Motion Graphic & Gen AI Artist
JoVE
Motion Graphic & Gen AI Artist
JoVE
Produces peer-reviewed scientific video journal
JoVE · India (Remote) · Full-time · Posted 2026-10-29
Workplace: remote
JoVE is the world’s leading producer and provider of science video solutions, with a mission to advance scientific research and education. Our platform is trusted by millions of scientists, educators, and students worldwide. We serve over 1,000 leading institutions—including Harvard, MIT, Yale, and Stanford—and collaborate with biopharma companies globally. With offices in the USA, UK, Australia, and India, we deliver innovative solutions to clients in 60+ countries and are continuously growing. Join our dynamic team and contribute to shaping the future of science communication through engaging visual storytelling.
The Role
We're seeking a creative and detail-oriented Motion Graphic & Gen AI Artist to join our growing video production team. In this role, you'll transform scripts, storyboards, and animatics into engaging educational videos using generative AI image and video tools, combined with traditional animation and motion graphics techniques.
You'll collaborate with creative leads, illustrators, and content developers to produce visually consistent, high-quality AI-generated footage that aligns with JoVE's educational objectives and brand standards.
Key Responsibilities
Must to have skills:
1 year of hands-on experience in video editing and motion graphics using software such as Adobe Premiere Pro, After Effects, and Adobe Photoshop.
Proficiency in the English language for clear communication and collaboration with teams.
Nice to have skills:
Who You are:
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JoVE produces and publishes video resources to support research and education in science, medicine, and engineering. It creates peer-reviewed videos that demonstrate experiments filmed in real laboratories and makes them accessible online to researchers, educators, and students worldwide. Access is via a subscription library with a catalog of over 25,000 videos linked to journals and educational contexts. Its goal is to increase the productivity of research and education by making high-quality experimental methods and data accessible, enabling learning, replication, and collaboration.
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