Remote | Must be in LATAM | Part-Time, potential Full-Time or Side GigAbout FutureProofingFutureProofing 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 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.About What We 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 startupsWhat We Are 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 resourcefulWork Setup- Fully remote- Versátil engagement: part-time, project-based, or side gig- Flexible schedules with some US time overlapWhat 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 growthYou’re not competing with thousands of applicants.You’re introduced intentionally — once you’re ready.#J-18808-Ljbffr

📌 Applied AI/ML Engineer (Data Scientist) (Arequipa)
🏢 Futureproofing
📍 Arequipa