Derick Were

Key Skills

Software

Data Annotation Tech

Dataloop

Deep Systems

Encord

Google Cloud Vertex AI

HiveMind

iMerit

Img Lab

Labelbox

Label Studio

Mercor

Mindrift

OneForma

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Computer Code Programming

Document

Geospatial Tiled Imagery

Image

Medical Dicom

Text

Video

Top Task Types

Action Recognition

Computer Programming Coding

Data Collection

Diagnosis

Object Detection

Prompt Response Writing SFT

Red Teaming

Segmentation

Transcription

Translation Localization

Freelancer Overview

I am a multidisciplinary professional with a unique blend of experience in healthcare, software engineering, and AI/ML, specializing in the development and deployment of high-quality training data for AI systems. My background includes designing and implementing AI-enhanced clinical decision support systems, NLP-powered clinical documentation, and predictive analytics tools, where I have overseen data annotation, labeling, and quality assurance processes to ensure accuracy and compliance with regulatory standards. I am skilled in working with medical and clinical datasets, EMR/EHR systems, and have hands-on experience with prompt engineering, data-driven model training, and deploying solutions for real-world healthcare and telemedicine applications. My expertise bridges clinical insight and technical know-how, enabling me to deliver reliable, ethically sourced training data for AI projects in healthcare, NLP, and digital health domains.

Labeling Experience

data anotation

Data Annotation TechMedical DicomDiagnosisData Collection

worked in a healthcare AI data annotation project focused on medical datasets, supporting the development of clinical decision-support models. Ensured high-quality annotations using data annotation tech tools while maintaining dataset accuracy and consistency according to medical guidlines

worked in a healthcare AI data annotation project focused on medical datasets, supporting the development of clinical decision-support models. Ensured high-quality annotations using data annotation tech tools while maintaining dataset accuracy and consistency according to medical guidlines

2025

Education

Work History