... audio classification • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow • Experience building or working with data labeling pipelines, annotation workflows, or active ...
... audio classification • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow • Experience building or working with data labeling pipelines, annotation workflows, or active ...
... audio classification • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow • Experience building or working with data labeling pipelines, annotation workflows, or active ...
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... audio classification • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow • Experience building or working with data labeling pipelines, annotation workflows, or active ...
... audio classification • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow • Experience building or working with data labeling pipelines, annotation workflows, or active ...
... audio classification • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow • Experience building or working with data labeling pipelines, annotation workflows, or active ...
Audio Annotation Job information
What is the difference between Audio Annotation Job vs Data Labeling Specialist?
| Aspect | Audio Annotation Job | Data Labeling Specialist |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote or office-based, focused on audio data | Remote or office-based, focused on various data types |
| Industry Usage | Speech recognition, voice assistants, audio AI | Various AI applications, including images, text, and audio |
Audio Annotation Jobs primarily involve labeling audio data for speech recognition and voice AI, requiring skills in listening and precise tagging. Data Labeling Specialists may work across multiple data types but share similar skills. While both roles involve data annotation, Audio Annotation Jobs focus specifically on audio content, making them distinct in industry applications and required skills.
What are popular job titles related to Audio Annotation Job jobs in Nevada? For Audio Annotation Job jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Audio Annotation Job jobs in Nevada look for? The top searched job categories for Audio Annotation Job jobs in Nevada are:
What cities in Nevada are hiring for Audio Annotation Job jobs? Cities in Nevada with the most Audio Annotation Job job openings:
Full-time
Posted 19 days ago
Job description
KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for an AI Engineer - Classifiers, Media Intelligence & Voice R&D that is fully remote.
Overview
This role focuses on building intelligent systems that power large-scale media understanding and organization. You will design, train, and deploy machine learning models that classify, tag, and structure complex datasets, while also contributing to research and development in emerging areas such as voice, audio, and image intelligence.
You'll play a key role in transforming unstructured media into meaningful, searchable, and scalable data, while helping shape the next generation of AI-driven product capabilities.
What You'll Do
• Design and deploy classification models to support content understanding, including style detection, quality scoring, filtering, moderation, and semantic categorization
• Build automated tagging and organization systems that enable efficient media management, search, and discovery
• Develop and maintain training data pipelines, including dataset curation, annotation workflows, and active learning loops
• Research and prototype advanced image intelligence capabilities such as pose estimation, visual similarity, and feature extraction
• Lead experimentation in AI voice and audio technologies, including text-to-speech, voice cloning, and audio synthesis, and help transition research into production-ready systems
• Create evaluation frameworks to measure model performance, accuracy, and drift over time
• Optimize model inference pipelines for performance and cost efficiency through batching, caching, and model optimization techniques
• Integrate ML models into production systems, exposing them through APIs and ensuring reliability at scale
What We're Looking For
• 3+ years of experience building and deploying machine learning models in production environments
• Hands-on experience training models, including dataset preparation, architecture experimentation, hyperparameter tuning, and debugging
• Strong background in computer vision or image classification (e.g., CNNs, vision transformers, CLIP)
• Experience or strong interest in voice and audio AI, such as speech synthesis, voice cloning, or audio classification
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
• Experience building or working with data labeling pipelines, annotation workflows, or active learning systems
• Understanding of production model serving, including API integration, latency optimization, and monitoring for model drift
• Familiarity with embedding-based systems, vector search, or semantic similarity techniques
Nice to Have
• Experience with generative models such as diffusion models, GANs, or generative audio systems
• Background in optimizing models using tools like ONNX or TensorRT
• Exposure to research environments or published work in machine learning or AI
Technology Stack
• Python, PyTorch
• GPU-based compute environments
• REST and webhook APIs
• TypeScript (for integration with backend services)
• PostgreSQL (metadata and labeling systems), Redis
• Workflow orchestration tools (e.g., Temporal)
Job Requirements
Compensation depends on experience but is typically 155k - 175k DOE
ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.
Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.
Overview
This role focuses on building intelligent systems that power large-scale media understanding and organization. You will design, train, and deploy machine learning models that classify, tag, and structure complex datasets, while also contributing to research and development in emerging areas such as voice, audio, and image intelligence.
You'll play a key role in transforming unstructured media into meaningful, searchable, and scalable data, while helping shape the next generation of AI-driven product capabilities.
What You'll Do
• Design and deploy classification models to support content understanding, including style detection, quality scoring, filtering, moderation, and semantic categorization
• Build automated tagging and organization systems that enable efficient media management, search, and discovery
• Develop and maintain training data pipelines, including dataset curation, annotation workflows, and active learning loops
• Research and prototype advanced image intelligence capabilities such as pose estimation, visual similarity, and feature extraction
• Lead experimentation in AI voice and audio technologies, including text-to-speech, voice cloning, and audio synthesis, and help transition research into production-ready systems
• Create evaluation frameworks to measure model performance, accuracy, and drift over time
• Optimize model inference pipelines for performance and cost efficiency through batching, caching, and model optimization techniques
• Integrate ML models into production systems, exposing them through APIs and ensuring reliability at scale
What We're Looking For
• 3+ years of experience building and deploying machine learning models in production environments
• Hands-on experience training models, including dataset preparation, architecture experimentation, hyperparameter tuning, and debugging
• Strong background in computer vision or image classification (e.g., CNNs, vision transformers, CLIP)
• Experience or strong interest in voice and audio AI, such as speech synthesis, voice cloning, or audio classification
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
• Experience building or working with data labeling pipelines, annotation workflows, or active learning systems
• Understanding of production model serving, including API integration, latency optimization, and monitoring for model drift
• Familiarity with embedding-based systems, vector search, or semantic similarity techniques
Nice to Have
• Experience with generative models such as diffusion models, GANs, or generative audio systems
• Background in optimizing models using tools like ONNX or TensorRT
• Exposure to research environments or published work in machine learning or AI
Technology Stack
• Python, PyTorch
• GPU-based compute environments
• REST and webhook APIs
• TypeScript (for integration with backend services)
• PostgreSQL (metadata and labeling systems), Redis
• Workflow orchestration tools (e.g., Temporal)
Job Requirements
Compensation depends on experience but is typically 155k - 175k DOE
ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.
Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.
About KORE1 Staffing & Recruiting
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
201 - 500 Employees
Headquarters location
Irvine, CA, US