Arnold Kipruto

Key Skills

Software

Toloka

Telus

Appen

Top Subject Matter

AI Model Training/Data Annotation

Conversational AI/NLP

Search Engine/AI Output Evaluation

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

Data Annotation & AI Training Specialist. Core strengths include Toloka, Telus, and Appen. Education includes Bachelor of Science, University of Nairobi (2024) and Diploma or Certification, IBM (2025). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Online Data Analyst / AI Trainer

TelusText

In the role of Online Data Analyst/AI Trainer at TELUS International, I annotated and reviewed datasets utilized in AI and NLP development. My responsibilities included evaluating chatbot responses for factuality, safety, and coherence using specialized tools. Complex evaluation tasks required in-depth reasoning and contextual understanding. • Supported conversational AI with comprehensive annotation tasks. • Evaluated and rated LLM-generated outputs for factual accuracy. • Performed dataset reviews for NLP model improvement. • Maintained data confidentiality and security throughout projects.

In the role of Online Data Analyst/AI Trainer at TELUS International, I annotated and reviewed datasets utilized in AI and NLP development. My responsibilities included evaluating chatbot responses for factuality, safety, and coherence using specialized tools. Complex evaluation tasks required in-depth reasoning and contextual understanding. • Supported conversational AI with comprehensive annotation tasks. • Evaluated and rated LLM-generated outputs for factual accuracy. • Performed dataset reviews for NLP model improvement. • Maintained data confidentiality and security throughout projects.

2023 - Present

Data Annotation & AI Training Specialist

TolokaTextClassification

As a Data Annotation & AI Training Specialist at Toloka, I conducted large-scale annotation tasks on multilingual datasets to support machine learning model development. I performed text classification, sentiment analysis, image labeling, and relevance evaluation to enhance AI accuracy and localization. Quality assurance reviews were also a critical part of my duties, ensuring compliance with strict project guidelines. • Performed text classification and sentiment analysis on diverse datasets. • Executed image annotation tasks for computer vision models. • Conducted search relevance and AI output evaluation for model improvement. • Ensured high-quality data standards through regular QA and feedback.

As a Data Annotation & AI Training Specialist at Toloka, I conducted large-scale annotation tasks on multilingual datasets to support machine learning model development. I performed text classification, sentiment analysis, image labeling, and relevance evaluation to enhance AI accuracy and localization. Quality assurance reviews were also a critical part of my duties, ensuring compliance with strict project guidelines. • Performed text classification and sentiment analysis on diverse datasets. • Executed image annotation tasks for computer vision models. • Conducted search relevance and AI output evaluation for model improvement. • Ensured high-quality data standards through regular QA and feedback.

2022 - Present

AI Data Rater / Search Engine Evaluator

AppenText

As an AI Data Rater and Search Engine Evaluator at Appen, I rated search engine results and AI-generated content for relevance, quality, and alignment with guidelines. My work contributed to training datasets and the continual improvement of search and recommendation algorithms. I achieved high productivity while providing feedback on guideline clarity and project quality. • Rated and evaluated search engine results and advertisements. • Reviewed AI model outputs for contextual accuracy and relevance. • Contributed to dataset development for machine learning training. • Met strict KPIs for quality and productivity across remote projects.

As an AI Data Rater and Search Engine Evaluator at Appen, I rated search engine results and AI-generated content for relevance, quality, and alignment with guidelines. My work contributed to training datasets and the continual improvement of search and recommendation algorithms. I achieved high productivity while providing feedback on guideline clarity and project quality. • Rated and evaluated search engine results and advertisements. • Reviewed AI model outputs for contextual accuracy and relevance. • Contributed to dataset development for machine learning training. • Met strict KPIs for quality and productivity across remote projects.

2021 - 2023

Education

Work History