verbatim Transcriptionist, RWS. Core strengths include Other, Appen, and Telus. Education includes Diploma, United States International University Africa (USIU) (2023) and Bachelor of Science, Jomo Kenyatta University of Agriculture and Technology (JKUAT) (2019). AI-training focus includes data types such as Audio and Text and labeling workflows including Transcription, Evaluation, and Rating.

Labeling Experience

Swahili Verbatim Transcriptionist, RWS

OtherAudioTranscription

Provided word-for-word Swahili verbatim transcription for audio recordings, preserving filler words, pauses, and repetitions. Ensured accurate handling of code-switching so the Swahili-English blend matched the source. Applied client-specific formatting requirements for consistent, submission-ready transcripts. • Preserved natural speech cues including repetitions, fillers, and informal interjections. • Maintained correct speaker labels, punctuation, and timestamps per guidelines. • Reviewed and self-edited transcripts to confirm accuracy, clarity, and alignment. • Verified transcripts faithfully reflected the original audio before delivery.

2026 - 2026

Data Annotation Specialist, Appen

AppenText

Annotated text and image items for AI training datasets to support model development. Reviewed AI responses at high volume while maintaining above-98% accuracy standards. Contributed to process improvements by developing annotation guidelines and delivering structured feedback to the team. • Annotated over 500,000 text and image items for training. • Reviewed more than 1,000 AI responses per day while maintaining 98%+ accuracy. • Developed annotation guidelines that improved team efficiency by 15%. • Delivered feedback that improved model response quality by 20%.

2022 - 2025

Content Review and Data Annotation Associate, Telus International

TelusText

Reviewed over 800 AI responses daily for linguistic accuracy across Swahili and English variants. Conducted A/B tests to evaluate and compare AI output effectiveness and share findings with the quality team. Built a Swahili training dataset to support improved AI training efficiency. • Performed linguistic accuracy review of AI responses at high daily volume. • Conducted A/B testing to compare AI output effectiveness. • Shared evaluation findings with quality stakeholders. • Built a Swahili training dataset improving training efficiency by 30%.

2018 - 2021

Education

Work History