Shipd is our gamified data collection platform that transforms boring annotation into an addictive, competitive experience. 16,000+ contributors have signed up organically because “nerds want to get paid to code.” With quest-based campaigns, bounty rewards, streaks, and community features, Shipd aims to attracts the best talent for complex data production. Now we’re looking for a Product Engineer to help us scale the platform into the “Duolingo for coding bounties” or “Kaggle but paid”
Build the Quest Builder system: Create reusable components, UI generators, and multi-step pipelines that shrink quest setup from a week to a day.
Own developer experience tooling: Extend our VS Code fork, browser extension (Moody Blues), and trace viewer to capture long-form coding workflows with full observability.
Scale the data flywheel: Design features that make the platform engaging enough to bring friends, raise quality through competition, and support any data format without starting from scratch.
Engineer quality at scale: Improve our three-tier eval system (automation, judge models, human review), build real-time feedback, and empower top contributors to become reviewers.
Ship addictive experiences: Blend game mechanics, developer tools, and marketplace dynamics into products that make hours-long data tasks feel rewarding.
Strong product engineering experience—you can own features end-to-end across frontend, backend, and data.
A knack for building systems that scale—infrastructure, pipelines, and abstractions that work across many use cases.
Experience with developer tools (e.g., IDEs, extensions, SDKs, CLIs) or platforms with heavy telemetry/observability.
Curiosity about game design, marketplaces, or community products—how to keep people motivated and engaged.
Excellent communication and product sense—you can frame trade-offs clearly and design with both users and internal teams in mind.
Comfort with ambiguity—happy to prototype, iterate fast, and pivot based on feedback.
Builder’s mindset: scrappy, resourceful, motivated by hard problems.
Excited by human-AI collaboration and how product design shapes outcomes.
Pride in craft: you care about both quality and speed.
Desire to help define the “experience foundations” for frontier data collection.
Experience in AI/ML, crowdsourcing platforms, or online education/gamification.
Familiarity with marketplace dynamics or contributor ecosystems.
Background in scaling evaluation or quality systems for complex work.
What We Do
Providing code data vetted by the best engineers, so you can build the most capable models
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