AI Trainer / Audio Data Labeler

Location: Remote, Global

Type: Part-time Contract Work

Fluent Language Skills Required: English

Why This Role Exists

Neon partners with leading AI teams to improve the quality, usefulness, and reliability of audio-based AI systems.

Our projects focus on evaluating and improving transcriptions of audio recordings generated by large language models (LLMs). You will assess model-generated transcriptions across diverse topics and provide high-quality human feedback.

What You’ll Do

• Evaluate LLM-generated transcriptions on their ability to effectively understand conversations from an audio recording.

• Generate high-quality human annotations to correct model-generated transcripts,

• Apply consistent annotations by following clear taxonomies and detailed evaluation guidelines.

Who You Are

• You hold a Bachelor’s degree or equivalent experience

• You are a native speaker or have ILR 5/primary fluency (C2 on the CEFR scale) in English

• You have experience using large language models (LLMs) and understand how and why people use them

• You have excellent writing skills and can clearly articulate nuanced feedback

• You have strong attention to detail and consistently notice subtle issues others may overlook

• You are adaptable and comfortable moving across topics, domains, and customer requirements

Nice-to-Have Specialties

• Prior experience with audio data annotation, RLHF, or other data annotation work

• Experience comparing multiple outputs and making fine-grained qualitative judgments

Contract and Payment Terms

• You will be engaged as an independent contractor.

• This is a fully remote role that can be completed on your own schedule.

• Projects can be extended, shortened, or concluded early depending on needs and performance.

• Your work at Neon will not involve access to confidential or proprietary information from any employer, client, or institution.

• Payments are weekly based on services rendered.