Title: AI Video Consultant (Training & Enablement)/Clinical Content Designer
Role: Enhance communication through Artificial Intelligence (AI)
Location: Swiftwater, PA (100% REMOTE)
Duration: 4 Months+ Possible Extension
Pay Range: $48- $53/hr
Manager Notes:

• Must have: Bachelor’s degree required. Minimum 3 years of experience in AI video production, training, or communications.
• Proven professional experience, with Artificial Intelligence Video Development & Tools Proficient with GPT-4, Google Flow, Clipchamp, or similar AI Platforms Create and deliver AI-generated videos and training materials, ideally for medical, pharmaceutical, vaccine, or regulated environments.
• Train and support beginner/self-learning users; promote adoption of AI tools and best practices.
• Strong knowledge of the AI landscape, emerging tools, data-sharing practices, and regulated content considerations (e.g., clinical data, GMP). Strong communicator who can share knowledge, present ideas, and collaborate effectively.

Core mission:

• Assess current AI environment and available tools for communication
• Exchange with COL-BO team to evaluate GCD needs over time (per function, calendar)
• Define the most appropriate way for digitalized communication
• Train the COL-BO team for AI video production
• Provide guidance and best practices for sustainable production in the long run

Expected deliverables:
1) Training and skill development

• Structured Training Program: Define and develop a complete pedagogical plan including learning objectives, session schedule, and prerequisites
• Hands-on Workshops: Practical sessions on leading AI video tools (e.g., GPT4, Google Flow, ClipChamp, others, …)
• Training Materials: Slide decks, step-by-step tutorials, and a technical glossary
• Skills Assessment: Pre/post training evaluations and participation certificates to measure team progress.

2) Operational Implementation

• AI Video Production Framework: A standardized end-to-end workflow tailored to Client’s needs and clinical guidelines
• Reusable Templates & Workflows: Ready-to-use templates for recurring video formats (e.g., internal communications, Clinical trials achievements highlight)
• Tool & Architecture Recommendations: Comparative analysis of tools, licensing requirements, and integration options with existing systems
• Quality Control Guidelines: Sensibilization to best practices document covering review processes, compliance, GDPR, and ethical use of AI-generated content

3) Pilot Projects & Demonstration

• 2–3 Co-created AI Videos — Collaborative production of real use-case videos with the team (e.g., onboarding video, internal campaign, training module)
• Performance Metrics & ROI Report — Documentation of results, lessons learned, and measurable impact
• Client-Specific Use Cases — Identification and prioritization of the most relevant AI video applications for the business

4) Support & Sustainability

• Post-Training Q&A Sessions: Scheduled follow-up sessions to address questions and consolidate learning
• Technical Support: Dedicated support period (3 months) following the end of the training program
• Living Documentation: Updated materials reflecting tool evolutions and new best practices
• 6–12 Month Skills Roadmap: A forward-looking plan to continue developing AI video capabilities within the team

Must have:
1) Artificial Intelligence Video Development & Tools

• Tool environment: GPT4, Google Flow, ClipChamp
• Expected deliverables oriented for Medical / Pharmaceutical / Vaccines environment

2) Language & Work Environment: English-speaking, international environment
3) Training and educational support

• Basics and self-learning audience to support
• Delivery-oriented

Minimum Education:

• Bachelor’s degree and 3+ years of related experience