Technical Content Marketer (part time contractor)

Runpod is the AI Developer Cloud, used by more than 500,000 developers to build, train, deploy, and serve AI workloads. They are seeking a Technical Content Marketer contractor to produce, edit, and QA structured content focused on technical accuracy and SEO, ensuring high-intent content about AI infrastructure is correct and useful.

Responsibilities:

• Produce, edit, and QA structured content at scale, including GPU comparisons, model explainers, inference FAQs, serverless concepts, pricing pages, and infrastructure explainers
• Use AI tools to accelerate first drafts, then critically evaluate and correct outputs before publication
• Validate technical claims against product docs, public specs, benchmarks, API references, pricing pages, and credible primary sources
• Identify hallucinations, incorrect assumptions, outdated claims, unsupported comparisons, vague language, and misleading phrasing
• Work inside content templates, spreadsheets, schemas, CMS workflows, and review queues
• Improve templates, quality standards, and review workflows so the system gets more repeatable
• Collaborate asynchronously with growth, product marketing, product, and occasionally engineering

Requirements:

• Hands-on familiarity with cloud infrastructure, AI/ML workflows, GPUs, model serving, compute pricing, APIs, or distributed systems
• Ability to independently verify technical accuracy using documentation, specs, benchmarks, APIs, and product pages
• Experience with programmatic SEO, AEO, structured content, technical editing, documentation, or large-scale content systems
• Experience using AI tools such as ChatGPT or Claude with a critical eye
• Comfort working in templates, spreadsheets, CMSs, content schemas, or structured QA systems
• Clear, concise, precise writing
• High attention to detail and low tolerance for sloppy or misleading content
• Judgment to know when something is good enough, when it needs a caveat, and when it should not ship
• Successful completion of a background check
• Developer, ML, cloud infrastructure, MLOps, or technical documentation background
• Familiarity with how LLMs consume, summarize, and surface web content
• Light scripting, SQL, Python, or data comfort
• Experience reviewing technical documentation, developer docs, product docs, or AI infrastructure content