Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. About the Role Job Title: Annotation & Review Specialist Employment Type: Freelance / Project-Based Location: Remote (Work From Home) Work Hours: Flexible; minimum commitment of 4–5 hours per day Eligibility: Open to candidates with a High school or above degree Language Required : Polish We are seeking for detail-oriented and quality-focused individuals to join our team as Annotation & Review Specialists. This is a freelance, remote opportunity that offers flexible working hours. The role involves understanding cultural and linguistic nuances, reviewing and annotating data, and following detailed project-specific guidelines to enhance AI performance and accuracy. Key Responsibilities: Perform annotation tasks on images and videos as per project guidelines. Review annotated images and video content to ensure accuracy and quality standards are met. Provide clear and constructive feedback on annotations and identify areas requiring correction or improvement. Follow project instructions, workflows, and timelines consistently. Maintain high attention to detail while handling large volumes of data. Collaborate with the quality and project teams to improve annotation accuracy and efficiency. Required Skills & Qualifications High school or Bachelor's degree in mandatory. Ability to understand and follow detailed annotation guidelines. Basic computer proficiency and familiarity with online tools/platforms. Prior experience in annotation, data labeling, or quality review is an added advantage. What Makes This Role Exciting Fully remote opportunity, allowing you to work comfortably from home. Flexible working hours (4–5 hours per day) to suit your schedule. The chance to contribute to cutting-edge AI and Large Language Model (LLM) training initiatives, shaping the future of language technology. Note: For this role, you are required to complete the Internal assessment and English assessment within two (2) days from the date it is assigned to you.