Technical Content Marketer(part time contractor)

Runpod is a foundational platform for developers to build and run custom AI systems that scale. They are seeking a technical, detail-oriented contractor to help build and operate a programmatic content engine focused on high-intent, structured content, ensuring technical accuracy and integrity.

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• Identify hallucinations, incorrect assumptions, outdated claims, or vague language.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• Flag edge cases where content should not be published due to uncertainty or ambiguity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
• 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