• Build across the entire stack — React/Next.js frontends, Go and Python services, AI/LLM pipelines, infrastructure • Own product surfaces end-to-end — you take a problem from design through architecture through shipped, working software • Build and ship AI agents — design agent architectures, prompt systems, tool-use patterns, evaluation frameworks • Make infrastructure decisions — deployment, observability, sandboxing, scaling; you build what the team runs on • Bring product and design sense — you don’t just implement specs, you push back on what’s wrong and propose what’s better • Mentor and raise the bar — set technical standards, review code with rigor, make the engineers around you faster and sharper • Ship fast across time zones — distributed team across US, India, Ireland, Poland; you unblock yourself and others

• Develop repeatable sourcing workflows across Sales, CS, and PMM to keep the story pipeline full. • Create reusable templates, kits, and tools so the team can produce evidence at speed without reinventing the wheel every time. • Help build and maintain the systems that make the engine run - evidence pipelines, permissions tracking, content libraries, and self-serve discovery tools. You'll work in Coda, Salesforce, and new AI solutions to keep the machine humming. • Tell the story of what customers achieve with Fin through clear, compelling content that shows what's real and why it matters. • Extract transformation arcs, not just stats. The best stories show a before and after that people feel. • Write. A lot. Sharp, clear narratives that make complex outcomes feel simple and stories feel human across long-form case studies, short-form social proof, sales-ready slides, event materials and other experimental formats. • Produce video content - from planning shoots to directing interviews to working with editors on the final cut. You don't need to be a professional videographer, but you need to be willing to roll up your sleeves and make it happen. • Own and grow advocacy programs that encourage user-generated content and public storytelling moments. • Run and optimise review site campaigns across G2 and TrustRadius - outreach, incentives, response management, and leveraging awards and rankings. • Design gifting and recognition initiatives that turn happy customers into vocal advocates. • Partner with Sales, PMM, Product, and Brand to align customer stories with launches, campaigns, and competitive positioning. • Embed proof into deal cycles, outbound sequences, and sales enablement. Evidence only has value when it's seen. • Build trusted relationships with customers to unlock public storytelling, testimonials, and co-marketing opportunities. • Manage the details, like permissions, approvals, logo rights, client sign-offs, with persistence and care. • Build prompt frameworks and semi-automated systems that increase output without sacrificing quality. • Continuously experiment with new tools and workflows. If something can be faster, make it faster. • What matters most is output. Every week something meaningful should be built, refined, or launched. • This role will likely require quarterly travel for company events, team offsites, and customer meetings, including international travel at times. You should be comfortable traveling as part of the job and able to do so when needed.

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 Go (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.

• Implement backend services in C# (.NET/ASP.NET) and front-end features in Vue.js and Nuxt, integrating with SQL Server • Apply best practices, input validation, logging, and error handling aligned to audit requirements • Build RESTful APIs, write T-SQL queries and stored procedures for reliability and performance • Work with QA, and DevOps to meet SLAs, resolve defects, and support fielded systems