AI Engineer – Classifiers, Media Intelligence, Voice R&D

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🕒 April 10

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WOW Remote Teams

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2021

🤝 B2B

🛍️ eCommerce

🎯 Recruiter

B2B • eCommerce • Recruitment

WOW Remote Teams is a company that connects businesses with top-tier virtual professionals from Latin America, including virtual assistants, digital marketers, software developers, graphic designers, and more. Their services aim to help organizations save on salary expenses while providing quality talent that is bilingual and pre-vetted. With a focus on rapid hiring processes, clients can receive candidate matches within just three days, making WOW Remote Teams a cost-effective solution for scaling teams efficiently.

📋 Description

• Design, train, and deploy classification models for content pipeline, including style detection, quality scoring, content moderation, filtering, and semantic categorization of generated media. • Develop and maintain automated tagging and organization systems for the media library: extracting attributes, detecting visual features, clustering similar content, and enabling intelligent search. • Build and optimize training data pipelines: create annotation tooling, curate datasets, establish active learning loops, and ensure high-quality labeled data. • Lead R&D into AI voice and audio generation, including voice cloning, text-to-speech, and audio synthesis; prototype integrations and create a production-ready pathway from research to features. • Research and prototype image intelligence technologies such as face/body analysis, pose estimation, style transfer, and image-to-image consistency. • Develop evaluation frameworks to measure the accuracy of classifiers, the quality of generation models, and model drift over time. • Optimize inference pipelines for performance, cost, and latency—incorporating batching, quantization, caching, and model serving strategies. • Integrate with GPU compute infrastructure and deliver models via production APIs.

🎯 Requirements

• 3+ years of experience building and deploying machine learning models in production, particularly in classification, tagging, or content understanding. • Hands-on experience with model training, including dataset curation, experimenting with architectures, tuning hyperparameters, and debugging. • Strong background in image classification and computer vision techniques (e.g., CNNs, vision transformers, CLIP). • Experience or demonstrated interest in voice/audio AI (e.g., text-to-speech, voice cloning, audio classification). • Proficiency in Python, with experience in PyTorch or TensorFlow. • Experience with building data labeling pipelines, annotation workflows, or active learning systems. • Understanding of model serving in production environments, including REST APIs and latency optimization.

🏖️ Benefits

• 100% remote, full-time role. • Flexible work hours. • Competitive salary and comprehensive benefits package. • Opportunity for career advancement and personal development. • Work on high-impact projects with cutting-edge AI technologies.