Conrad H.

Key Skills

Software

Other

Top Subject Matter

Physics Domain Expertise

Mathematics Domain Expertise

and computational problem-solving content

Top Data Types

Text

Computer Code Programming

Top Task Types

Bounding Box

Polygon

Entity (NER) Classification

Object Detection

Text Generation

Question Answering

Freelancer Overview

Data Annotator (Self-Employed). Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science in Physics, Stanford University (2011) and Bachelor of Science in Physics, Astronomy, Computer Science, and Mathematics, University of Arizona (2006). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

Data Annotator (Self-Employed)

OtherText

Annotate, evaluate, and review scientific and technical physics-related content with a focus on accuracy, clarity, and relevance. Identify inconsistencies, ambiguous reasoning, incomplete explanations, and scientific inaccuracies to support data quality. Interpret complex technical prompts, equations, datasets, and conceptual material using physics and data science expertise. • Assesses annotated information for correctness and meaningfulness • Performs scientific and technical content review for quality • Flags issues affecting consistency and completeness • Applies domain knowledge to interpret prompts and results

2025 - Present

Graduate Research Assistant, Kavli Institute for Particle Astrophysics and Cosmology

OtherText

Conduct Bayesian astrophysics research using Markov Chain Monte Carlo to analyze semi-analytic models. Develop and apply algorithms for analyzing large-scale astrophysical datasets and interpret resulting scientific data. Use machine learning methods to build a weak-lensing cluster-finding algorithm. • Performs MCMC-based Bayesian inference on astrophysical models • Implements data analysis algorithms for large datasets • Applies machine learning for cluster-finding in weak lensing • Produces research-quality documentation with visualization and technical writing

2007 - 2011

Education

Work History