AI Content Specialist

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io.

We’re looking for a skilled AI Content Specialist to build smart, scalable AI workflows and create standout visual content. You’ll work hands-on with leading generative AI tools, collaborate with creative and technical teams, and own projects from idea to delivery. If you're passionate about automation, design, and pushing creative boundaries - we’d love to hear from you.

Build and automate AI workflows:

• Design AI pipelines (ComfyUI, n8n, make, etc) for production-ready assets,
• Work with third-party inference engines (Fal.ai, Replicate, Hugging Face). 
• Deploy and manage inference endpoints on GPU clouds (RunPod, MimicPC, AWS, Google Cloud).
• Fine-tune or LoRA-train models for brand consistency.

Create visual content and collaborate:

• Using the mentioned pipelines, Ideate and produce quality images, videos, music, etc, 
• Collaborate with internal production teams, developing creative guidelines and prompt libraries.

Project ownership and management:

• Translate requests into clear roadmaps and timelines. 
• Drive cross-functional communication with Product Managers, Designers, and R&D.
• Track progress, measure quality, and communicate status to stakeholders.
• Establish best practices for documentation, versioning, and knowledge-sharing.
• Data - Define quality metrics; query BI dashboards; A/B test prompts

• Proven experience in building end-to-end pipelines with ComfyUI, n8n (or similar).
• Portfolio that demonstrates a sharp visual eye: images, video, music or SFX generated with generative AI plus traditional tools (Adobe CC, DaVinci, etc.).
• Comfortable with third-party inference engines (Fal.ai, Replicate, Hugging Face APIs).
• Hands-on deployment of GPU workloads on RunPod, MimicPC, AWS, GCP; familiar with instance sizing, cost controls and monitoring.
• Proven record of fine-tuning / LoRA-training diffusion or transformer models and managing checkpoints in Git-based version control.
• Proven experience partnering with production teams (design, video, audio) and translating briefs into great content or scalable AI workflows.
• Python knowledge is a plus.