Crowd Workers — Bilingual

Job Title: Crowd Workers — Bilingual

Job Type: Contractor

Location: Remote

Job Summary:

Join our customer's team as a Crowd Worker — Bilingual, where your linguistic expertise will help power cutting-edge language technology. In this dynamic remote role, you will use your native accent authenticity and precision in audio tasks to support the development of next-generation language products. Apply your structured approach and attention to detail to consistently deliver high-quality audio recordings across multiple sessions.

Key Responsibilities:

• Perform structured prompt recording in one or more native languages with accent authenticity and consistency.
• Capture self-directed audio samples according to detailed project guidelines and quality standards.
• Maintain consistent and clear pronunciation, tone, and accent across multiple sessions and assignments.
• Review, self-check, and ensure all submitted audio files meet established criteria for clarity and accuracy.
• Collaborate with project managers and fellow crowd workers to resolve questions and improve processes.
• Adhere to specified deadlines and production targets while upholding quality benchmarks.
• Communicate effectively via written and verbal channels to document progress and share feedback.

Required Skills and Qualifications:

• Native-level fluency in at least two languages with authentic accent and pronunciation.
• Demonstrated experience in structured audio recording or speech data annotation.
• Ability to follow complex instructions and audio guidelines independently.
• Strong commitment to accent consistency and audio quality across all submissions.
• Exceptional written and verbal communication skills for status updates and feedback sharing.
• Meticulous attention to detail and quality control in every session.
• Self-motivated, disciplined, and reliable in a fully remote work environment.

Preferred Qualifications:

• Previous experience as an expert crowd worker in linguistic or speech data projects.
• Technical familiarity with audio editing or voice recording tools.
• Prior exposure to multilingual AI, speech recognition, or localization projects.