Audio Transcription Reviewer (Annotator)

Accountabilities • Listen carefully to short audio recordings in  US English  and assess their clarity and accuracy.

• Review and correct word-level timestamps and segment boundaries produced by an automated alignment system.

• Verify and edit spoken-form transcriptions according to detailed project style guides and annotation instructions.

• Identify ambiguous, unclear, or difficult-to-interpret audio segments and flag them for further adjudication.

• Maintain a consistently high level of accuracy across assigned batches and follow established quality standards.

• Apply annotation rules consistently while paying close attention to timing, wording, and contextual accuracy.

• Complete assigned work reliably within project expectations and communicate issues when clarification or support is required.

Requirements

• Strong  English (US) listening comprehension  and familiarity with US cultural and linguistic conventions.

• Previous experience in  transcription, audio annotation, data labeling, linguistic review, or similar work  is preferred.

• Excellent attention to detail, particularly when reviewing precise word-level timestamps and segment boundaries.

• Ability to understand and consistently apply detailed style guides, annotation instructions, and quality requirements.

• Strong written and verbal communication skills and the ability to work independently.

• Reliable and disciplined approach to freelance, project-based work.

• A stable, high-speed internet connection, a quiet working environment, and good-quality headphones.

• Availability to contribute approximately  15–20 hours per week .

Benefits

• Freelance, fully remote  opportunity accessible from India.

• Flexible, project-based work that allows you to choose when and how much you contribute within project requirements.

• USD 4.55 per hour  pay rate.

• Opportunity to contribute to AI data projects that improve the accuracy, relevance, and inclusiveness of speech technologies.

• Access to optional AI and large language model workshops designed for professionals, with no coding experience required.

• Connection to a global contributor community with ongoing guidance and support.

• Opportunity to build practical experience in AI data annotation and expand your professional skills.

• Project start date:  September 7, 2026 .

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1