Remote AI Specialist - Voice Evaluation Project
About the Role
We are looking for a Remote AI Specialist to join our Liverpool English voice evaluation project — a great entry point into ongoing work within one of our most active AI markets! This role offers practical exposure to AI evaluation workflows and contributes directly to improving how AI systems understand real spoken language.
What You'll Do
- Make scripted and unscripted calls with an AI agent, completing 10-15 conversations.
- Produce clear, natural speech following provided guidelines (each conversation lasts about 5 minutes).
- Test and validate the AI’s ability to understand and interpret speech, reporting any issues with intelligibility or misunderstanding (10-15 minutes per conversation).
- Participate in controlled calls with an AI agent to ensure accurate speech understanding and transcription quality.
- Complete a trial voice recording to verify accent and fluency.
Requirements
- Native-level fluency in Liverpool English (Scouse).
- Strong communication skills and comfort speaking clearly in various prompts and scenarios.
- AI Specialist background is highly preferred, but not mandatory.
- Experience with speech recording is an advantage.
- Must sign a consent form before beginning the project.
What We Offer
- Timely, reliable payments.
- Access to additional project opportunities through our TrainAI Community, where we regularly source contributors for similar tasks.
- A short, flexible engagement ideal for gaining practical exposure to AI evaluation workflows.
This Remote AI Specialist role offers a unique opportunity to work on voice evaluation projects, providing valuable experience in AI evaluation workflows. With flexible hours and competitive pay, it's an excellent entry point into the AI industry.
Who Will Succeed Here
Proficiency in AI evaluation techniques, particularly in voice recognition technologies such as CMU Sphinx or Google Speech-to-Text, enabling effective assessment of AI's understanding of spoken language.
Adaptable and self-motivated work style that thrives in a remote environment, demonstrating strong time management skills to handle scripted and unscripted voice evaluation tasks efficiently.
A foundational understanding of machine learning concepts and algorithms, coupled with a growth mindset to learn from feedback and improve evaluation processes over time.
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