For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
F
Frank Papa

Frank Papa

AI Training & Data Labeling Specialist

Kenya flagNairobi, Kenya
$10.00/hrExpertLabel Studio

Key Skills

Software

Label StudioLabel Studio

Top Subject Matter

Speech Recognition
Nlp Domain Expertise
Multilingual Audio (Swahili, Sheng, East African Dialects)

Top Data Types

AudioAudio
TextText
DocumentDocument

Top Task Types

TranscriptionTranscription

Freelancer Overview

AI Training & Data Labeling Specialist. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio. Education includes Bachelor of Education, Masinde Muliro University of Science and Technology. AI-training focus includes data types such as Audio and labeling workflows including Transcription, Evaluation, and Rating.

ExpertEnglishSwahili

Labeling Experience

Label Studio

AI Training & Data Labeling Specialist

Label StudioAudioTranscription
As an AI Training & Data Labeling Specialist, I annotated and labeled Swahili-language audio datasets for machine learning model development. I applied complex annotation guidelines to various East African dialects, ensuring accurate phonetic alignment, speaker diarization, and context-specific labeling. My work directly contributed to culturally nuanced, production-ready datasets used for speech recognition and NLP pipelines. • Implemented structured quality rubrics to maintain high labeling accuracy across multilingual and code-switched audio content. • Identified and resolved ambiguous segments, enhancing dataset reliability for regional AI deployment. • Collaborated closely with AI/ML engineering teams to refine schemas and resolve edge cases for low-resource languages. • Ensured data security, confidentiality, and version control while handling sensitive audio assets.

As an AI Training & Data Labeling Specialist, I annotated and labeled Swahili-language audio datasets for machine learning model development. I applied complex annotation guidelines to various East African dialects, ensuring accurate phonetic alignment, speaker diarization, and context-specific labeling. My work directly contributed to culturally nuanced, production-ready datasets used for speech recognition and NLP pipelines. • Implemented structured quality rubrics to maintain high labeling accuracy across multilingual and code-switched audio content. • Identified and resolved ambiguous segments, enhancing dataset reliability for regional AI deployment. • Collaborated closely with AI/ML engineering teams to refine schemas and resolve edge cases for low-resource languages. • Ensured data security, confidentiality, and version control while handling sensitive audio assets.

2023 - Present
Label Studio

Remote Customer Support & Community Manager (AI Data Validation)

Label StudioAudio
In my role managing remote customer support and fan engagement projects, I processed high-volume multilingual interactions relevant to AI data validation. I reviewed audio/chat data, translating qualitative user feedback into structured metadata and quality tags. I facilitated workflow alignment with AI training standards by ensuring linguistic accuracy, compliance, and cultural relevance. • Built precise tagging and metadata workflows in CRM and annotation tools for training data preparation. • Conducted cross-team training sessions on annotation standards for improved labeling reliability. • Verified and updated speech data per safety, bias, and accuracy criteria for AI readiness. • Collaborated with content creators to assure compliance with AI safety guidelines.

In my role managing remote customer support and fan engagement projects, I processed high-volume multilingual interactions relevant to AI data validation. I reviewed audio/chat data, translating qualitative user feedback into structured metadata and quality tags. I facilitated workflow alignment with AI training standards by ensuring linguistic accuracy, compliance, and cultural relevance. • Built precise tagging and metadata workflows in CRM and annotation tools for training data preparation. • Conducted cross-team training sessions on annotation standards for improved labeling reliability. • Verified and updated speech data per safety, bias, and accuracy criteria for AI readiness. • Collaborated with content creators to assure compliance with AI safety guidelines.

2022 - 2024

Education

M

Masinde Muliro University of Science and Technology

Bachelor of Education, Geography and Business

Bachelor of Education
Not specified

Work History

F

Fan Engagement Projects

Remote Customer Support and Community Manager

Nairobi
2022 - 2024