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Samuel S.

Samuel S.

AI Training & Data Analytics Specialist (AI training, data annotation, classification, validation, and evaluation)

Kenya flagNairobi, Kenya

Key Skills

Software

No software listed

Top Subject Matter

AI training datasets for machine learning and analytics

Top Data Types

TextText

Top Task Types

ClassificationClassification
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Freelancer Overview

AI Training & Data Analytics Specialist (AI training, data annotation, classification, validation, and evaluation). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI and Data Analytics Specialist - N/A

ClassificationClassificationTrackingTracking

The role focused on preparing and validating datasets to support machine learning and AI development work. The position required attention to detail in organizing labels, checking classifications, and ensuring data quality. The work also involved creating reports and dashboards to communicate performance insights to stakeholders. • Train and evaluate datasets for machine learning and AI development projects. • Perform data annotation, classification, and validation with a focus on accuracy. • Develop reports and dashboards tracking performance metrics for business decisions. • Analyze large datasets to identify trends and improvement opportunities.

2023 - Present

AI Training & Data Analytics Specialist (AI training, data annotation, classification, validation, and evaluation)

TextText

Trained and evaluated datasets used for machine learning and AI development projects with a strong emphasis on label quality and correctness. Performed data annotation, classification, and validation to ensure annotations met project requirements. Produced performance insights by reviewing model- or dataset-level metrics and identifying areas needing improvement. • Annotated and validated dataset records for classification tasks. • Performed quality assurance checks on labeled data before use. • Conducted dataset/model evaluation activities to assess performance. • Compiled metric-based findings for reporting and dashboard updates.

2023 - Present

Education

M

muringa school,data analytics 2026

Degree not specified

Not specified
Not specified

Work History

N

N/A

AI and Data Analytics Specialist

Nairobi
2023 - Present