Interdisciplinary Artist

Job Title: Interdisciplinary Artist Job Type: Contractor Location: Remote Job Summary: We are seeking an expert-level Interdisciplinary Artist to join our customer’s team for an innovative AI training project. This is a unique opportunity to collaborate with a dynamic group at the intersection of art and technology, leveraging your skills across multiple artistic disciplines to help shape the next generation of creative AI systems. Key Responsibilities: • Create, curate, and deliver high-quality visual, film, audio, digital, and animation content for AI models. • Collaborate closely with project managers, engineers, and fellow artists to meet creative and technical requirements. • Analyze and interpret project briefs, contributing diverse artistic perspectives to AI training datasets. • Document and communicate artistic processes clearly for technical and non-technical audiences. • Review and provide constructive feedback on generated content to ensure alignment with artistic and project standards. • Adapt and respond flexibly to project needs, contributing across multiple media forms as required. • Champion a culture of experimentation and creative problem-solving within the interdisciplinary team. Required Skills and Qualifications: • Expertise in the following or related fields: visual arts, film, audio production, digital media, or animation. • Proven track record of delivering professional-level creative projects in an interdisciplinary context. • Strong written and verbal communication skills, with a dedication to clear and effective documentation. • Experience collaborating in remote, cross-functional, and diverse creative teams. • Ability to translate artistic vision into actionable data for AI development. • Familiarity with digital tools and platforms (Adobe Creative Suite, audio/video editing software, animation tools, etc.). • Self-motivated, detail-oriented, and capable of managing multiple priorities simultaneously. Preferred Qualifications: • Prior experience working on AI, machine learning, or data-centric creative projects. • Background in curriculum development or content creation for technical audiences. • Demonstrated ability to innovate within constraints and drive creative solutions.