Felix M.

Key Skills

Software

Labelbox

Remotasks

Scale AI

Appen

Top Subject Matter

Healthcare Data & Medical Documentation

Customer Support

General Language

Top Data Types

Text

Document

Image

Top Task Types

Classification

Entity (NER) Classification

Freelancer Overview

AI Data Labelling Specialist. Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Labelbox, Remotasks, and Scale AI. Education includes Bachelor of Medicine and Bachelor of Surgery, Moi University (2020) and Postgraduate Medical Internship, Coast General Teaching and Referral Hospital (2021). AI-training focus includes data types such as Text, Document, and Medical and labeling workflows including Classification, Entity (NER) Classification, and Evaluation.

Labeling Experience

AI Data Labelling Specialist

LabelboxTextClassification

As an AI Data Labelling Specialist, I annotated and categorized large datasets for AI model training in healthcare, customer support, and general language domains. I evaluated and reviewed AI-generated responses for factual accuracy, relevance, and safety compliance. My work included prompt-response ranking, sentiment analysis, content moderation, and strict quality assurance. • Maintained over 98% accuracy across multiple projects. • Labelled medical records, clinical transcripts, and healthcare datasets with confidentiality. • Collaborated with QA teams to improve annotation workflows. • Used proprietary tools and industry-standard platforms for data annotation.

2023 - Present

LLM Evaluation Project Contributor

Scale AIText

As a Remote Contributor on Large Language Model Evaluation Projects, I evaluated AI-generated outputs for correctness, reasoning, and harmful content detection. I ranked multiple AI responses to promote alignment with project guidelines. I contributed to consistency reviews and model improvement. • Performed detailed instruction-following assessments. • Provided feedback to improve model outputs. • Focused on clarity and compliance. • Worked in a remote, global contributor team.

2022 - Present

Medical Data Annotation Analyst

RemotasksDocumentEntity (NER) Classification

As a Medical Data Annotation Analyst, I annotated medical documents, patient summaries, prescriptions, and diagnostic reports for healthcare AI systems. I tagged clinical entities, diagnoses, medications, and treatment plans for NLP training datasets. I also reviewed and corrected transcription outputs to increase dataset consistency. • Trained new annotators on labelling standards and workflows. • Maintained logs and metrics for annotation projects. • Ensured compliance with healthcare data confidentiality standards. • Used major annotation platforms and in-house tools.

2022 - 2023

Medical NLP Annotation Initiative Contributor

LabelboxEntity (NER) Classification

During the Medical NLP Annotation Initiative, I supported annotation of healthcare datasets for medical NLP systems. I tagged medical terminology, disease entities, and laboratory findings from clinical data. My contributions assisted in model training and validation. • Worked with both structured and unstructured data. • Focused on treatment-related information extraction. • Maintained data security and compliance. • Collaborated with annotation teams for quality review.

2021 - 2023

AI Training & Content Evaluation Associate

Scale AIText

As an AI Training & Content Evaluation Associate, I assessed chatbot and AI assistant responses for coherence and reasoning quality. I performed response ranking and reinforcement learning feedback tasks to enhance conversational AI. My tasks included multilingual dataset evaluation and language quality checks. • Supported data cleansing and validation for machine learning. • Reviewed Swahili and English content for localization. • Worked under deadlines to meet productivity targets. • Applied feedback for performance improvement.

2021 - 2022

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Education

Work History