AI Content Specialist Generative AI

About the role

This is a temporary full-time hybrid position based in Cupertino, CA, with an estimated duration of 6 months. The role requires onsite presence on Tuesday, Wednesday, and Thursday during PST business hours.

Responsibilities

• Generate photorealistic avatars in HeyGen via prompts to build out a worldwide library of avatars for a variety of training scenarios.
• Document processes and best practices for avatar creation and HeyGen tool use so they can be referenced, improved, and replicated.
• Generate video content with AI tools, with experience using HeyGen for video generation or ElevenLabs for audio generation as a bonus.
• Demonstrate awareness for inclusion and diversity and cultural differences in avatar design.
• Evaluate and troubleshoot avatar video and voice generation.
• Organize and manage multiple work streams and a high number of HeyGen avatars and projects simultaneously.
• Continually refine processes for avatar and voice generation into scalable, automated workflows.
• Document errors/bugs so they can be explained and diagnosed.
• Work effectively and proactively with HeyGen’s support team to resolve issues and propose enhancements.
• Demonstrate comprehensive understanding of HeyGen back-end/technical details and capabilities.

Requirements

• 3+ years of experience creating digital content using AI-powered generative tools.
• 1+ years of hands-on experience with HeyGen or comparable AI avatar and video generation platforms.
• 1+ years of experience building and maintaining large-scale libraries of AI-generated avatars and video assets.
• 1+ years of experience troubleshooting AI-generated video, voice, avatar quality, and platform issues.
• 1+ years of experience managing multiple concurrent AI content projects and high-volume asset pipelines.
• Proficiency with MAC OS.

Skills

• AI
• Content Development
• Content Management
• Content Review
• GenAI tools
• Generative AI/GenAI
• Troubleshooting

Pay

Hourly rate: $50.75

Schedule

Hybrid work model (Tuesday, Wednesday, Thursday onsite).