Multi-Dialect Data Collection
Appen
Audio
Data CollectionCollected 500+ hours of high-quality, diverse speech data for voice recognition training
2025 - 2025
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M
Mohamed
Agency
Cairo, EgyptKey Skills
Software
Appen
iMerit
OneForma
TelusOther
Top Subject Matter
No subject matter listed
Top Data Types
ImageAudio
DocumentTop Task Types
Segmentation
Bounding Box
Entity (NER) ClassificationCompany Overview
We are interested in collaborating with you as a professional vendor. I lead a dedicated team of 300 skilled members specializing in AI data services, including data transcription, annotation, and linguistic quality assurance for various dialects. We have the capacity to handle large-scale projects efficiently and are looking to integrate into your vendor network. Could you please guide us on the next steps to become an official partner? Additionally, we would appreciate it if we could connect with the relevant team member on DingTalk for smoother project coordination and communication. Looking forward to a fruitful collaboration.
Security
Security Overview
Octopus Team prioritizes data security and client privacy as a cornerstone of our operations. We implement comprehensive measures to protect sensitive information, including: Data Handling: All team members are required to sign strict Non-Disclosure Agreements (NDAs). Data is handled in secure, monitored environments. Access Control: We utilize role-based access control, ensuring that only authorized personnel have access to project-specific data. Privacy Compliance: We strictly adhere to GDPR principles and client-specific privacy guidelines. Infrastructure: Our systems are protected by firewalls, encrypted communication channels, and secure file transfer protocols. Quality & Training: Regular security awareness training is provided to our 300 experts to ensure they remain vigilant against data breaches and privacy risks.
Labeling Experience
AppenAudioData Collectionprecision text annotation project
Other
Text
RLHF
TextRLHFProvided high-precision text annotation and linguistic labeling for AI model optimization
2024 - 2024