Remote | Must be in LATAM | Part-Time, potential Full-Time or Side Gig About FutureProofing FutureProofing is a talent platform focused on embedding high-caliber technical talent into startups building real AI-driven products. We don’t optimize for academic exercises. We don’t care about Kaggle-only experience. We don’t mass-submit resumes. We work at the intersection of startup execution and real AI product development. Our data scientists help companies build and improve production AI systems — not just research experiments. What You’ll Do Build and improve AI-native products and data-driven systems Work hands-on with LLMs, structured/unstructured data, APIs, and modern ML workflows Rapidly prototype and iterate on AI-powered features Analyze, evaluate, and improve model outputs and system reliability Work closely with engineers, product teams, and founders in fast-moving startup environments Use tools like Claude, Cursor, notebooks, copilots, and AI-assisted workflows daily Help shape data pipelines, evaluation systems, experimentation workflows, and production AI features Contribute to AI-powered products across fintech, biotech, infrastructure, and next-generation startups What We’re Looking For 3+ years working in Data Science, Machine Learning, AI, Analytics, or related technical roles Strong Python skills and comfort working with modern data/ML tooling Experience working with production data systems, AI workflows, or model-driven applications Comfortable handling ambiguity and building in fast-moving startup environments Strong analytical and problem-solving mindset Experience evaluating model quality, experimentation, or AI outputs Already experimenting with or deploying AI-powered workflows or products Energized by AI and actively using AI tools in your workflow Autonomous, detail-oriented, and highly resourceful Work Setup Fully remote Flexible engagement: part-time, project-based, or side gig Flexible schedules with some US time overlap What Makes FutureProofing Different We train in applied AI when needed (LLMs, evaluation systems, AI workflows, real MVP velocity) We cover 100% of the training cost We match intentionally, not through keyword filtering We embed talent directly into startup teams We focus on output, ownership, and execution speed Builder-first model — we optimize for people creating real impact, not for volume Continuous learning path with optional certifications aligned to your growth You’re not competing with thousands of applicants. You’re introduced intentionally — once you’re ready.