Freelance Annotation Quality Reviewer (Korean)

Toloka Annotators; Austin (TX); À distance; USD 31 684; Temps partiel

Avantages offerts par ce poste

Competitive pay rates up to $23/hour

Flexible working hours

Experience in advanced AI projects

Résumé du poste

A leading AI project platform is seeking a Freelance Annotation Quality Reviewer with advanced proficiency in Korean and English. This remote, part-time role involves reviewing and analyzing data, performing quality assurance, and contributing to process improvements in AI projects. Ideal candidates hold or are pursuing a higher degree and have experience in analytics or data labeling. Competitive pay rates up to $23/hour are available based on expertise.

Qualifications

• Proven experience in annotation or data labeling.
• Experience in mentoring, teaching, or consulting in a professional setting.
• Ability to give clear, structured, and constructive feedback.

Responsabilités

• Review and analyze diverse data for accuracy and labeling.
• Perform quality assurance checks and provide feedback.
• Label or classify content according to project guidelines.
• Evaluate AI-generated content for quality and correctness.
• Flag problematic content to ensure compliance with standards.
• Suggest improvements to annotation guidelines and mentor new members.

Connaissances

Advanced proficiency in Korean (C1)

Advanced proficiency in English (B2)

Excellent written communication

Attention to details

Formation

Bachelor/Master/PhD Degree

Description du poste

Freelance Annotation Quality Reviewer (Korean)

Please submit your resume in English and indicate your level of English.

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 an 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.

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.

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 labeling 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.

Requirements

• 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 labeling.
• Attention to details and ability to understand and follow instructions.
• Genuine interest in technology and artificial intelligence.

Benefits

• Get paid for your expertise, with rates that can go up to $23/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.