Peter Kuria

Key Skills

Software

AWS SageMaker

Lionbridge

Telus

Internal/Proprietary Tooling

Clickworker

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Text

Image

Video

Top Label Types

Segmentation

Computer Programming Coding

Prompt Response Writing SFT

Question Answering

Text Generation

Emotion Recognition

Diagnosis

Evaluation Rating

Point Key Point

Relationship

Classification

Object Detection

Action Recognition

Text Summarization

Mapping

Freelancer Overview

I am an experienced AI data specialist with a strong background in data labeling, annotation, and quality assurance for large-scale NLP and conversational AI projects. My work spans evaluating LLM-generated responses for human-likeness, clarity, and instruction adherence, as well as annotating and categorizing multimodal datasets—including text, audio, video, and images—for training generative and interactive AI systems. I am skilled in using tools like SageMaker, UHRS, annotation dashboards, Python, R, SQL, SPSS, and STATA to deliver high-precision outputs and maintain rigorous quality standards. My experience includes applying complex taxonomies, performing pairwise comparisons, and conducting relevance and semantic evaluations for search and dialogue systems. I am adept at balancing statistical analysis with human-centered judgment to ensure that AI models are accurate, safe, and engaging for end users.

Labeling Experience

Video Data Annotator

Internal Proprietary ToolingVideoClassificationText Generation

Performed video annotation and frame-level labeling for computer vision datasets including object detection, event tagging, and motion tracking. Applied annotation protocols, dataset validation, and quality assurance checks to support machine learning model training and visual recognition systems.

Performed video annotation and frame-level labeling for computer vision datasets including object detection, event tagging, and motion tracking. Applied annotation protocols, dataset validation, and quality assurance checks to support machine learning model training and visual recognition systems.

2025

Search Query Evaluation Specialist

LionbridgeTextPoint Key PointQuestion Answering

xecuted search query annotation, relevance rating, and intent classification for large-scale information retrieval datasets. Labeled queries and results using structured evaluation guidelines, performed query-document relevance scoring, SERP analysis, and dataset QA validation to improve search ranking algorithms and AI search models.

xecuted search query annotation, relevance rating, and intent classification for large-scale information retrieval datasets. Labeled queries and results using structured evaluation guidelines, performed query-document relevance scoring, SERP analysis, and dataset QA validation to improve search ranking algorithms and AI search models.

2025

Prompt & Response Evaluation Specialist

Aws SagemakerComputer Code ProgrammingSegmentationComputer Programming Coding

Performed LLM prompt-response evaluation, text annotation, and quality rating for AI training datasets. Conducted instruction-following assessment, factuality checks, reasoning validation, and safety review using structured evaluation rubrics. Applied data labeling guidelines, error classification, and QA review to support RLHF, supervised fine-tuning, and NLP model improvement.

Performed LLM prompt-response evaluation, text annotation, and quality rating for AI training datasets. Conducted instruction-following assessment, factuality checks, reasoning validation, and safety review using structured evaluation rubrics. Applied data labeling guidelines, error classification, and QA review to support RLHF, supervised fine-tuning, and NLP model improvement.

2025

AI Data Annotation Specialist

TelusImageQuestion AnsweringEmotion Recognition

Performed multimodal data annotation including image labeling, text classification, and audio tagging for machine learning training datasets. Applied bounding box labeling, content categorization, sentiment labeling, and dataset validation while maintaining high annotation accuracy and quality assurance standards for computer vision, NLP, and speech recognition models.

Performed multimodal data annotation including image labeling, text classification, and audio tagging for machine learning training datasets. Applied bounding box labeling, content categorization, sentiment labeling, and dataset validation while maintaining high annotation accuracy and quality assurance standards for computer vision, NLP, and speech recognition models.

2025 - 2025

Game Tester (AI-Focused QA)

LionbridgeTextQuestion AnsweringText Generation

Conducted AI behavior evaluation, bug classification, and gameplay data validation within testing environments. Documented defect reports, reproduction steps, and structured QA feedback to support AI model testing and system reliability. Performed issue categorization, data verification, and test case execution within a QA pipeline.

Conducted AI behavior evaluation, bug classification, and gameplay data validation within testing environments. Documented defect reports, reproduction steps, and structured QA feedback to support AI model testing and system reliability. Performed issue categorization, data verification, and test case execution within a QA pipeline.

2025 - 2025

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Education

Work History