Overview

🚀 About the Role:

Join iMerit and contribute to building the next generation of AI and Large Language Models (LLMs). As a Gen AI Data Annotation Analyst, you will work on multi-modal datasets (text, image, video) to ensure AI outputs are accurate, safe, and culturally aligned with the Spanish market.

 

🔧 Key Responsibilities:

Perform multi-modal annotation across text, image, and video data

Generate high-quality content in Spanish and English

Evaluate and refine AI-generated outputs for accuracy and cultural relevance

Handle edge cases using logical and analytical thinking

Provide feedback on tools and workflows for continuous improvement

Collaborate with Language Leads and Project Managers

 

🧠 Skills & Competencies:

Strong linguistic and writing skills (creative + technical)

Analytical mindset to detect errors and biases in AI outputs

Ability to work across diverse content domains

Quick learner for web-based annotation tools

 

✅ Minimum Requirements:

Bachelor’s degree (Linguistics, Communications, or related field preferred)

Spanish: Professional/Advanced proficiency (CEFR B2/C1 preferred)

English: Bilingual proficiency (CEFR B2/C1 preferred)

 

⭐ Preferred Qualifications:

Experience in RLHF / LLM training / AI data annotation

Exposure to sensitive or complex content moderation

Understanding of Generative AI concepts and tools

Familiarity with Spanish culture and professional environment

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About iMerit

iMerit has a pool of 10,000+ active resources spanning 60+ countries across the globe. They work with the most innovative companies in the artificial intelligence and machine learning ecosystems, to unlock the value hidden deep within large volumes of unstructured datasets and fine tune their model outputs. Our customers are able to focus on the algorithms that drive their company forward, while our teams of trained specialists handle the data work and reinforcement learning. With an output accuracy above 98%, iMerit is recognized as the leader in delivering quality, cost-effective projects on time and on budget.