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S

Sidney Maima

AI Data Annotation & Model Evaluation Specialist

Kenya flagRemote, Kenya
ExpertScale AILabelbox

Key Skills

Software

Scale AIScale AI
LabelboxLabelbox

Top Subject Matter

General AI/NLP
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
DocumentDocument

Top Task Types

No task types listed

Freelancer Overview

AI Data Annotation & Model Evaluation Specialist. Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Scale AI, Labelbox, and Alignerr. Education includes Master of Science, Stanford University (2018) and Bachelor of Science, Stanford University (2016). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Expert

Labeling Experience

Scale AI

AI Data Annotation & Model Evaluation Specialist

Scale AIText
Worked on AI training data annotation and model output evaluation using multiple industry platforms. Evaluated prompts, labeled AI-generated outputs, and performed dataset quality checks for machine learning projects. Prepared and reviewed annotated datasets to ensure compliance with structured annotation guidelines. • Created evaluation labels and prompts for AI model testing workflows. • Labeled text datasets and reviewed AI-generated text outputs for accuracy and consistency. • Performed quality control and validation on annotated data. • Used Scale AI, Labelbox, and Alignerr for structured data labeling and review.

Worked on AI training data annotation and model output evaluation using multiple industry platforms. Evaluated prompts, labeled AI-generated outputs, and performed dataset quality checks for machine learning projects. Prepared and reviewed annotated datasets to ensure compliance with structured annotation guidelines. • Created evaluation labels and prompts for AI model testing workflows. • Labeled text datasets and reviewed AI-generated text outputs for accuracy and consistency. • Performed quality control and validation on annotated data. • Used Scale AI, Labelbox, and Alignerr for structured data labeling and review.

2023 - Present

Education

S

Stanford University

Master of Science, Computer Science

Master of Science
2016 - 2018
S

Stanford University

Bachelor of Science, Computer Science

Bachelor of Science
2012 - 2016

Work History

N

N/A

DevOps Automation Engineer

Remote
2022 - Present