Responsibilities

• Programmatic content production and QA
• Produce and QA programmatic, structured content at scale (GPU comparisons, model explainers, infrastructure FAQs, pricing concepts).
• Use AI tools to generate first drafts efficiently, then critically evaluate and correct them.
• Identify hallucinations, incorrect assumptions, outdated claims, or vague language. Fix them without escalating every decision.
• Technical validation
• Validate technical claims related to GPU hardware, AI/ML models, cloud infrastructure, and serverless and distributed systems.
• Flag edge cases where content should not be published due to uncertainty or ambiguity.
• Process and systems development
• Follow clear content templates, schemas, and guardrails while improving them over time.
• Help document and refine the programmatic/AEO engine so it's repeatable and scalable.
• Cross-functional collaboration
• Collaborate asynchronously with marketing, product, and occasionally engineering via Slack.

Requirements

• Technical background or strong hands-on familiarity with cloud infrastructure, AI/ML workflows, GPUs, compute pricing, or distributed systems.
• Ability to independently verify technical accuracy using documentation, benchmarks, product specs, and APIs.
• Experience working with AI tools (ChatGPT, Claude, etc.) with a critical eye, not blindly trusting outputs.
• Comfort operating inside templates, spreadsheets, CMSs, or structured content systems.
• Strong written communication skills: clear, concise, and precise.
• High attention to detail and low tolerance for sloppy or misleading content.
• The judgment to know when something is "good enough" vs. "dangerously wrong."
• Successful completion of a background check.

Nice To Have

• Previous experience with programmatic SEO, AEO, or large-scale content systems.
• Developer, ML, or infrastructure-adjacent work experience.
• Familiarity with how LLMs consume and surface content.
• Experience reviewing or editing technical documentation.
• Light scripting, SQL, or data comfort.

Benefits

• Fully remote, async-friendly, outcome-focused working environment.
• Real ownership over a system that compounds over time.
• Join a passionate team on the cutting edge of AI infrastructure, where culture, learning, and ownership are at the heart of how we scale.