Freelance Annotation Quality Reviewer (Korean) at Toloka Annotators

Seoul, , South Korea -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

18.0

Posted On

06 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Korean, English, Annotation, Quality Assurance, Data Analysis, Feedback, Labeling, Classification, Evaluation, Mentoring, Attention to Detail, Communication, Technology, Artificial Intelligence

Industry

technology;Information and Internet

Description

Please submit your resume in English and indicate your level of English. At Toloka Annotators, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence. What we do The Toloka Annotators platform connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process. About the Role Annotation is what helps AI make sense of the world — it’s the bridge between raw data and intelligent understanding. As a Annotation Quality Reviewer, you’ll play a key role in shaping how AI systems interpret language, images, and information. You’ll collaborate with cross-functional teams, provide feedback on data quality, and help maintain high annotation standards across diverse projects. Responsibilities: Review and analyze data — from text passages and product descriptions to social media posts, news articles, or visual content (such as marketing images and short videos) — ensuring it’s correctly labeled and contextually accurate. Perform quality assurance (QA) checks on tasks completed by other annotators, identifying inconsistencies or labelling errors, and providing constructive feedback to help improve accuracy. Label or classify content according to detailed project guidelines — for example, tagging sentiment in user reviews, identifying medical terminology in clinical texts, or categorizing tone in marketing copy. Evaluate AI-generated content by rating response quality, factual correctness, and tone appropriateness — such as comparing different chatbot outputs or fact-checking generated summaries. Flag problematic or sensitive material, including biased language, misleading claims, or inappropriate visual content, to ensure compliance with ethical and safety standards. Contribute to process improvements, such as suggesting refinements to annotation guidelines, improving workflow efficiency, and mentoring new team members on best practices. Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities. You hold or are currently pursuing a Bachelor/Master/PhD Degree in any professional field. You have advanced proficiency in Korean (C1) and at least English (B2), both written and spoken. Experience in mentoring/teaching/consulting, or editing/reviewing/consulting work in a professional or academic setting. Excellent written communication and ability to give clear, structured and constructive feedback Proven experience in annotation or data labelling. Attention to details and ability to understand and follow instructions. Genuine interest in technology and artificial intelligence. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $18/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

Responsibilities

As an Annotation Quality Reviewer, you will review and analyze various types of data to ensure accurate labeling and contextual correctness. You will also perform quality assurance checks and provide constructive feedback to improve annotation standards.