Technical Content QA Contractor, Programmatic SEO and AEO

Reposted 18 Days Ago
Easy Apply
Hiring Remotely in USA
Remote
40-60 Hourly
Mid level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
To create a foundational platform for developers to build and run custom AI systems that scale.
The Role
The role involves producing, validating, and maintaining programmatic content related to AI/ML, ensuring technical accuracy and quality. Collaboration with marketing and engineering teams is important, and the position requires attention to detail and experience with AI tools.
Summary Generated by Built In

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.

Skills Required

  • Technical background or strong 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 with a critical eye
  • Strong written communication skills
  • High attention to detail

What the Team is Saying

Jamie Ilario
Max Forsey
Jacob Wright

Runpod Compensation & Benefits Highlights

  • Healthcare Strength Healthcare is described as fully paid for full‑time employees, with dental and vision included and wellness programs available. Dependents receive partial coverage, indicating broader medical support beyond the employee.
  • Retirement Support Retirement offerings include 401(k) matching to support long‑term savings. This signals an employer commitment to financial security alongside salary.
  • Equity Value & Accessibility Equity via stock options is highlighted for employees, providing ownership upside at a growing company. Early‑stage context suggests broader access to equity participation.

Runpod Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
San Francisco, California
80 Employees
Year Founded: 2022

What We Do

Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022, we are a rapidly growing, well-funded company with a remote-first organization spread globally. Our mission is to empower innovators and enterprises to unlock AI's true potential, driving technology and transforming industries. Join us as we shape the future of AI. We are building Cloud services focused on accelerating AI adoption. Whether you're an experienced ML developer training a large language model, or an enthusiast tinkering with stable diffusion, we strive to make GPU compute as seamless and affordable as possible.

Why Work With Us

Our Guiding Virtues Give a sh*t - We want to work with people who care - about our customers and about each other. Look in the mirror - We deeply reflect on our own actions and seek to better ourselves. Courage over comfort - We tackle hard truths and tough situations directly, even when it makes us uncomfortable.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Runpod Offices

Remote Workspace

Employees work remotely.

We’re remote-first, offering flexibility with virtual tools for collaboration. For those nearby, we have coworking spaces in SF and Seattle. Enjoy the choice of office or remote work, with a focus on flexibility and work-life balance

Typical time on-site: None
San Francisco, California
Company Office Image
Seattle, WA
Learn more

Similar Jobs

Runpod Logo Runpod

Director, Revenue Operations

Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Easy Apply
Remote
USA
80 Employees
180K-250K Annually

Runpod Logo Runpod

Deal Desk Manager, Revenue Operations

Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Easy Apply
Remote
USA
80 Employees
125K-180K Annually

Runpod Logo Runpod

Enablement Manager, Revenue Operations

Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Easy Apply
Remote
USA
80 Employees
145K-190K Annually

Runpod Logo Runpod

Technical Support

Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Easy Apply
In-Office or Remote
Remote, OR, USA
80 Employees
56K-83K Annually

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account