Remote British English Voice Recording Specialist in Stockport

Remote British English Voice Recording Specialist in Stockport

Stockport Full-Time 25000 - 35000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Record high-quality British English audio for AI and machine learning projects.
  • Company: Join OpsArmy, a leader in innovative tech solutions.
  • Benefits: Flexible remote work, competitive pay, and opportunities for skill development.
  • Other info: Ideal for linguistics enthusiasts looking for flexible work.
  • Why this job: Make your voice heard while contributing to cutting-edge technology.
  • Qualifications: Expertise in British English and excellent pronunciation skills required.

The predicted salary is between 25000 - 35000 Β£ per year.

OpsArmy is looking for a British English Voice Recording Specialist to support AI and machine learning projects by delivering high-quality voice recordings. Applicants should have expertise in British English with excellent pronunciation skills. The role involves adhering to project guidelines and producing clear, natural audio recordings. Ideal candidates will have a background in linguistics or English instruction, as well as the ability to work independently and meet deadlines.

Remote British English Voice Recording Specialist in Stockport employer: OpsArmy

OpsArmy is an exceptional employer that values creativity and independence, offering a flexible remote work environment for its Voice Recording Specialists. With a strong focus on employee growth, the company provides opportunities for professional development in the rapidly evolving fields of AI and machine learning, all while fostering a collaborative and supportive culture that encourages innovation and excellence.

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Contact Details:

OpsArmy Recruitment Team

We think you need these skills to ace Remote British English Voice Recording Specialist in Stockport

British English Proficiency
Pronunciation Skills
Audio Recording
Adherence to Project Guidelines
Clear Communication
Natural Voice Quality
Linguistics Background