Greek Annotation in Dataplus Tool

Company Description Scriptoniq is a global language and data solutions company specializing in translation, localization, transcription, data annotation, and AI data services. The organization supports businesses, technology companies, and AI teams in managing multilingual content and high-quality data across diverse languages and markets. Services span multilingual transcription, translation and localization, speech and language data, and tailored AI training data solutions. With a skilled worldwide team and strong focus on quality, scalability, and reliability, Scriptoniq enables organizations to build and deploy language, speech, and AI technologies at scale. Team members work in an international, technology-driven environment with opportunities to contribute to cutting-edge AI and language projects.

Role Description The Greek Annotation in Dataplus Tool role is a remote contract position focused on annotating and labeling Greek language data within the Dataplus platform. Day-to-day work includes reviewing text and audio content in Greek, applying predefined annotation guidelines, and ensuring accurate tagging, labeling, and categorization for AI training and language technology projects. The role involves following detailed instructions, reporting issues or inconsistencies, and collaborating with project coordinators to maintain quality standards and meet deadlines. Responsibilities also include basic troubleshooting within the Dataplus tool, documenting annotation progress, and participating in occasional training or calibration sessions to align with project requirements.

Qualifications

• Strong Troubleshooting skills for resolving minor technical issues within the Dataplus tool and addressing annotation-related problems.
• Effective Communication and Training abilities to follow instructions, clarify requirements, and participate in guideline or tool onboarding.
• Project Management capabilities to organize tasks, manage time, and meet established milestones and deadlines.
• Experience with Machining or similar technical environments is helpful for understanding structured workflows and tool-based processes.
• Native or near-native proficiency in Greek and solid command of written and spoken English.
• Attention to detail, accuracy in data handling, and ability to follow complex annotation guidelines.
• Comfort working with web-based tools and basic understanding of data annotation or linguistic tasks.
• Prior experience in language, data annotation, or AI-related projects is an advantage.