... remote. Overview This role focuses on building intelligent systems that power large-scale media ... image intelligence. You'll play a key role in transforming unstructured media into meaningful ...
... remote. Overview This role focuses on building intelligent systems that power large-scale media ... image intelligence. You'll play a key role in transforming unstructured media into meaningful ...
... remote. Overview This role focuses on building intelligent systems that power large-scale media ... image intelligence. You'll play a key role in transforming unstructured media into meaningful ...
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... remote. Overview This role focuses on building intelligent systems that power large-scale media ... image intelligence. You'll play a key role in transforming unstructured media into meaningful ...
Image Labeling Remote information
What is image labeling in a remote job?
What is the difference between Image Labeling Remote vs Data Annotation Specialist?
| Aspect | Image Labeling Remote | Data Annotation Specialist |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote, flexible hours | Remote or on-site, flexible hours |
| Industry Usage | AI, machine learning, computer vision | AI, machine learning, data processing |
| Search & Comparison Intent | Often compared for similar data labeling roles | Related role in data preparation |
Image Labeling Remote and Data Annotation Specialist roles both involve preparing data for AI systems, often working remotely with similar skills. However, Image Labeling Remote typically focuses specifically on labeling images and visual data, while Data Annotation Specialist may include a broader range of data types like text or audio. Both roles are essential in AI development and share similar work environments and skill requirements.
What are the key skills and qualifications needed to thrive as an Image Labeling Remote worker, and why are they important?
What are some common challenges faced by remote image labeling professionals, and how can they be managed?
AI Engineer Classifiers, Media Intelligence & Voice R&D
KORE1 TechnologiesLas Vegas, NV • On-site, Remote
Contractor
Posted 27 days ago
Job description
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)
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.
About KORE1 Staffing & Recruiting
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
201 - 500 Employees
Headquarters location
Irvine, CA, US