Wyatt Oberholzer

Key Skills

Software

Mercor

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Top Label Types

Prompt Response Writing SFT

Freelancer Overview

I have extensive experience in organizing, creating, and managing large-scale audio and multimedia data assets for interactive projects, which has given me a strong foundation in data labeling and annotation workflows. My background as an audio director and sound designer required meticulous asset tracking, documentation, and the implementation of adaptive audio systems—skills that translate directly to maintaining data quality and consistency in AI training datasets. I am highly proficient with tools such as FMOD, Unity, Perforce, and Github, and have managed complex asset libraries, ensuring accurate categorization, version control, and workflow optimization. My collaborative work with cross-functional teams and detailed feedback integration have honed my ability to support data annotation projects in fast-paced, iterative environments. I am motivated by problem-solving and am committed to delivering high-quality, well-organized datasets that support robust AI and machine learning applications.

Labeling Experience

Music Director and Composer, AI Training Asset Creation

MercorAudioPrompt Response Writing SFT

As Music Director and Composer at Mercor, I led the design and delivery of original music assets to support machine learning model training for an AI client. I established creative and quality standards, supervised the end-to-end workflow, and ensured consistency in data curation and formatting. My role required translating creative briefs into structured, production-quality audio datasets for use in generative AI model development. • Defined music style, structure, and annotations for training datasets. • Created documentation and specifications to support consistent model output. • Produced and labeled music to fulfill machine-generated requirements. • Collaborated with peers to maintain data quality and adherence to AI training protocols.

As Music Director and Composer at Mercor, I led the design and delivery of original music assets to support machine learning model training for an AI client. I established creative and quality standards, supervised the end-to-end workflow, and ensured consistency in data curation and formatting. My role required translating creative briefs into structured, production-quality audio datasets for use in generative AI model development. • Defined music style, structure, and annotations for training datasets. • Created documentation and specifications to support consistent model output. • Produced and labeled music to fulfill machine-generated requirements. • Collaborated with peers to maintain data quality and adherence to AI training protocols.

2025

Education

Work History