Audio Engineer

Micro1; India; A distancia; INR 3.234.000 - 5.174.000; Jornada completa

Descripción de la vacante

Cashback24x7 is seeking an Audio Engineer contractor to support AI training pipelines. You will QA audio data, perform restoration, and annotate assets for machine learning projects, working independently in a remote setting with a distributed team.

The role emphasizes precise issue reporting in English, artifact detection, and contributing to data quality for high-standard AI systems. Prior AI labeling experience is a plus, with flexible collaboration across time zones.

Formación

• Proficient with high-end listening gear for critical evaluation.
• Clear written and spoken English for precise issue reporting.
• Strong understanding of audio QA processes and artifact detection.
• Experience with audio restoration, cleanup, and editing workflows.
• Ability to provide thorough, objective feedback for data improvement.
• Familiarity with data annotation and quality control for AI/media workflows.
• Self-motivated, detail-oriented, able to work remotely.

Responsabilidades

• Conduct quality assurance on audio recordings, documenting artifacts or anomalies.
• Assess severity of audio issues and categorize for AI model training.
• Perform audio cleanup/restoration to meet professional standards.
• Annotate audio/video data with concise notes to support ML development.
• Participate in labeling, review, and quality control for large datasets.
• Share best practices and insights with the distributed team.
• Collaborate with team; provide regular feedback to maintain high standards.

Conocimientos

Studio monitors

English communication

Audio QA

Audio restoration

Audio annotation

Data labeling

Independent work

Descripción del empleo

Job Title: Audio Engineer

Job Type: Contractor

Location: Remote (US and Canada)

Job Summary:

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.

Key Responsibilities:

• Conduct detailed quality assurance on audio recordings, identifying and documenting artifacts or anomalies.
• Assess the severity of audio issues and classify them accurately for AI model training use.
• Perform audio cleanup and restoration tasks, ensuring data meets professional standards.
• Annotate audio and video data with clear, concise notes to support AI/ML development.
• Participate in labeling, review, and quality control processes for large-scale datasets.
• Leverage your expertise in audio engineering to identify best practices and share insights with the team.
• Collaborate effectively with a distributed team, providing regular feedback and contributing to a culture of high standards.

Required Skills and Qualifications:

• Professional monitoring setup, including studio monitors or high-end headphones, suitable for critical listening tasks.
• Strong command of written and verbal English communication for precise issue reporting and team collaboration.
• Deep understanding of audio quality assurance processes and artifact detection methodologies.
• Experience with audio restoration, cleanup, and editing workflows using industry-standard tools.
• Ability to provide thorough, objective, and actionable feedback for audio data improvement.
• Familiarity with data annotation and quality control for AI or media workflows.
• Self-motivated, detail-oriented, and comfortable working independently in a remote environment.

Preferred Qualifications:

• Background in audio or video data labeling for machine learning or AI development.
• Experience collaborating in distributed audio engineering teams.
• Demonstrated ability to prioritize tasks and manage time effectively in a fast-paced setting.