Alfred Marwa

Key Skills

Software

Sama

CloudFactory

Appen

Top Subject Matter

Machine Learning

Data Annotation

Transcription (English & Swahili)

Top Data Types

Text

Audio

Image

Top Task Types

Classification

Transcription

Freelancer Overview

Data Annotation Specialist – Sama, Nairobi, Kenya. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Sama, CloudFactory, and Appen. Education includes Bachelor of Science, University of Nairobi (2022). AI-training focus includes data types such as Text and Audio and labeling workflows including Classification and Transcription.

Labeling Experience

Data Annotation Specialist – Sama, Nairobi, Kenya

SamaTextClassification

As a Data Annotation Specialist at Sama, I annotated and labeled datasets for AI and machine learning models across text, image, and audio data. I was responsible for transcription, translation, and data validation, focusing on maintaining high accuracy and meeting quality standards. My work involved using leading annotation tools and adhering strictly to annotation guidelines. • Completed annotations for a variety of data types, including text, image, and audio. • Ensured data consistency and accuracy through regular quality assurance checks. • Used tools such as Labelbox, CVAT, and Doccano for annotation tasks. • Collaborated with team members to optimize workflow quality.

As a Data Annotation Specialist at Sama, I annotated and labeled datasets for AI and machine learning models across text, image, and audio data. I was responsible for transcription, translation, and data validation, focusing on maintaining high accuracy and meeting quality standards. My work involved using leading annotation tools and adhering strictly to annotation guidelines. • Completed annotations for a variety of data types, including text, image, and audio. • Ensured data consistency and accuracy through regular quality assurance checks. • Used tools such as Labelbox, CVAT, and Doccano for annotation tasks. • Collaborated with team members to optimize workflow quality.

2023 - Present

AI Data Labeling Assistant – CloudFactory, Nairobi, Kenya

CloudfactoryTextClassification

As an AI Data Labeling Assistant at CloudFactory, I labeled datasets for NLP and speech recognition systems. I reviewed and corrected annotation outputs, consistently maintaining high-quality standards throughout tasks. I helped improve internal annotation workflows via regular process feedback. • Labeled text and audio data for natural language and speech tasks. • Conducted quality reviews and corrected mislabeled outputs. • Contributed feedback to enhance annotation process efficiency. • Managed multiple projects, meeting strict deadlines.

As an AI Data Labeling Assistant at CloudFactory, I labeled datasets for NLP and speech recognition systems. I reviewed and corrected annotation outputs, consistently maintaining high-quality standards throughout tasks. I helped improve internal annotation workflows via regular process feedback. • Labeled text and audio data for natural language and speech tasks. • Conducted quality reviews and corrected mislabeled outputs. • Contributed feedback to enhance annotation process efficiency. • Managed multiple projects, meeting strict deadlines.

2022 - 2023

Transcription & Annotation Contributor – Appen, Remote

AppenAudioTranscription

As a Transcription & Annotation Contributor at Appen, I transcribed and annotated audio data in Swahili and English for machine learning applications. I captured speaker intent, tone, and context in conversational datasets to support AI development. I maintained strict adherence to project formatting and annotation guidelines. • Worked with diverse audio files to support NLP machine learning. • Focused on accurate speaker diarization and context understanding. • Maintained quality deliverables under tight deadlines. • Utilized Appen's proprietary tools for annotation and transcription.

As a Transcription & Annotation Contributor at Appen, I transcribed and annotated audio data in Swahili and English for machine learning applications. I captured speaker intent, tone, and context in conversational datasets to support AI development. I maintained strict adherence to project formatting and annotation guidelines. • Worked with diverse audio files to support NLP machine learning. • Focused on accurate speaker diarization and context understanding. • Maintained quality deliverables under tight deadlines. • Utilized Appen's proprietary tools for annotation and transcription.

2021 - 2022

Education

Work History