Automation & AI Developer (TikTok / Spotify – ADB Phone Farm Project) -- 2

Заказчик: AI | Опубликовано: 24.09.2025
Бюджет: 250 $

Project Description: Budget: $250 Time to complete the project : 2 weeks We are seeking an experienced Automation & AI Developer to design and implement advanced scripts for TikTok and Spotify, specifically tailored for a box/phone farm setup using ADB. The goal is to create intelligent automation solutions capable of interacting with multiple devices simultaneously while leveraging AI models to ensure human-like, smart, and undetectable behavior. Responsibilities: - Develop automation scripts for Android devices in a phone farm environment (via ADB, emulators, or physical devices). - Integrate AI/ML modules for content analysis: - Computer Vision (analyzing TikTok images/videos). - NLP (analyzing text, comments, titles, and Spotify playlists). - Decision-making algorithms to simulate human-like behavior. - Optimize scripts for realistic actions and anti-detection in a multi-device setup. - Build modular architectures for flexible actions (likes, follows, comments, playlist additions, skips, etc.) across multiple devices. - Monitor and adapt to changes in TikTok and Spotify (UI/UX updates, detection systems, restrictions). Required Skills: - Strong proficiency in Python (Node.js or Java is a plus). - Experience with ADB and phone farm automation (emulators like Bluestacks, Genymotion, or real devices). - Solid background in AI/ML: - Computer Vision (OpenCV, TensorFlow, PyTorch). - Natural Language Processing (NLTK, spaCy, Transformers). - Knowledge of APIs (official or reverse-engineered) and mobile app automation. - Ability to develop robust, scalable, and stealthy scripts for multiple devices. - Awareness of cybersecurity and anti-detection techniques (fingerprinting, human-like behavior). Ideal Candidate: - Independent, creative, and resourceful developer. - Proven experience in advanced automation setups and applied AI. - Strong problem-solving skills with discretion regarding sensitive projects.