Mutiku Kivuva

Key Skills

Software

Labelbox

Appen

Top Subject Matter

AI Training and Model Evaluation

AI Model Training and Data Annotation

Legal Services & Contract Review

Top Data Types

Video

Text

Image

Document

Top Task Types

Action Recognition

Classification

Freelancer Overview

Remote Data Evaluation Specialist | Independent Contractor. Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Labelbox and Appen. Education includes Bachelor of Science, University of Nairobi (2022). AI-training focus includes data types such as Video and Text and labeling workflows including Action Recognition and Classification.

Labeling Experience

Remote Data Evaluation Specialist | Independent Contractor

LabelboxVideoAction Recognition

As a Remote Data Evaluation Specialist, I executed high-fidelity data categorization and labeling for machine learning model training on global platforms. I specialized in video partitioning, temporal action localization, and RLHF to ensure quality and safety alignment. My work contributed to refining taxonomies and improving the accuracy of model outputs to match human standards. • Performed temporal video annotation and partitioning for computer vision models. • Conducted RLHF labeling and evaluation of LLM outputs for ranking and safety alignment. • Collaborated on taxonomy development and edge-case documentation. • Ensured 99% quality scores in annotation projects across platforms including Mercor, OpenTrain, Aligner, Labelbox, CVAT, Scale AI, and Remotasks.

As a Remote Data Evaluation Specialist, I executed high-fidelity data categorization and labeling for machine learning model training on global platforms. I specialized in video partitioning, temporal action localization, and RLHF to ensure quality and safety alignment. My work contributed to refining taxonomies and improving the accuracy of model outputs to match human standards. • Performed temporal video annotation and partitioning for computer vision models. • Conducted RLHF labeling and evaluation of LLM outputs for ranking and safety alignment. • Collaborated on taxonomy development and edge-case documentation. • Ensured 99% quality scores in annotation projects across platforms including Mercor, OpenTrain, Aligner, Labelbox, CVAT, Scale AI, and Remotasks.

2024 - Present

Freelance Data Annotator | Appen / Telus International

AppenTextClassification

As a Freelance Data Annotator for Appen and Telus International, I labeled a diverse set of over 50,000 data points across multiple modalities. My tasks included text, image, and audio annotation, as well as red-teaming exercises to test AI safety protocols. The role demanded strict adherence to project deadlines and privacy requirements. • Labeled and classified large volumes of text, images, and audio data for AI model training. • Participated in red teaming to identify and address AI system vulnerabilities. • Maintained quality and accuracy while following client and platform guidelines. • Utilized Appen and Telus software for annotation work on various global projects.

As a Freelance Data Annotator for Appen and Telus International, I labeled a diverse set of over 50,000 data points across multiple modalities. My tasks included text, image, and audio annotation, as well as red-teaming exercises to test AI safety protocols. The role demanded strict adherence to project deadlines and privacy requirements. • Labeled and classified large volumes of text, images, and audio data for AI model training. • Participated in red teaming to identify and address AI system vulnerabilities. • Maintained quality and accuracy while following client and platform guidelines. • Utilized Appen and Telus software for annotation work on various global projects.

2022 - 2023

Education

Work History