Quality Control Specialist for AI Language Project
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Job Description
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What You Will Do
Review completed Display Transcription tasks for accuracy and consistency.
- Compare the Display Transcription against the original lexical transcript and project guidelines.
- Verify the correct use of:
- punctuation;
- capitalization;
- numbers, dates, times, and currencies;
- abbreviations and other text normalization rules.
- Ensure that the original words and meaning have been preserved.
- Identify and correct formatting or guideline-related errors.
- Use the reference audio when necessary to verify ambiguous cases.
- Apply project-specific quality standards consistently.
- Provide accurate feedback and flag recurring issues when required.
- Complete assigned QC tasks within project deadlines and productivity targets.
Requirements
- Excellent written skills in the target language.
- Strong attention to detail and accuracy.
- Good understanding of punctuation, capitalization, and written language conventions.
- Ability to identify inconsistencies and errors in formatted text.
- Ability to follow detailed guidelines and apply them consistently.
- Basic computer skills and a reliable internet connection.
- Ability to work independently and meet quality and productivity targets.
- Previous experience in transcription, proofreading, quality control, annotation, or linguistic projects is a plus.
- Training and project guidelines will be provided before the project starts.
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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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