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About the role
We are seeking a hands-on AI Automation Engineer to come in for a fixed engagement and rebuild how our marketing, growth and community work gets done. Today, producing and distributing our content and running our community takes roughly 10 hours of manual work per cycle. Your goal is to bring that to about 2, with the remaining time spent on judgment, approvals and relationships rather than copy-pasting, formatting and scheduling. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Acts with integrity and seeks out responsibility
- Demonstrates resilience, resourcefulness, and motivation for getting things done
- Organized and process-driven
- Approaches challenges as opportunities
- Curious and challenges personal assumptions regularly
- Welcomes feedback and open dialogue
More about this role
We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models.
We're the team that helps to power and support Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs.
We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI.
We are seeking a hands-on AI Automation Engineer to come in for a fixed engagement and rebuild how our marketing, growth and community work gets done. Today, producing and distributing our content and running our community takes roughly 10 hours of manual work per cycle. Your goal is to bring that to about 2, with the remaining time spent on judgment, approvals and relationships rather than copy-pasting, formatting and scheduling.
This role is ideal for someone who enjoys building, cares about the quality of what they...
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