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
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.
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