Technical Content Marketer(part time contractor)

Seattle, WA (Remote)

$40/hr – $60/hrMid LevelContract

Posted 3 months ago

Top 1% of applicants do these two things.

The other 99% submit and hope. You're about to do something different.

Job Summary

Drive programmatic content QA for AI infrastructure content at scale, validating technical accuracy and repeatable processes.

  • Own end-to-end content production and QA for GPU, AI/ML, and pricing concepts.
  • Must-have: strong technical background in cloud, GPUs, or distributed systems to verify specs.
  • Standout: helps build repeatable guardrails and a scalable programmatic/AEO engine.

Job Description

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  • Identify hallucinations, incorrect assumptions, outdated claims, or vague language.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  • Flag edge cases where content should not be published due to uncertainty or ambiguity.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

Preferred

  • 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

Benefits

Runpod

Runpod provides cost-effective GPU cloud computing services for training, deploying, and scaling AI models. With GPU Cloud, users can spin up an on-demand GPU instance in a few clicks. With Serverless, users can create autoscaling API endpoints for scaling inference on their models in production.Runpod was founded in 2022 and is headquartered in New Jersey.

Founded in 2022
San Francisco, California, USA
84 employees (6 in marketing)

Traffic Signals

Monthly Visitors
1.5M
Monthly Google Ads Budget
$19.1K
Traffic Source Mix
Search
37.9%
Direct
55.2%
Referral
4.3%
Social
2.1%
Paid
0.4%

Headcount Trend

Current headcount: ~84

Marketing Team

Marketing Team Size
5 (6% of company)
Marketing Roles Posted (Last 30 Days)
1

Funding

Total Funding
$22M
Last Raise
Seed, 2 years ago