Generalist Data Annotation Expert Jobs in Oregon

We are building G-P's permanent Horizon 3 (H3) Discovery Engine-an autonomous unit unconstrained by existing corporate assets, designed to explore big macroeconomic shifts, workforce evolutions, regulatory shocks, and AI-agent economies. This isn't an internal infrastructure team or a traditional engineering department; it is an agile builder pod that shifts code, breaks assumptions, and runs fast, low-fidelity experiments to find product market fit. 

This is a co-founder-level engineering role working in a tight, single-threaded Pod alongside a Principal PM / Product Builder. You will have dedicated executive "air cover" to bypass traditional corporate roadblocks, legal procurement delays, and enterprise architectural overhead. This role demands extreme ownership, a relentless bias for shipping over talking, and a knack for building "sketchy V0s" that capture behavioral data rather than scale. If you want to spend months writing architecture design docs before typing a line of code, this isn't for you.

• Extreme Product Ownership: Drive the technical discovery, design, API contracts, and rapid discovery of net-new business concepts.
• Ship Weekly Behavioral Probes: Collaborate with your PM counterpart to build and launch weekly "sketchy V0s," fake-door landing pages, and concierge MVPs designed strictly for speed of validated learning.
• Be an Eng Hacker: Prioritize speed over perfect architecture. Write clean enough code to test a hypothesis, but remain entirely willing to completely scrap and rewrite your stack when a project is killed or pivoted.
• Build the Scrappy Engine: Wire up fast integrations, stitch together APIs, configure authentication, and implement usage tracking and product-led analytics on the fly.
• Leverage Frontier Tech: Serve as the technical expert on the team, translating emerging primitives-like LLMs, multi-agent frameworks, decentralized protocols, and automation tools-into functional software prototypes.
• Participate in Discovery: Don't just sit in an IDE. Join user interviews, review behavioral data with your PM, and use first-principles thinking to help decide whether to Persevere, Pivot, or Kill a concept at the end of each week.

• Full-Stack Prototyping Chops: You can spin up frontend interfaces, spin down databases, and configure API integrations completely on your own. You are a generalist who values functional software over specialization.
• Agentic AI Mastery: You use modern AI development accelerators (e.g., Cursor, Claude, GitHub Copilot) daily to build software at startup velocity.
• 0-to-1 Hacking Experience: A proven track record of building apps, side projects, or early-stage software features from scratch. 
• Data Integration Agility: Experience working with disparate datasets, writing quick data transformation scripts, and setting up clean analytics events to track how users interact with prototypes.
• Workflow Encoding Intuition: Ability to take real-world, friction-filled processes (like legal, compliance, or HR workflows) and rapidly translate them into elegant digital logic.
• Extreme Ownership and Speed: You default to action, require zero supervision to deploy software, and possess a massive tolerance for ambiguity and changing requirements.

• Early Startup Engineer: Experience working as a technical co-founder or an early engineering hire at an early-stage startup.
• AI/LLM App Development: Hands-on experience building prototypes that leverage LLM orchestration libraries (e.g., LangChain, LlamaIndex, Vercel AI SDK) or custom agentic workflows.
• Platform Deployment Agility: Proven ability to deploy, manage, and debug cloud-native prototypes autonomously using AWS services (e.g., ECS/Fargate, S3, Lambda or Bedrock)
• Integration Experience: Practical knowledge of rapidly integrating with diverse enterprise APIs (e.g., HRIS, fintech, identity management, CLMs) with a particular focus on fast auth and data mapping.

The annual gross base salary range for this position is $140,800- $176,000 plus variable compensation.