AI Workflow & Automation Specialist Work From Home Internship at Aspirant AI

We're building an AI video production pipeline.Your job is different: You'll work with open-source AI models, APIs, node-based workflows (Comfy UI), command-line tools, and technical infrastructure.

Selected intern's day-to-day responsibilities include:

A. Set up and run open-source AI models:
1. Install and configure Stable Diffusion, Wav2Lip, AnimateDiff, SadTalker, Video Retalking.
2. Run models locally or via cloud instances (understanding GPU requirements, VRAM, model weights).
3. Test different model versions and checkpoints to compare quality.
4. Troubleshoot installation issues, dependency conflicts, and CUDA errors.

B. Comfy UI is a node-based visual programming tool (like Unreal Engine blueprints but for AI):
1. Chain models together Image Generation Enhancement Video Post-Processing.
2. Connect nodes, configure parameters (sampling steps, CFG scale, resolution, seed values).
3. Debug when nodes fail "Why is output black? Why is resolution mismatched?"
4. Export and save workflows for reuse.

C. Read API documentation (ElevenLabs, Runway, Replicate, Hugging Face):
1. Write Python scripts to call APIs programmatically.
2. Handle API responses, error codes, rate limits, and authentication.
3. Chain multiple APIs together (Voice API Video API Processing).

D. Batch processing and automation:
1. Use FFmpeg (command-line video tool) for batch operations.
2. Write Python scripts to process 50 files instead of manually clicking 50 times.
3. Handle file I/O, format conversions, and error handling in code.
4. Set up queues and pipelines for high-volume processing.

E. Performance benchmarking:
1. Test the same input across multiple models/platforms.
2. Measure render time, quality, VRAM usage, and cost per video.
3. Document technical specifications and system requirements.
4. Build comparison spreadsheets with objective metrics.

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