English Voice Coach

Job Summary: We are looking for native English speakers from Ireland, Australia, and the United Kingdom to support an AI training project focused on evaluating English audio recordings. In this role, you will use your knowledge of natural speech, pronunciation, accents, and language to assess audio quality and provide accurate feedback.

Key Responsibilities:

1. Listen to and evaluate short English audio recordings.
2. Assess whether speech sounds natural and native to the speaker's target accent or region.
3. Evaluate pronunciation, accent, fluency, tone, and natural speech patterns.
4. Identify inconsistencies or unnatural elements in spoken English.
5. Provide clear and structured feedback on audio recordings.
6. Follow project guidelines and maintain accuracy and consistency.

Required Skills and Qualifications:

1. Native-level English proficiency with strong knowledge of your native/regional English accent.
2. Strong understanding of pronunciation and natural speech patterns.
3. Excellent listening and analytical skills.
4. Strong attention to detail.
5. Ability to provide clear written feedback in English.
6. Comfortable working independently in a remote environment.

Preferred Qualifications:

1. Experience in voice coaching, voice-over, or speech analysis.
2. Background in music, audio engineering, or sound production.
3. Experience in linguistics, phonetics, language teaching, media, or communications.
4. Previous experience analyzing or evaluating speech/audio recordings is a plus.

About micro1

micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.