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Steffi Kagua

Steffi Kagua

AI Model Trainer & Evaluator (Management Consulting)

KENYA flag
Nairobi, Kenya
$20.00/hrIntermediateMercorTolokaAppen

Key Skills

Software

MercorMercor
TolokaToloka
AppenAppen
Data Annotation TechData Annotation Tech
Mighty AIMighty AI
Scale AIScale AI
Surge AISurge AI

Top Subject Matter

Management Consulting
Business Analytics
Legal Services & Contract Review

Top Data Types

TextText
AudioAudio
DocumentDocument

Top Task Types

Text Summarization
Text Generation
Transcription
Prompt Response Writing SFT
Data Collection
Red Teaming
Question Answering

Freelancer Overview

AI Model Trainer & Evaluator (Management Consulting). Brings years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Python. Education includes Bachelor of Science, Daystar University (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

IntermediateSwahiliEnglish

Labeling Experience

Text annotation

TextQuestion Answering
I perform Quality Assurance (QA) in NLP/text annotation within the cosmetics domain, working with products such as Luron under Buyline Industries Limited, where I ensure high accuracy and consistency in labeled data used for AI model training. My role involves validating sentiment (including mixed sentiment), verifying correct entity recognition (e.g., product names, ingredients, and skin concerns), and ensuring proper intent classification (inquiries, complaints, reviews) in customer feedback. I identify and correct errors such as mislabeling, missed entities, and inconsistencies, while strictly adhering to annotation guidelines and maintaining high inter-annotator agreement (IAA). Through structured QA workflows—including self-review, audits, and feedback loops—I consistently achieve accuracy benchmarks of 95% or higher, ensuring reliable, high-quality datasets for applications like customer insight analysis and product recommendation systems.

I perform Quality Assurance (QA) in NLP/text annotation within the cosmetics domain, working with products such as Luron under Buyline Industries Limited, where I ensure high accuracy and consistency in labeled data used for AI model training. My role involves validating sentiment (including mixed sentiment), verifying correct entity recognition (e.g., product names, ingredients, and skin concerns), and ensuring proper intent classification (inquiries, complaints, reviews) in customer feedback. I identify and correct errors such as mislabeling, missed entities, and inconsistencies, while strictly adhering to annotation guidelines and maintaining high inter-annotator agreement (IAA). Through structured QA workflows—including self-review, audits, and feedback loops—I consistently achieve accuracy benchmarks of 95% or higher, ensuring reliable, high-quality datasets for applications like customer insight analysis and product recommendation systems.

2026 - Present

Audio Annotation

AudioTranscription
I specialize in audio annotation within the cosmetics and beauty sector, supporting the development of AI systems for customer interaction analysis, voice search optimization, and brand sentiment tracking. My work contributes to improving how beauty brands understand and respond to customer needs across voice-based platforms. i perform: High-accuracy audio transcription of customer reviews, consultations, and product feedback, including industry-specific vocabulary (e.g., “hyaluronic acid,” “non-comedogenic,” “SPF formulation”). Speaker diarization to distinguish between customers, beauty consultants, and sales agents in recorded interactions. Sentiment and intent labelling (e.g., satisfaction, complaints, inquiries about product usage or side effects). Audio classification based on context (e.g., product review, tutorial, complaint, recommendation). Keyword tagging for product names, ingredients, skin concerns, and brand mentions to support search and analytics systems. Annotation of multilingual audio data (e.g., English and Kiswahili) for broader market relevance.

I specialize in audio annotation within the cosmetics and beauty sector, supporting the development of AI systems for customer interaction analysis, voice search optimization, and brand sentiment tracking. My work contributes to improving how beauty brands understand and respond to customer needs across voice-based platforms. i perform: High-accuracy audio transcription of customer reviews, consultations, and product feedback, including industry-specific vocabulary (e.g., “hyaluronic acid,” “non-comedogenic,” “SPF formulation”). Speaker diarization to distinguish between customers, beauty consultants, and sales agents in recorded interactions. Sentiment and intent labelling (e.g., satisfaction, complaints, inquiries about product usage or side effects). Audio classification based on context (e.g., product review, tutorial, complaint, recommendation). Keyword tagging for product names, ingredients, skin concerns, and brand mentions to support search and analytics systems. Annotation of multilingual audio data (e.g., English and Kiswahili) for broader market relevance.

2026 - Present

Image annotation

ImageBounding Box
Bounding boxes, polygon segmentation, and key point labelling for computer vision tasks and video game visuals labelling using tools such as Labelling , CVAT, and Labelbox.

Bounding boxes, polygon segmentation, and key point labelling for computer vision tasks and video game visuals labelling using tools such as Labelling , CVAT, and Labelbox.

2025 - 2026

CONTENT MODERATION ANNOTATION Trainee

VideoQuestion Answering
Identifying and labeling sensitive or inappropriate content according to platform guidelines.

Identifying and labeling sensitive or inappropriate content according to platform guidelines.

2025 - 2025

AI Model Trainer & Evaluator (Management Consulting)

DocumentPrompt Response Writing SFT
Trained and evaluated AI models tailored for management consulting scenarios, focusing on real-world problem-solving within the field. Designed project deliverables based on authentic business challenges and aligned tasks to changing client objectives. Analysis of client datasets yielded actionable process optimizations and increased delivery accuracy. • Designed and executed evaluation frameworks for AI model outputs in management consulting use cases. • Created tasks simulating real-world consulting scenarios to test AI model performance. • Utilized Python and Tableau for analysis, uncovering process improvements and quality enhancements. • Increased project delivery accuracy by 23% through iterative AI feedback and evaluation cycles.

Trained and evaluated AI models tailored for management consulting scenarios, focusing on real-world problem-solving within the field. Designed project deliverables based on authentic business challenges and aligned tasks to changing client objectives. Analysis of client datasets yielded actionable process optimizations and increased delivery accuracy. • Designed and executed evaluation frameworks for AI model outputs in management consulting use cases. • Created tasks simulating real-world consulting scenarios to test AI model performance. • Utilized Python and Tableau for analysis, uncovering process improvements and quality enhancements. • Increased project delivery accuracy by 23% through iterative AI feedback and evaluation cycles.

2023 - 2025

Education

A

analytics vidya

Data Analyst AI Agent, Building Data Analyst AI Agent

Data Analyst AI Agent
2026 - 2026
D

Daystar University

Bachelor of Science, Economics

Bachelor of Science
2020 - 2025

Work History

J

Jarateng Studios

Recording Artist

Nairobi
2021 - Present
H

Haltron Solution

Creative Prompt Writer

Nairobi
2025 - 2026