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Entry-level
<p>Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence?</p><p></p><p>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.</p><p></p><p>No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit.</p><p>This is a hands-on, production-based role where accuracy, focus, and consistency matter.</p><p></p><p>What You’ll Do</p><ul><li>Review AI-generated responses and rate them for clarity, correctness, and relevance.</li><li>Annotate and label content based on project-specific guidelines.</li><li>Follow detailed written instructions and apply them consistently.</li><li>Generate or evaluate prompts depending on assignment type.</li><li>Work with QA Leads to apply feedback and continuously improve task quality.</li><li>Report completed work daily and meet productivity and quality standards.</li></ul><p></p><p>What Makes You a Strong Fit</p><ul><li>You’re detail-oriented and enjoy accuracy-based work.</li><li>You can follow instructions carefully and apply them consistently.</li><li>You’re comfortable working independently with minimal supervision.</li><li>You have strong reading comprehension and critical thinking skills.</li><li>You communicate clearly and respond to feedback professionally.</li></ul><p></p><p>Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided.</p><p></p><p>Schedule & Work Expectations</p><p>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:</p><p></p><p>Language</p><p>Shift Window (IST)</p><p>05:30 – 14:30 IST OR 17:00 – 02:00 IST</p><ul><li>Standard expectation: One consecutive 8-hour shift</li><li>Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule)</li><li>Only logged, approved hours are paid.</li></ul><p></p><p>This project follows a no paid holidays / no paid time off model.</p><p></p><p>Location Restrictions</p><p>We are unable to accept applicants currently residing in:</p><p>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.</p><p></p><p>Why Join</p><p>✔ Work with a global team</p><p>✔ Entry point into the growing AI and language technology industry</p><p>✔ Exposure to real-world AI model training</p><p>✔ Skill development in annotation, QA/evaluation, and structured AI tasks</p><p></p><p>This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles.</p><p></p><p>Compensation Range</p><p>Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD:</p><p>$11.00 USD to $14.00 USD per hour</p>
Assessment Requirement<p>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.</p><p></p><p>Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role.</p><p></p><ul><li>Fluency in Korean, with strong written and verbal communication skills.</li><li>Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience.</li><li>Experience or interest in AI, Machine Learning, or data annotation preferred.</li><li>Strong attention to detail and ability to work with complex data sets.</li><li>Familiarity with translation and localization processes is an advantage.</li><li>Ability to work independently and collaboratively in a fast-paced environment.</li><li>Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.</li></ul>