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R

Risto Miettinen

AI Audio Specialist & Annotator | Project Hedgehog & Horizon

USA flagLos Angeles, Usa
$50.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

Audio Engineering
Generative AI
Music Production

Top Data Types

AudioAudio

Top Task Types

RLHF

Freelancer Overview

AI Audio Specialist & Annotator | Project Hedgehog & Horizon. Brings 18+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Arts, University of Westminster. AI-training focus includes data types such as Audio and labeling workflows including RLHF.

Entry LevelEnglishFinnish

Labeling Experience

AI Audio Specialist & Annotator | Project Hedgehog & Horizon

AudioRLHF
In this role, I specialized in training and evaluating advanced language models to improve their performance in audio engineering, music generation, and workflow comprehension. I provided structured feedback through Reinforcement Learning from Human Feedback (RLHF) by critiquing AI-generated music and documenting error traces. I enhanced model transparency by writing detailed metacognitive reasoning to explain technical corrections to audio outputs. • Evaluated generative audio samples for spectral integrity and phase coherence. • Authored 'Chain-of-Thought' documentation for audio corrections and workflow logic. • Improved LLM hardening by providing reproducible feedback on EQ, compression, and spatial audio tasks. • Focused on increasing dataset quality for reinforcement learning targeting music, sound design, and DAW-based workflows.

In this role, I specialized in training and evaluating advanced language models to improve their performance in audio engineering, music generation, and workflow comprehension. I provided structured feedback through Reinforcement Learning from Human Feedback (RLHF) by critiquing AI-generated music and documenting error traces. I enhanced model transparency by writing detailed metacognitive reasoning to explain technical corrections to audio outputs. • Evaluated generative audio samples for spectral integrity and phase coherence. • Authored 'Chain-of-Thought' documentation for audio corrections and workflow logic. • Improved LLM hardening by providing reproducible feedback on EQ, compression, and spatial audio tasks. • Focused on increasing dataset quality for reinforcement learning targeting music, sound design, and DAW-based workflows.

2025 - 2026

Education

U

University of Westminster

Bachelor of Arts, Commercial Music

Bachelor of Arts
Not specified

Work History

E

Electronic Arts

Audio Lead, Composer, and Synthesizer Programmer

Los Angeles
2009 - Present