Spanish Language Specialist

Join to apply for the Spanish Language Specialist role at iMerit Scholars

Company: iMerit

Location: Remote

Shifts: Monday-Friday, 7 hours of productivity per day

As a Gen AI Data Annotation Analyst, you will play a critical role in developing high-quality datasets that power the next generation of Large Language Models (LLMs). You will evaluate, generate, and refine multi-modal data (text, image, and video) to ensure AI outputs are accurate, safe, and culturally resonant for the French market.

• Multi-Modal Annotation: Label and categorize high-quality training data across text, image, and video formats with surgical precision.
• Content Generation: Draft grammatically flawless, creative, and factually accurate text in both French and English, adapting tone and style for specific project needs.
• Edge-Case Resolution: Apply logical reasoning to resolve ambiguous data scenarios where guidelines may not explicitly cover a specific nuance.
• Continuous Feedback: Identify and report bugs within internal annotation tools and suggest workflow optimizations.
• Cross-Functional Sync: Collaborate with Language Leads and Project Managers to calibrate on quality benchmarks and project pivots.
• Linguistic Agility: Ability to switch between creative, technical, and professional writing styles effortlessly.
• Analytical Rigor: A "detective mindset" for spotting subtle inaccuracies or biases in AI-generated content.
• Domain Breadth: Comfortable handling content ranging from social media trends to high-school-level science and technical documentation.
• Tool Proficiency: Quick to master complex web-based annotation platforms
• Education: Bachelor’s degree or equivalent (Linguistics, Communications, or a related field preferred).
• Language Mastery:
• Spanish: Native speakers of the relevant language and that market. Advanced level (CEFR B2 minimum; C1 preferred).
• Cultural Context: Familiarity with the cultural and professional landscape of the relevant country, either as their country of origin or through extended residency.

• Direct experience in RLHF (Reinforcement Learning from Human Feedback) or LLM fine-tuning.
• Experience moderating sensitive, nuanced, or complex datasets.
• Familiarity with the current Generative AI landscape (Terminologies, Principles, LLM limitations, etc.).

• An innovative and supportive global working environment.
• Opportunities for continuous learning and professional growth.
• Competitive compensation and flexible working arrangements.
• Engagement in impactful projects at the forefront of AI technology.

Join iMerit to be part of shaping high-quality datasets powering the next generation of generative AI solutions. If precision, critical analysis, and innovation excite you, we encourage you to apply!