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Michelle Cox

Michelle Cox

Project Management and Voice Recording

USA flagRedmond, Usa
$20.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

Conversational AI
Project Management
Process Optimization

Top Data Types

AudioAudio
TextText
DocumentDocument

Top Task Types

Audio Recording

Freelancer Overview

I currently generate high-quality speech data for conversational AI and LLM training by participating in remote, multi-speaker audio recording sessions, while ensuring clear (24-bit/96 kHz) audio, natural dialogue patterns, overlapping speech samples, and compliance with technical recording standards. I have produced LLM training audio files for WorkBolt AI and am familiar with annotation. I've spent many years in tech, most recently at Microsoft. Education includes Bachelor of Science, Stanford University. AI-training focus includes data types such as Audio and labeling workflows including Audio Recording.

Entry LevelEnglish

Labeling Experience

Contract AI Data Partner – Speech Data Collection and Audio Recording

OtherAudioAudio Recording
Generated high-quality speech data by participating in remote, multi-speaker audio recording sessions for conversational AI and LLM training projects. Ensured technical specification compliance, including 24-bit/96 kHz clarity and natural dialogue, to create diverse datasets suitable for machine learning applications. Managed session logistics and contributed to the collection of overlapping speech samples optimized for training advanced language models. • Collaborated with other participants to simulate realistic conversational scenarios. • Adhered strictly to technical and privacy standards required for AI audio data. • Focused on producing varied accents, speech patterns, and overlap naturally. • Delivered high-quality recordings on time within specified project windows.

Generated high-quality speech data by participating in remote, multi-speaker audio recording sessions for conversational AI and LLM training projects. Ensured technical specification compliance, including 24-bit/96 kHz clarity and natural dialogue, to create diverse datasets suitable for machine learning applications. Managed session logistics and contributed to the collection of overlapping speech samples optimized for training advanced language models. • Collaborated with other participants to simulate realistic conversational scenarios. • Adhered strictly to technical and privacy standards required for AI audio data. • Focused on producing varied accents, speech patterns, and overlap naturally. • Delivered high-quality recordings on time within specified project windows.

2024 - Present

Education

S

Stanford University

Bachelor of Science, Mechanical Engineering

Bachelor of Science
Not specified

Work History

M

Microsoft

Senior Manager, Partner Enablement

Redmond
2022 - 2024
M

Microsoft

Senior Manager, Azure Subscription Programs

Redmond
2020 - 2022