Negotiable
Undetermined
Remote
United Kingdom
Summary: The Audio Engineering Specialist role involves classifying audio artifacts and providing detailed annotations to enhance machine learning models. The position can be part-time or full-time, with a commitment of 10–40 hours per week, and is fully remote. Candidates should have a strong background in audio restoration and experience with annotation tools. Effective communication and attention to detail are essential for maintaining quality standards in audio data.
Key Responsibilities:
- Listen to short audio clips and classify audio artifacts such as noise, clipping, echo, misalignments, and compression-related issues.
- Produce precise annotations and detailed corrective feedback to support machine learning model improvement.
- Review and QA annotation work created by other contributors to ensure consistency and accuracy.
- Document edge cases with clear notes and illustrative examples to contribute to shared annotation guidelines.
- Collaborate with the training team to refine annotation procedures and improve inter-annotator agreement.
- Utilize and provide feedback on browser-based annotation tools and workflow optimizations.
- Maintain rigorous quality standards to ensure data integrity and effective communication.
Key Skills:
- Experience in audio annotation, descriptive captioning, transcription, podcast or audio editing, or audio QA.
- Strong background in audio restoration with proficiency in tools such as iZotope RX, Cedar Studio, Adobe Audition, or similar.
- Familiarity with audio engineering terminology and common recording or production faults.
- Experience using browser-based annotation tools and following structured workflows.
- Keen attention to subtle audio details and anomalies.
- Strong written and verbal communication skills with clarity in documentation.
- Detail-oriented and self-motivated with the ability to work independently in a remote environment.
- Experience with Ultra Descriptive Captioner or similar audio annotation projects.
- Background in professional audio engineering, audio captioning, or transcription review.
- Experience contributing to the development of annotation or QA guidelines.
Salary (Rate): £55.00/hr
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Position: Audio Engineering Specialist
Type: Part-time or Full-time, contract
Compensation: $25 - $55/hour
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities
- Listen to short audio clips and classify audio artifacts such as noise, clipping, echo, misalignments, and compression-related issues
- Produce precise annotations and detailed corrective feedback to support machine learning model improvement
- Review and QA annotation work created by other contributors to ensure consistency and accuracy
- Document edge cases with clear notes and illustrative examples to contribute to shared annotation guidelines
- Collaborate with the training team to refine annotation procedures and improve inter-annotator agreement
- Utilize and provide feedback on browser-based annotation tools and workflow optimizations
- Maintain rigorous quality standards to ensure data integrity and effective communication
Requirements
- Experience in audio annotation, descriptive captioning, transcription, podcast or audio editing, or audio QA
- Strong background in audio restoration with proficiency in tools such as iZotope RX, Cedar Studio, Adobe Audition, or similar
- Familiarity with audio engineering terminology and common recording or production faults
- Experience using browser-based annotation tools and following structured workflows
- Keen attention to subtle audio details and anomalies
- Strong written and verbal communication skills with clarity in documentation
- Detail-oriented and self-motivated with the ability to work independently in a remote environment
- Experience with Ultra Descriptive Captioner or similar audio annotation projects
- Background in professional audio engineering, audio captioning, or transcription review
- Experience contributing to the development of annotation or QA guidelines
Application Process (Takes 20 Mins)
- Upload resume
- Interview (15 min)
- Submit form