Runpod is the AI Developer Cloud, used by more than 500,000 developers to build, train, deploy, and serve AI workloads. We are a remote-first company operating at the intersection of developer experience, production AI infrastructure, and efficient compute economics.

This contractor role sits within Runpod's Marketing team and supports organic acquisition through programmatic SEO, answer engine optimization (AEO), and technically accurate structured content. This is not a generic SEO writing role. The core job is making sure high-intent content about GPUs, model serving, inference, pricing, infrastructure tradeoffs, and developer workflows is correct, defensible, searchable, and useful.

We are looking for a technical content QA contractor to help build and operate a programmatic content engine focused on GPU comparisons, model pages, infrastructure explainers, FAQs, pricing concepts, and AI infrastructure workflows. You will use AI tools where they help, but the value of the role is judgment: catching hallucinations, validating claims, and knowing when content is safe to publish.

This role is 20-30 hours per week to start.

What success looks like

• Programmatic content ships faster without becoming sloppy or untrustworthy.
• Technical claims are validated before publication.
• Pages are structured for humans, search engines, and LLM answer surfaces.
• Templates and QA workflows improve over time instead of depending on heroic manual review.

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• Identify hallucinations, incorrect assumptions, outdated claims, unsupported comparisons, vague language, and misleading phrasing.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.

Preferred

• 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.

What this role is not

This is not a keyword-stuffing role, a junior blog writing role, or a publish-whatever-the-model-says workflow. Accuracy matters more than volume. Trust matters more than speed.

What You will Receive

• Competitive hourly rate of $40-$60/hour, depending on experience.
• Part-time engagement to start, with potential to expand.
• Fully remote, async-friendly, outcome-focused working environment.
• Real ownership over a system that compounds over time.

Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States, however, we are currently unable to sponsor employment visas.