Skylight’s mission is to build the OS of the family. We make consumer products, like Skylight Frame and Skylight Calendar, that are loved by millions of people across the globe. Through a singular focus on care for our customers, Skylight has scaled from a school project to over $190M in annual revenue while being completely bootstrapped. We have a huge opportunity to make family life easier and more connected, and that’s why we have been working hard to expand our team. Our ideal candidate is a seasoned backend engineer with deep experience building reliable, scalable systems, and a passion for creating products and features that really matter to customers. You know how to design and maintain robust APIs, optimize backend infrastructure, and work closely with not only engineers from other stacks, but also cross-functional partners, from retail to customer support to data. We're looking for someone who loves finding simple, straightforward technical solutions to complex problems. The types of projects you take on, how you’re placed within our org, your title and compensation, etc., will be determined by your experience, expertise, areas of passion, and how those align with Skylight’s needs. We love matching the right people with the right work. Experience with our stack (Ruby on Rails, JavaScript/TypeScript Lambdas, modern Rails/Ruby versions, and fast, well-tested applications) is important, and our bottom-line requirements are simple: a strong engineering foundation, a desire to own meaningful systems, and a commitment to delivering exceptional outcomes.

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 TypeScript (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 - No deep machine learning knowledge — if you can review and critique code clearly, we'll teach you the rest 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.

• Help train large language models (LLMs) to write production-grade code • Compare and rank multiple code snippets • Repair and refactor AI-generated code for correctness, efficiency, and style • Inject feedback into the RLHF pipeline

• 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