We’re looking for talented and reliable freelancers to join our ongoing AI improvement projects. You’ll help train large language models (LLMs) by creating high-quality data science coding challenges and/or by writing and evaluating short AI conversations focused on tone, empathy, and personality. Both projects are part of our mission to build smarter, friendlier AI systems that understand people and solve real-world problems effectively. Project Areas 1️⃣ Data Science Project Create and test data science challenges using Jupyter Notebooks. Each task includes: Writing a clear, testable prompt Building an initial prompt Completing a final prompt Writing pytest tests to verify correctness Ensuring reproducibility (Python 3.10.11 or 3.10.13) and pinned library versions You’ll need: Strong Python skills and comfort with pandas, numpy, matplotlib, scikit-learn Experience creating, debugging, or reviewing coding tasks Attention to detail and clear technical writing Understanding of ML workflows and reproducible environments 2️⃣ Conversational Tone & Writing Project Help evaluate and improve AI conversational tone. You’ll write short (1–2 turn) chat scenarios and compare two AI responses — rating which feels more natural, emotionally intelligent, and engaging. You’ll need: Excellent English writing and communication skills Sensitivity to tone, warmth, and conversational flow Ability to imagine realistic messages, emails, or advice requests Strong attention to emotional nuance and empathy Who You Are Thoughtful, analytical, and detail-oriented Strong communicator, both technically and personally Reliable and self-motivated with good time management Curious about AI and how it learns from human input Details Commitment: 10–30 hours/week (both projects available) Start Date: Immediate How to Apply Please include: A short intro about your technical background and/or writing experience Any examples of Jupyter notebooks, Python code, or writing samples Your availability and preferred project type (Data Science, Conversation, or Both)