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Data Annotation/ AI Labeling

Voice Recorder

Job in Clearwater, Pinellas County, Florida, 33755, USA
Listing for: RemoteJobsOne
Full Time position
Listed on 2026-10-03
Job specializations:
  • Language/Bilingual
    Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 30 - 65 USD Hourly USD 30.00 65.00 HOUR
Job Description & How to Apply Below

Pay: $30–$65/hr

Role

Title:

Voice Recorder (Japanese + English)

Role Type:
Contractor

Location:

Remote

We are engaging Japanese bilingual experts to contribute to a customer's audio project focused on advancing machine learning. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real‑world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work
  • Record yourself reading sentences in Japanese, either from a stationary car or a quiet office environment.
  • Create specific background noises (such as seatbelt clicks, door openings, or car indicator signals) while ensuring all audio is captured with the vehicle stationary and in a safe manner.
  • Follow detailed linguistic and technical guidelines to ensure consistency and reliability of language data.
  • Submit high-quality audio recordings and accompanying written feedback as required by the project.
  • Collaborate remotely with project coordinators on clarifications, updates, or feedback related to deliverables.
  • Ensure all recordings and data submissions comply with confidentiality and ethical use guidelines.
    • Preferred Qualifications
  • Native-level proficiency in Japanese, with clear enunciation and natural fluency.
  • Strong written and verbal communication skills in both Japanese and at least B2-level English.
  • Ability to follow precise instructions and meet project specifications for audio quality and content.
  • Comfort working independently in a remote setting and managing your own workflow for assigned tasks.
  • Attention to detail, especially regarding pronunciation, background noise, and data accuracy.
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