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Transform Language Models into Real-World Applications We’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with remote work arrangement . You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions Why This Role Matters You’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale. What You’ll Do Collect, clean, and preprocess user-generated text and image data for fine-tuning large models Design and manage scalable data labeling pipelines, leveraging both crowdsourcing and in-house labeling teams Build and maintain automated datasets for content moderation (e.g., safe vs unsafe content) Collaborate with researchers and engineers to ensure datasets are high-quality, diverse, and aligned with model training needs What Is It Like Likes ownership and independence Believe clarity comes from action - prototype, test, and iterate without waiting for perfect plans. Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you. Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later. See feedback and failure as part of growth - you’re here to level up. Possess humility, hunger, and hustle, and lift others up as you go. Requirements Proven experience preparing datasets for machine learning or fine-tuning large models Strong skills in data cleaning, preprocessing, and transformation for both text and image data Hands-on experience with data labeling workflows and quality assurance for labeled data Familiarity with building and maintaining moderation dat