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Identify hallucinations, incorrect assumptions, outdated claims, or vague language.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.
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Flag edge cases where content should not be published due to uncertainty or ambiguity.
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.
Collaborate asynchronously with marketing, product, and occasionally engineering via Slack.

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.

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.
Join a passionate team on the cutting edge of AI infrastructure, where culture, learning, and ownership are at the heart of how we scale.

Technical Programmatic Content Lead, Part Time Contractor

Key skills