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Summary: AI Evaluation & Annotation Specialists review, correct, and evaluate AI-generated responses to train and improve Large Language Models (LLMs), focusing on accuracy and consistency. Highlights: 1. Shape the future of artificial intelligence with hands-on production work. 2. Entry point into the growing AI and language technology industry. 3. Develop skills in annotation, evaluation, and structured AI tasks. 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)** 19:30 – 04:30 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: $6\.00 USD to $9\.00 USD per hour **Requirements** **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 Spanish, 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.
