Hungarian Voice Actor

Agency; United States; Remote; USD 40,000 - 60,000; Full time

Job summary

Agency in the United States is seeking a contributor with fluent Hungarian and professional voice acting experience to support AI training data. The role involves recording scripted material, evaluating AI outputs for linguistic naturalness, and annotating speech errors for model refinement.

You'll collaborate with the team to refine prompts, evaluation methods, and voice design guidelines, while providing expert feedback on pronunciation, tone, pacing, and emotional expression.

Qualifications

• Fluent Hungarian language skills required for accurate evaluation and annotation.
• Professional background in voice acting, dubbing, or narration is preferred.
• Strong listening, pronunciation, and expressive communication abilities.

Responsibilities

• Record scripted material for AI training with clear, professional delivery.
• Assess AI-generated outputs for linguistic accuracy and naturalness.
• Annotate errors in speech samples to guide model improvements.
• Collaborate with team to refine prompts, evaluation methods, and voice design guidelines.
• Provide expert feedback on pronunciation, tone, pacing, and emotional expression.

Skills

Hungarian fluency

Voice acting experience

Job description

Responsibilities

• Record scripted material for AI training
• Assess AI-generated outputs for linguistic accuracy and naturalness
• Annotate errors in speech samples
• Collaborate with the team to refine prompts, evaluation methods, and voice design guidelines
• Provide expert feedback on pronunciation, tone, pacing, and emotional expression

Requirements

• Fluency in Hungarian
• Demonstrated experience in professional voice acting, dubbing, or narration
• High-quality recording setup including a reliable microphone and quiet environment
• Secure computer and stable internet connection

Preferred Qualifications

• Experience in training, coaching, or linguistic annotation

About the Company

This project focuses on developing high-quality training data to help large-scale language models and speech technologies deliver more natural, accurate, and engaging voice experiences.