Data Annotator

Company Description QuikyGo is India’s largest data acquisition network, helping organizations access high-quality, real-world data at scale. The company provides local, flexible, and professional staff to its customers at no cost in exchange for data collection, creating a mutually beneficial ecosystem. QuikyGo focuses on building reliable data pipelines that support AI, analytics, and digital transformation initiatives across industries. Team members work with innovative tools and processes designed to ensure data accuracy, security, and consistency. Joining QuikyGo offers an opportunity to contribute to impactful data projects in a dynamic, technology-driven environment.
Role Description This is a full-time remote role for a Data Annotator at QuikyGo. The Data Annotator will review, label, and categorize data such as text, images, audio, and video according to defined guidelines and project requirements. Day-to-day tasks include following detailed annotation instructions, maintaining high accuracy and consistency, and using internal tools and platforms to complete annotation tasks within set timelines. The role involves collaborating with project leads to clarify requirements, reporting issues or ambiguities in the data, and suggesting improvements to labeling guidelines. The Data Annotator will also help perform basic quality checks on completed work and support continuous optimization of data annotation processes.
Qualifications

• Strong attention to detail and the ability to follow structured guidelines and instructions accurately.
• Comfort working with digital tools, web-based platforms, and basic spreadsheets or databases.
• Good analytical and observational skills for interpreting and categorizing text, images, audio, or video data.
• Effective written and verbal communication skills to collaborate with remote teams and project managers.
• Ability to work independently in a remote setup, manage time well, and meet productivity and quality targets.
• Familiarity with data annotation or labeling, AI/ML datasets, or content moderation is an advantage.
• Basic proficiency in English; additional regional language skills in India are a plus for localized data projects.
• Minimum high school diploma; a degree or coursework in technology, data, or related fields is beneficial.