Geoffrey R.

Key Skills

Software

Appen

Labelbox

Scale AI

SuperAnnotate

V7 Labs

Dataloop

Top Subject Matter

Enterprise Analytics

Machine Learning

AI Training

Top Data Types

Text

Computer Code Programming

Top Task Types

Fine-tuning

Data Collection

Freelancer Overview

Senior Data Analyst & AI Training Lead, Palantir Technologies. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, University of Oxford (2017) and Bachelor of Science, Queen's University Belfast (2015). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning and Data Collection.

Labeling Experience

Senior Data Analyst & AI Training Lead, Palantir Technologies

TextFine-tuning

Led the curation, labeling, and quality assessment of large-scale structured and unstructured datasets for machine learning model training and fine-tuning. Developed annotation guidelines and benchmarking frameworks to ensure the alignment, accuracy, and diversity of AI model datasets. Collaborated with ML and product teams to calibrate labeling standards and provided feedback for iterative improvement. • Managed data labeling pipelines for diverse enterprise and national-level clients • Ensured data quality and consistency with structured QA processes • Delivered training and mentorship to analysts and AI reviewers • Used proprietary tools for large-scale dataset management and evaluation

2017 - Present

Data Analyst & AI Research Analyst, Databricks

TextData Collection

Contributed to the design and validation of datasets used for anomaly detection model development. Applied quality control processes to ensure ground-truth data accuracy, supporting robust AI model training. Participated in dataset preparation for AI-driven predictive and anomaly detection research. • Supported dataset curation for unsupervised learning applications • Maintained tight quality control and accuracy standards • Provided labeling feedback for research-driven model evaluation • Collaborated with data engineers on proof-of-concept tools and methodologies

2015 - 2017

Education

Work History