Job Description
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We are looking for an Audio Quality Control Specialist to review and validate recorded audio files against strict technical and project-specific quality requirements.
The role focuses on the technical analysis and quality control of audio recordings, including checking audio levels, noise, frequency characteristics, file specifications, and recording duration. The successful candidate will use Adobe Audition to assess recordings and approve compliant audio hours for delivery to the client.
This is a remote, volume-based role, with the workload depending on the actual number of audio hours received.
Key Responsibilities
- Review recorded audio files for technical quality and compliance with project requirements.
- Analyze recordings for:
- Noise floor
- Signal-to-noise ratio (SNR)
- RMS levels
- LUFS / loudness
- Peak levels
- Clipping and distortion
- Frequency spectrum
- Verify that recordings meet the required technical specifications:
- 48 kHz sample rate
- 24-bit depth
- Mono WAV format
- Identify technical issues and flag recordings that do not meet the required quality standards.
- Perform detailed audio analysis using Adobe Audition.
- Verify the quality, completeness, and duration of processed recording hours.
- Maintain accurate QC records and quality reports.
- Track and report recurring technical issues or patterns affecting recording quality.
- Approve compliant recording hours for further processing and delivery to the client.
- Process audio based on the actual volume of recordings received.
Key Requirements
- Hands-on experience with Adobe Audition.
- Practical experience in professional audio recording, editing, or quality control.
- Strong understanding of audio technical parameters and quality standards.
- Ability to analyze and interpret:
- RMS
- LUFS
- SNR
- Peak levels
- Frequency spectrum
- Noise floor
- Clipping
- Strong attention to detail and accuracy.
- Ability to work with strict technical specifications and quality criteria.
- Good organizational skills and ability to maintain clear QC records.
- Ability to work independently in a remote environment.
- Comfortable working with varying volumes of audio depending on project needs.
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TSMG is a premier, enterprise-grade AI infrastructure and data-science powerhouse engineered to orchestrate massive-scale intelligence ecosystems and intelligent, frictionless computational-execution workflows. Operating as a tech-enabled "intelligence-as-a-service" hub, the company eliminates the operational friction of traditional, legacy data-processing models—which frequently suffer from compute-resource fragmentation, opaque model-optimization logic, and disconnected AI-deployment pipelines—by seamlessly deploying advanced "High-Performance Computing" (HPC) telemetry, rigorous algorithm-acceleration architectures, and cohesive cross-stack integration frameworks. Moving beyond rigid legacy cloud-computing paradigms, TSMG empowers global engineering organizations and AI researchers to dynamically synchronize their neural-network training, real-time inference, and large-scale data-ingestion pipelines with elite, scalable, and audit-ready execution. Under the hood, their sophisticated proprietary operational infrastructure—bolstered by deep domain-expertise in AI-hardware acceleration—natively manages complex global multi-region resource ingestion, instantaneous automated architectural-optimization, and secure, compliance-hardened deployment workflows, providing the necessary operational foundation to support the modern, high-velocity AI-driven economy. What sets TSMG apart is its uncompromising dedication to frictionless infrastructure-orchestration; by bridging the gap between highly technical, performance-intensive compute demands and accessible, high-velocity developer-centric interfaces, the firm empowers modern commercial organizations to radically accelerate their model-to-market velocity, eliminate systemic infrastructure-bottlenecks, and build an unassailable foundation for continuous commercial and institutional dominance in the modern, AI-transformed global-technology landscape.
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