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.