Job Summary

SysTechCare Support is seeking a highly creative and technologically adept AI-Powered Fashion Design Specialist to join our remote team. In this role, you will combine the art of fashion design with the precision of AI-driven tools and CAD systems to conceptualize and develop unique apparel concepts for global clients. You will be at the forefront of the digital fashion revolution—transforming trends and client inputs into intelligent, production-ready designs for both virtual and real-world fashion.

Key Responsibilities

• Create innovative fashion designs using AI-powered design platforms, CAD tools, and 3D modeling software.

• Translate trend data, mood boards, and client specifications into compelling fashion concepts.

• Work with virtual fitting technologies and garment simulation software to visualize fit, drape, and style in real time.

• Collaborate with product developers, marketing teams, and technical designers to ensure alignment with brand goals and manufacturing feasibility.

• Stay current on fashion trends, materials, digital fashion platforms, and AI design tools.

• Optimize design workflows through automation and predictive modeling.

• Manage multiple design projects simultaneously with tight deadlines in a fully remote setting.

• Present collections and concept ideas to internal stakeholders and clients with clear documentation and visuals.

Required Skills and Qualifications

• Bachelors degree or diploma in Fashion Design, Digital Design, Textile Design, or a related field.

• Proficiency in AI-driven design tools such as Clo3D, StyleGAN, or similar platforms.

• Advanced skills in CAD software (e.g., Adobe Illustrator, CorelDRAW, AutoCAD for fashion).

• Strong sense of style, color theory, fabric types, and garment construction.

• Excellent portfolio showcasing both traditional and AI-generated fashion designs.

• High digital literacy, especially in handling tech integrations in the design process.

• Strong communication, presentation, and time management skills.

Experience

• 1–3 years of experience in fashion design or digital garment creation (freelance or in-house).

• Prior experience using AI tools in a fashion design setting is highly desirable.

• Exposure to digital fashion, virtual runways, or metaverse-based clothing is a plus.

Working Hours

• Fully remote, flexible working hours (with a minimum availability of 4–6 hours/day).

• Occasional virtual meetings with the global design team in different time zones.

Knowledge, Skills, and Abilities

• A visionary mindset with an understanding of emerging fashion-tech trends.

• Ability to iterate quickly based on feedback and trend changes.

• Capacity to merge aesthetics with functionality using AI outputs.

• Familiarity with garment production processes and sustainability practices is a bonus.

• Comfortable working in an agile, creative, and feedback-driven team environment.

Benefits

• 100% remote working flexibility

• Competitive monthly compensation based on experience and design portfolio

• Performance bonuses and client appreciation incentives

• Access to premium AI design tools and software licenses

• Ongoing training in fashion technology and AI innovation

• Opportunity to collaborate with international fashion brands and digital creators

• Fast-tracked growth opportunities in fashion-tech roles

Why Join SysTechCare Support?

At SysTechCare Support, we are shaping the future of fashion by merging creativity with cutting-edge technology. Join a team of like-minded visionaries, digital artisans, and tech-driven creatives who are redefining the boundaries of what is possible in the fashion world. Whether you are passionate about high fashion, streetwear, or virtual clothing lines, you will find endless opportunities to grow, lead, and innovate with us.

How to Apply

Send your updated resume, design portfolio (including AI-generated pieces), and a brief cover letter outlining your passion for AI fashion design to us.
Subject Line: Application for AI‑Powered Fashion Design Specialist
Applications will be reviewed on a rolling basis. Early applicants will be given preference.