Language Data Quality Reviewer for Swiss German (Freelance/Task-based)

Volga Partners , a U.S.-based company, specializes in Artificial Intelligence and machine learning, catering to top technology giants and multinational corporations. Beyond that, we offer a spectrum of services including IT, business process outsourcing, advanced professional services, and crowdsourcing in both established and emerging markets. Our client is seeking candidates interested in Freelance/Task-based work for an ongoing project. The hours will align with the IST time zone . PLEASE REVIEW THE MANDATORY REQUIREMENT BEFORE APPLYING: Must be able to read and write in English and Swiss German Must be comfortable and understand this is a task-based role . Task-Based Project Scope This is a freelance, task-based role designed for those seeking supplemental income . It’s essential to understand the nature of freelance work—tasks will be assigned as they become available, and work may be irregular or intermittent. Notifications will be sent via WhatsApp, email, or Slack (after onboarding through the client’s portal). All tasks are offered on a first-come, first-served basis , making this role ideal for individuals who are comfortable with flexible, on-demand work. POSITION We are looking for a Language Data and Quality Reviewer with proficiency in Swiss German to join our team. This role is critical in researching and analyzing data for various entities, tools, and datasets that will be introduced through on-the-job training. The ideal candidate should have a background in technology, with strong logical and analytical skills to assess data and provide valuable insights. While prior experience in similar roles is beneficial, we encourage candidates with some experience in data analysis, quality assurance, or related fields to apply, especially those looking to grow their skills in a global, dynamic work environment. Key Responsibilities Data Interpretation: Analyze datasets, translating raw data into actionable insights that can support business improvement strate