Negotiable
Undetermined
Remote
United Kingdom
Summary: The Audio Engineering Specialist role is a part-time position focused on classifying audio artifacts and providing detailed annotations to enhance machine learning models. The specialist will also review the work of other contributors and collaborate with the training team to refine annotation procedures. This remote role requires a strong background in audio restoration and familiarity with various audio editing tools. Attention to detail and effective communication skills are essential for maintaining quality standards and documentation.
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
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