• Contribute to the development of a high-scale, AI-ready Data Lakehouse optimized for AI Agent operations • Hands-on prototyping of emerging architectural patterns • Maintain high standards for code quality and CI/CD, participating in cross-functional architecture reviews • Build platform-level interfaces for agentic workflows • Develop systems that move beyond basic search into Reasoning-based Retrieval • Implement emerging standards like the Model Context Protocol (MCP) and Agentic RAG

• Define and own the technical roadmap for AI-ready Data Lakehouse • Prototype and benchmark emerging trends in the AI ecosystem • Set the gold standard for code quality and system design • Design platform-level interfaces for Agentic workflows • Build the "Context Fabric" for AI agents • Implement and advocate for emerging standards like MCP

• Use your experience to design features connecting natural language queries with a large corpus of legal knowledge. • Build a data architecture you are proud to highlight. • Use unstructured data to build large scale data sets. • Work on a team dedicated to ML and Data Science with ownership of multiple projects and products. • Collaborate with the Product team to understand new features.

Before applying This role is open to contractors in accepted locations only. Please confirm your country is on the list before applying — we're unable to process applications from unlisted locations. List of accepted countries and locations. For US applicants This is a 1099 independent contractor role. It is not compatible with F-1 OPT, STEM OPT, or any visa status that requires W-2 employment, guaranteed hours, or employer sponsorship. We are unable to provide offer letters or employment verification for this role. What You'll Be Doing Help train large language models (LLMs) to write production-grade code across a wide range of programming languages: - Compare and rank multiple code snippets, explaining which is best and why - Repair and refactor AI-generated code for correctness, efficiency, and style - Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line: Generate code → expert engineers rank, edit, and justify → convert that feedback into reward signals → reinforcement learning tunes the model toward code you'd actually ship. What You'll Need - 3+ years of professional software engineering experience in C++ (constraint programming experience is a bonus, but not required) - Strong code-review instincts — you can spot logic errors, performance traps, and security issues quickly - Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. - Comfortable reading documentation and language specs, and able to work well in an asynchronous, low-oversight environment Identity verification: Applicants will be required to verify their identity and confirm they have valid documentation to work as an independent contractor in their country of residence. What You Don't Need - No prior RLHF or AI training experience Logistics - Location: Fully remote — work from anywhere on the accepted locations list - Compensation: $30–$70/hr based on location and seniority. Note: the majority of projects run at around $30/hr — higher rates apply to senior profiles and specific project types - Hours: Minimum 15 hrs/week, up to 40+ hrs/week available — hours vary by project and are not guaranteed week to week - Engagement: 1099 independent contractor - Payment: Weekly via PayPal or Stripe ⚠️ Important: Hours are project-dependent and can vary week to week. We recommend keeping other work options open alongside this engagement rather than relying on it as your sole source of income.