OpenClaw Automation Engineer (Contract) — Build an AI Content Engine
I’m looking for a hands-on OpenClaw builder to design and deploy a fully automated AI workflow that turns long-form video into multi-platform content.
This is a real system, not a concept.
You will be building directly inside OpenClaw (or similar agentic workflow frameworks).
The Objective
Take a 15-minute video and automatically:
• Upload to YouTube (title, description, SEO optimized)
• Generate 5–9 viral short clips
• Publish to:
• TikTok
• Instagram Reels
• Schedule via Publer
• → No manual review — fully autonomous pipeline
⚙️ What You’ll Build in OpenClaw
A multi-step agentic workflow with:
1. Ingestion Agent
• Pull video from Dropbox
• Trigger pipeline on new file
2. Transcription + Understanding Agent
• Transcribe (Whisper / OpenAI)
• Segment content semantically
• Identify high-engagement / “viral” moments
3. Clip Generation Agent
• Select 5–9 best segments
• Convert to 9:16 format
• Add:
• Burned-in subtitles
• Hook-first formatting
• Clean cuts
4. Content Generation Agent
• Generate per-platform:
• Titles (YouTube SEO optimized)
• Captions (TikTok/IG style)
• Descriptions + hashtags
• Adapt tone per platform
5. Distribution Agent
• Integrate APIs:
• YouTube
• Meta (Instagram)
• TikTok
• Schedule via Publer API
6. Orchestration Layer
• Fully automated flow inside OpenClaw:
• Trigger → process → publish
• Error handling + retries
• Logging + status tracking
Required Experience
• Direct experience with OpenClaw (or very similar agent frameworks)
• (this is NOT optional)
• Strong in:
• API integrations (YouTube, Meta, TikTok)
• LLM orchestration (OpenAI / Claude)
• Video processing (FFmpeg or similar)
• Experience building:
• Multi-agent workflows
• Autonomous pipelines (no human-in-the-loop)
Bonus Points
• Experience with content automation / creator tools
• Understanding of viral clip detection
• Familiarity with Publer or social scheduling tools
• Built something similar before (huge plus)
Engagement
• Contract (fast execution expected)
• Clear deliverable: working end-to-end system
• Potential for ongoing work + expansion
Why This Is Interesting
This is the foundation of a scalable AI content machine.
If done right, this system will:
• Run daily
• Scale across channels
• Become a core growth engine
• You’re not just wiring tools — you’re building an autonomous media pipeline.
Apply tot his job
Apply To this Job
This is a real system, not a concept.
You will be building directly inside OpenClaw (or similar agentic workflow frameworks).
The Objective
Take a 15-minute video and automatically:
• Upload to YouTube (title, description, SEO optimized)
• Generate 5–9 viral short clips
• Publish to:
• TikTok
• Instagram Reels
• Schedule via Publer
• → No manual review — fully autonomous pipeline
⚙️ What You’ll Build in OpenClaw
A multi-step agentic workflow with:
1. Ingestion Agent
• Pull video from Dropbox
• Trigger pipeline on new file
2. Transcription + Understanding Agent
• Transcribe (Whisper / OpenAI)
• Segment content semantically
• Identify high-engagement / “viral” moments
3. Clip Generation Agent
• Select 5–9 best segments
• Convert to 9:16 format
• Add:
• Burned-in subtitles
• Hook-first formatting
• Clean cuts
4. Content Generation Agent
• Generate per-platform:
• Titles (YouTube SEO optimized)
• Captions (TikTok/IG style)
• Descriptions + hashtags
• Adapt tone per platform
5. Distribution Agent
• Integrate APIs:
• YouTube
• Meta (Instagram)
• TikTok
• Schedule via Publer API
6. Orchestration Layer
• Fully automated flow inside OpenClaw:
• Trigger → process → publish
• Error handling + retries
• Logging + status tracking
Required Experience
• Direct experience with OpenClaw (or very similar agent frameworks)
• (this is NOT optional)
• Strong in:
• API integrations (YouTube, Meta, TikTok)
• LLM orchestration (OpenAI / Claude)
• Video processing (FFmpeg or similar)
• Experience building:
• Multi-agent workflows
• Autonomous pipelines (no human-in-the-loop)
Bonus Points
• Experience with content automation / creator tools
• Understanding of viral clip detection
• Familiarity with Publer or social scheduling tools
• Built something similar before (huge plus)
Engagement
• Contract (fast execution expected)
• Clear deliverable: working end-to-end system
• Potential for ongoing work + expansion
Why This Is Interesting
This is the foundation of a scalable AI content machine.
If done right, this system will:
• Run daily
• Scale across channels
• Become a core growth engine
• You’re not just wiring tools — you’re building an autonomous media pipeline.
Apply tot his job
Apply To this Job