Technical Programmatic Content Lead (part time contractor)

Runpod is the foundational platform for developers to build and run custom AI systems that scale. With over 500,000 developers worldwide and an annual recurring revenue run rate exceeding $120M, Runpod operates at the intersection of developer velocity and production-scale AI. Founded in 2022, we’ve grown rapidly by building infrastructure purpose-built for modern AI workloads. Our platform enables teams to move from experimentation to deployment with flexibility across cloud, on-prem, and hybrid environments. As a remote-first, globally distributed company, we are building the infrastructure layer that powers the next generation of AI systems.

This role sits within Runpod's Marketing team, which is responsible for scaling Runpod's organic acquisition through content, SEO, and answer engine optimization (AEO). The team works closely with Product Marketing, Engineering, and Product to ensure that every piece of content we publish is technically accurate, useful to developers, and aligned with how both humans and LLMs discover and evaluate infrastructure tools. We're building a programmatic content engine that compounds over time, and this role is central to making that engine reliable.

We're looking for a technical, detail-oriented contractor to help build and operate a programmatic content engine focused on high-intent, structured content: GPU comparisons, model pages, infrastructure explainers, FAQs, and pricing concepts. This is not a traditional content-writing role. The core challenge isn't generating text. It's verifying correctness, maintaining technical integrity, and ensuring content can be trusted by both developers and LLMs. You'll work closely with Runpod's growth and product marketing teams to expand our programmatic content footprint, validate AI-assisted outputs for technical accuracy, and help establish quality standards and review workflows that scale. This role will be a 20-30 hour per week contractor.

Programmatic content engines are easy to build. Correct, defensible content is what sets them apart. This role exists because we're investing in quality as a competitive advantage, and we need someone who can act as a quality gate with real autonomy. You'll have ownership over a system that compounds over time, directly shaping how developers and AI systems discover, evaluate, and trust Runpod's platform.

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.