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MYK Freelancers is an AI data services studio based in India, focused on helping machine learning teams build high-quality multilingual datasets. We specialize in audio annotation, image labeling, and multilingual transcription that support speech recognition, computer vision, and natural language processing models. Founded by Yusuf Khan, MYK Freelancers works with a distributed network of trained annotators and transcription specialists to deliver scalable dataset solutions for AI companies worldwide. Our structured workflows ensure datasets are processed, validated, and delivered according to project requirements, while maintaining a strong focus on accuracy, reliability, and clear communication to help AI teams build better and more dependable machine learning systems.


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About our company
Our Journey
Our journey began in April 2024 when we started working on transcription and data annotation projects with a small and dedicated team. During this early stage, we focused on delivering accurate work and building experience in handling multilingual transcription and dataset preparation tasks.
Building the Foundation
As we continued collaborating with clients, our network of annotators and transcription specialists gradually expanded. In April 2025, we launched the MYK Freelancers website to present our services and connect with clients globally.


Official Registration
In March 2026, MYK Freelancers was officially registered under the Government of India's Udyam registration system. Today, we focus on supporting AI and machine learning teams with multilingual datasets through audio annotation, image labeling, and transcription services.
Where We Stands Today
Today, MYK Freelancers focuses on supporting AI and machine learning teams with multilingual datasets through audio annotation, image labeling, and transcription services.
How we are different?
Here's What Makes Us Stand Out From the Competition
Multilingual Dataset Expertise
We support multilingual transcription and annotation across global languages to help AI teams build reliable training datasets.
Our distributed annotation team allows us to scale projects based on dataset size and language requirements.
We maintain transparent communication to ensure smooth collaboration and timely dataset delivery.
