AI Trainer / Audio Data Labeler - Remote

Overview

This role involves evaluating and improving transcriptions of audio recordings generated by large language models (LLMs) to enhance the quality and reliability of audio-based AI systems.

In Short

• Evaluate LLM-generated transcriptions for understanding audio conversations.
• Generate high-quality human annotations to correct transcripts.
• Follow clear taxonomies and evaluation guidelines for consistent annotations.
• Engage as an independent contractor with flexible scheduling.
• Projects can vary in length depending on needs and performance.
• Payments are made weekly based on services rendered.

Requirements

• Bachelor’s degree or equivalent experience.
• Native English speaker or ILR 5/CEFR C2 proficiency.
• Experience using large language models (LLMs).
• Excellent writing skills for nuanced feedback.
• Strong attention to detail.
• Adaptable across various topics and customer requirements.

Benefits

• Fully remote role with flexible hours.
• Opportunity to work on diverse projects.
• Engagement as an independent contractor.
• Potential for project extensions based on performance.