Volga Partners

    AI Evaluation & Annotation Specialist (Entry-Mid Level) - Korean

    Volga Partners
    Posted 11/21/2025Entry Level
    New! 🎉
    Contract
    Technology
    Detail-Oriented
    Problem-Solving
    Language Analysis
    Reading Comprehension
    Critical Thinking

    Job Description

    Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations

    This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team:

    Language Shift Window (IST) 05:30 – 14:30 IST OR 17:00 – 02:00 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule)

    • Only logged, approved hours are paid.
    • This project follows a no paid holidays / no paid time off model.
    • Location Restrictions

    We are unable to accept applicants currently residing in:

    Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range

    Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD:

    $11.00 USD to $14.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Korean, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

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