About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Job Summary

We are looking for a detail-oriented Audio Annotator to listen to audio recordings and accurately label, transcribe, categorize, and review audio data. The role supports the development and improvement of speech recognition systems, voice assistants, AI models, and machine learning applications.

The ideal candidate should have strong listening skills, good language proficiency, attention to detail, and the ability to follow annotation guidelines carefully.

Key Responsibilities

• Listen to audio recordings and annotate them according to project guidelines.
• Transcribe speech accurately, including words, pauses, background noise, speaker changes, and unclear speech where required.
• Label audio segments based on categories such as speech, music, silence, noise, emotion, intent, or speaker identity.
• Identify and mark timestamps for specific audio events.
• Review and correct annotations for accuracy and consistency.
• Follow quality standards and project-specific instructions.
• Report unclear audio, technical issues, or guideline ambiguities to the team lead.
• Maintain confidentiality of sensitive or personal audio data.
• Meet daily or weekly productivity and accuracy targets.

Required Skills and Qualifications

• Good listening and comprehension skills.
• Strong command of the required language or dialect.
• Good typing and transcription skills.
• High attention to detail and accuracy.
• Ability to follow detailed instructions and annotation guidelines.
• Basic computer skills and familiarity with online tools.
• Ability to work independently and meet deadlines.
• Previous experience in transcription, data annotation, audio labeling, or quality review is preferred but not always required.

Offer Details:

• Commitments Required: at least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST.
• Engagement type: Contractor
• Engagement Length: 2 weeks

Evaluation Process -

• Shortlisted candidates will be sent a Job Interest Form.
• Based on the profile reviews, shortlisted candidates will be contacted to discuss the pre‑onboarding requirements