Collins Kariuki

Key Skills

Software

Appen

Data Annotation Tech

LabelImg

Mercor

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Image

Text

Video

Top Label Types

Classification

Data Collection

Object Detection

Polygon

Prompt Response Writing SFT

Text Generation

Translation Localization

Freelancer Overview

Detail-oriented AI training and data quality professional with strong analytical skills and a solid academic foundation in mathematics. Holds a Master’s degree in Pure and Applied Mathematics and has hands-on experience processing, validating, and reviewing large volumes of structured and unstructured data in remote environments. Proven ability to follow detailed guidelines, ensure high data accuracy, and maintain strict confidentiality standards while supporting AI model training and data-driven workflows

Labeling Experience

Mathematics AI Expert

MercorTextRelationshipQuestion Answering

I worked as a Math AI Training Expert at Mercor, contributing to large-scale AI model training focused on improving mathematical reasoning. My role involved reviewing and labeling AI-generated solutions, identifying errors, annotating step-by-step reasoning, and rewriting incorrect responses. I handled high-volume datasets covering algebra, geometry, trigonometry, probability, and basic calculus. I adhered to strict quality guidelines, including accuracy standards, peer review, consistency checks, and data confidentiality, helping improve the model’s reliability and instructional clarity.

I worked as a Math AI Training Expert at Mercor, contributing to large-scale AI model training focused on improving mathematical reasoning. My role involved reviewing and labeling AI-generated solutions, identifying errors, annotating step-by-step reasoning, and rewriting incorrect responses. I handled high-volume datasets covering algebra, geometry, trigonometry, probability, and basic calculus. I adhered to strict quality guidelines, including accuracy standards, peer review, consistency checks, and data confidentiality, helping improve the model’s reliability and instructional clarity.

2025

Crowdgen Appen Data Annotator

AppenVideoPolygonClassification

Scope of Project I worked on large-scale AI training projects at CrowdGen (Appen) focused on improving computer vision models. The scope involved reviewing, annotating, and validating AI-generated images and videos to ensure they met quality, accuracy, and ethical standards. The projects supported machine learning systems used in object recognition, content moderation, and visual classification. Specific Data Labelling Task My main tasks included: Annotating objects, people, and scenes in images and videos using bounding boxes, polygons, and tags. Classifying visual content based on predefined categories and guidelines. Verifying AI-generated media for accuracy, bias, and compliance with project rules. Flagging low-quality, misleading, or inappropriate content. Performing quality checks on peer annotations. Project Size The projects involved large datasets, typically consisting of tens of thousands of images and video clips. I contributed to high-volume annotation tasks on a

Scope of Project I worked on large-scale AI training projects at CrowdGen (Appen) focused on improving computer vision models. The scope involved reviewing, annotating, and validating AI-generated images and videos to ensure they met quality, accuracy, and ethical standards. The projects supported machine learning systems used in object recognition, content moderation, and visual classification. Specific Data Labelling Task My main tasks included: Annotating objects, people, and scenes in images and videos using bounding boxes, polygons, and tags. Classifying visual content based on predefined categories and guidelines. Verifying AI-generated media for accuracy, bias, and compliance with project rules. Flagging low-quality, misleading, or inappropriate content. Performing quality checks on peer annotations. Project Size The projects involved large datasets, typically consisting of tens of thousands of images and video clips. I contributed to high-volume annotation tasks on a

2025

AI Training Specialist / Data Annotation

TelusImageClassificationText Generation

Performed data labeling and verification for structured and unstructured text datasets in support of AI model training. Reviewed and validated data content for consistency, accuracy, and quality in alignment with project guidelines. Flagged errors and ambiguities, providing correction recommendations and feedback. • Applied predefined rubrics and quality standards during content evaluation. • Maintained strict confidentiality and sensitive data handling procedures. • Supported annotation workflows and human-in-the-loop review processes. • Ensured high accuracy in data classification and labeling tasks.

Performed data labeling and verification for structured and unstructured text datasets in support of AI model training. Reviewed and validated data content for consistency, accuracy, and quality in alignment with project guidelines. Flagged errors and ambiguities, providing correction recommendations and feedback. • Applied predefined rubrics and quality standards during content evaluation. • Maintained strict confidentiality and sensitive data handling procedures. • Supported annotation workflows and human-in-the-loop review processes. • Ensured high accuracy in data classification and labeling tasks.

2025 - 2025

Education

Work History