Calleb Omollo

Key Skills

Software

Remotasks

Top Subject Matter

Computational Biology

Scientific Data

AI Model Evaluation

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

AI Data Specialist / Model Quality Reviewer. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Remotasks. Education includes Master of Science, Wilkes University (2022) and Bachelor of Science, Masinde Muliro University (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Data Specialist / Model Quality Reviewer

Text

As an AI Data Specialist and Model Quality Reviewer at RWS.ai, I evaluated large-scale datasets and validated AI model outputs for quality and correctness. The role included identifying hallucinations, inconsistencies, and errors in computational biology workflows and scientific data. I developed structured scoring rubrics and collaborated in improving data pipelines for high-quality AI training. • Designed and validated multi-step computational and biological reasoning tasks for AI models. • Evaluated outputs using Python tools and ensured scientific, statistical, and computational correctness. • Built validation pipelines and performed high-volume comparison and rating of model outputs. • Created documentation to report findings, label inconsistencies, and recommend corrections.

As an AI Data Specialist and Model Quality Reviewer at RWS.ai, I evaluated large-scale datasets and validated AI model outputs for quality and correctness. The role included identifying hallucinations, inconsistencies, and errors in computational biology workflows and scientific data. I developed structured scoring rubrics and collaborated in improving data pipelines for high-quality AI training. • Designed and validated multi-step computational and biological reasoning tasks for AI models. • Evaluated outputs using Python tools and ensured scientific, statistical, and computational correctness. • Built validation pipelines and performed high-volume comparison and rating of model outputs. • Created documentation to report findings, label inconsistencies, and recommend corrections.

2023 - Present

AI Model Evaluator / Data Annotation Specialist

RemotasksTextClassification

As an AI Model Evaluator and Data Annotation Specialist with Remotasks, I annotated and validated datasets supporting machine learning in text, image, and scientific domains. My work involved reviewing and correcting labels, categorizing data, and conducting quality assurance audits to ensure accuracy. I also contributed to the creation of robust training sets for bioinformatics-focused AI systems. • Labeled and validated diverse data including scientific text and image assets. • Applied domain knowledge for biological interpretation and statistical annotation. • Conducted audits to maintain annotation consistency and corrected errors. • Supported the delivery of high-quality labeled data for model training in complex projects.

As an AI Model Evaluator and Data Annotation Specialist with Remotasks, I annotated and validated datasets supporting machine learning in text, image, and scientific domains. My work involved reviewing and correcting labels, categorizing data, and conducting quality assurance audits to ensure accuracy. I also contributed to the creation of robust training sets for bioinformatics-focused AI systems. • Labeled and validated diverse data including scientific text and image assets. • Applied domain knowledge for biological interpretation and statistical annotation. • Conducted audits to maintain annotation consistency and corrected errors. • Supported the delivery of high-quality labeled data for model training in complex projects.

2021 - 2022

Education

Work History