Wyatt C.

Key Skills

Software

No software listed

Top Subject Matter

Leveraged finance and private credit portfolio monitoring

Market research for real assets & leveraged finance client presentations

Top Data Types

Text

Video

Audio

Top Task Types

Text Summarization

Classification

Freelancer Overview

Over the past year, I've worked as a part-time AI training data evaluator, assessing AI-generated image pairs against a structured rubric covering instruction-following accuracy, visual quality, naturalness (how successfully the output avoids an "AI-generated" appearance), and overall preference. The role required disciplined application of evaluation criteria across a wide range of prompt types and subject matter, often distinguishing between outputs whose differences were subtle. I'm comfortable making consistent, defensible judgments at scale, documenting reasoning clearly, and adjusting calibration as rubric guidance evolves; skills that translate directly to the type of rater work Project Hedgehog involves. What sets me apart is the analytical rigor I bring from my finance and economics background at the University of Michigan, where coursework and internships in private credit, leveraged finance, and credit sales have trained me to evaluate evidence carefully, weigh competing factors, and communicate conclusions precisely. I'm detail-oriented, deadline-driven, and accustomed to high volume work where quality and consistency both matter.

Labeling Experience

Project Hedgehog (Handshake AI) - Annotator

ImageObject Detection

Contributed to Handshake AI's Project Hedgehog as an image annotator, producing high-quality object detection labels on a large, diverse image dataset spanning a wide range of subjects, scenes, and visual conditions. Responsibilities included drawing precise bounding boxes around designated target objects, applying the project's labeling taxonomy consistently across edge cases involving occlusion, overlap, low lighting, motion blur, and ambiguous category boundaries, and flagging items that fell outside guideline scope for reviewer adjudication. Worked through a high volume of tasks while maintaining strict adherence to evolving annotation guidelines, calibration updates, and rubric refinements issued throughout the project. Quality measures included alignment with gold standard reference items, inter-annotator agreement checks, multi-pass review cycles, and prompt incorporation of QA feedback to maintain accuracy and consistency at scale.

2025 - 2026

Education

Work History