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Suzan Mbithe

Suzan Mbithe

Data AI Annotator – Speech Transcription and Annotation

Kenya flagNairobi, Kenya
$7.50/hrExpertClickworkerData Annotation TechAppen

Key Skills

Software

ClickworkerClickworker
Data Annotation TechData Annotation Tech
AppenAppen
OneFormaOneForma
TolokaToloka

Top Subject Matter

Speech Recognition AI
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

AudioAudio
ImageImage
TextText
DocumentDocument

Top Task Types

Transcription
Question Answering
Evaluation Rating
Data Collection
Object Detection
Text Generation
Text Summarization
Fine Tuning
Classification

Freelancer Overview

Data AI Annotator – Speech Transcription and Annotation. Core strengths include N and A. Education includes Doctor of Philosophy, Carnegie Mellon University (2025) and Master of Science, Stanford University (2024). AI-training focus includes data types such as Audio and labeling workflows including Transcription.

ExpertEnglishSwahili

Labeling Experience

Data AI Annotator – Speech Transcription and Annotation

AudioTranscription
As a Data AI Annotator, I refined and corrected speech transcriptions to ensure high data quality for AI-driven speech recognition. I used my proficiency in English, Swahili, and Kamba to accurately capture spoken content and meet strict annotation guidelines. My attention to detail enabled me to identify and fix errors in machine-generated transcripts for multiple languages. • Reviewed and edited audio transcriptions for accuracy. • Ensured all output complied with defined project standards and linguistic requirements. • Managed time and workflow to maximize productivity in a remote environment. • Contributed to projects focused on improving AI language models and speech recognition systems.

As a Data AI Annotator, I refined and corrected speech transcriptions to ensure high data quality for AI-driven speech recognition. I used my proficiency in English, Swahili, and Kamba to accurately capture spoken content and meet strict annotation guidelines. My attention to detail enabled me to identify and fix errors in machine-generated transcripts for multiple languages. • Reviewed and edited audio transcriptions for accuracy. • Ensured all output complied with defined project standards and linguistic requirements. • Managed time and workflow to maximize productivity in a remote environment. • Contributed to projects focused on improving AI language models and speech recognition systems.

Not specified

Education

C

Carnegie Mellon University

Doctor of Philosophy, Machine Learning

Doctor of Philosophy
2023 - 2025
S

Stanford University

Master of Science, Artificial Intelligence

Master of Science
2020 - 2024

Work History

R

Remote jobs

Online Freelancer

Nairobi
2023 - 2026
A

ABC Solutions

Administrative Assistant

Nairobi
2024 - 2025