Technical Ghostwriter — AI & Data Infrastructure (LinkedIn + X/Twitter)

We run a content studio for VCs, data infrastructure founders, and AI-native startups. We turn their raw ideas, notes, and opinions into content that sounds exactly like them — and actually performs.
What you'll do:

Write 20–30+ LinkedIn posts and X/Twitter threads per month across 4+ distinct client voices
Translate dense technical topics (LLM evals, data warehouse internals, venture economics) into content people want to read
Newsjack fast — spot what's breaking in AI/data infra and get relevant takes out within hours
Research from papers, podcasts, and community discussions to find fresh angles
Join light bi-weekly or monthly check-ins, take messy inputs, and ship clean drafts

You must have:

Genuine fluency in data infra (databases, warehouses, analytics stacks) and AI/ML (LLMs, agents, evals, inference)
Venture literacy — pre-seed vs. seed, LPs, founder-market fit, GTM — without Googling it
Strong ghostwriting chops: you can match tone, cadence, and opinions convincingly
Platform fluency for LinkedIn, X/Twitter, and Reddit with technical audiences
ET/CT/MT availability; able to hit 2–4 hour turnarounds when needed
Philippines-based

Nice to have:

3+ years ghostwriting for executives, founders, or SMEs
Background in journalism, technical writing, or B2B SaaS content
Early-stage startup experience
Comfort with Notion, ClickUp, Slack

Engagement: 20 hrs/wk to start, scaling to 40 hrs/wk for the right fit.

To apply, please share:

2–3 samples of ghostwritten LinkedIn posts or X threads (technical topics preferred)
A brief note on your fluency with AI/data infra — what do you actually know vs. what do you research?
Your hourly rate