Data Architect / Data Modeler - P&C InsuranceLOCATION
Role details
Job location
Tech stack
Job description
Hiring on behalf of our client, a global data and technology solutions company that partners with enterprises to power data-driven transformation. With deep expertise across data analytics, AI enablement, content solutions, and digital operations, the organization supports leading technology companies in building and training next-generation AI systems. The company works with large-scale datasets across industries and focuses on delivering high-quality data annotation, curation, and analytics services that enable advanced machine learning and generative AI applications.About the RoleThe Music Annotator will support AI training initiatives by evaluating and describing musical audio with a high level of precision and consistency. The role involves performing structured listening tasks and creating detailed written descriptions of music tracks, capturing aspects such as composition, instrumentation, sonic textures, and overall mood. Working remotely, the analyst will annotate audio at scale
Requirements
while maintaining strict quality and metadata standards required for machine learning datasets. This position requires strong listening skills, the ability to articulate musical elements clearly in writing, and the discipline to work efficiently within defined productivity targets. The role also involves identifying ambiguities or edge cases in audio data and providing feedback that helps refine annotation guidelines and improve model training quality.Skills and Experience RequiredMinimum 2+ years of experience in roles such as audio annotation, music journalism, audio quality analysis, or related analytical workStrong listening ability with a clear understanding of musical structure, instrumentation, sound design, and production elements across diverse genresAbility to write clear, detailed, and structured descriptions of music, capturing sonic characteristics and emotional toneExperience working with annotation platforms, spreadsheets, or content management systems for data labeling or evaluation tasksHigh level of accuracy and attention to detail, particularly when handling metadata, tagging, and documentationCapability to maintain consistent productivity while reviewing audio tracks and producing long-form written outputsStrong written communication skills with the ability to convert listening impressions into precise, well-structured narrative descriptionsComfortable working in a fully remote environment with reliable equipment and headphones suitable for extended listening sessionsAbility to identify and report anomalies, unclear audio cues, or guideline gaps during the annotation processPreferred QualificationsAcademic or professional background in music theory, ethnomusicology, or audio engineeringExposure to AI, machine learning datasets, generative audio systems, or recommendation enginesBasic familiarity with data tools such as SQL, Python, or automation scripts for reporting or quality checksUnderstanding of content sensitivity and data governance practices in, Job Description You could be just the right applicant for this job Read all associated information and make sure to apply. Accounts Semi Senior Music and Entertainment Industry London TPF Recruitment are seeking a highly motivated and detail-oriented Accounts Semi..., Location - London (22 Bishopsgate, City of London, London EC2N 4A)Work Model - Hybrid.We are seeking in the Quality Control Editor with 1-3 years' experience in the Maps POI editing. The ideal candidate will possess expertise in QA/QC and technological knowhow of online...
Benefits & conditions
Role - Data & Analytics Practice Sales DirectorTechnology - Sales and Client Relationship ManagementLocation - UK, GermanyCompensation - Competitive (including bonus)If you are interested in being part of a learning culture, where teamwork and collaboration are encouraged,...
