About Designlab

Designlab is one of the leading online learning platforms for digital, product, and UX design. More than 25,000 learners have completed our mentor-led programs, including teams and professionals from companies like Google, Salesforce, Capital One, and Uber.

Over the past year we’ve launched several successful AI-focused programs for designers—hands-on, practical, workflow-based learning that helps designers incorporate AI into real product and creative work.

We’re continuing to expand these efforts across new programs, workshops, and corporate trainings. To support this growth, we’re looking to connect with experienced AI-savvy designers and practitioners who may be interested in contributing as instructors, mentors, or trainers.

About the Role

We’re looking for design practitioners who actively use AI in their day-to-day work—people who have integrated AI tools into their design workflows and can share practical, real-world examples with learners.

This is a flexible contract role where you may participate as an:

Instructor (Workshops, Courses, or Corporate Training)

You may help design and deliver live learning experiences for designers, including:

• Cohort-based courses
• Hands-on workshops
• Corporate team trainings
• Guest sessions or special topics

Instruction may involve:

• Teaching practical AI workflows for design
• Walking through real projects or case studies
• Designing exercises or demonstrations
• Helping shape curriculum and course materials

Sessions range from small workshops to larger cohort classes or corporate trainings, depending on the program.

Mentor (Small-Group Coaching)

Mentors support small groups of learners as they apply AI tools in their own work.

Mentorship typically involves:

• Guiding small groups of designers through projects
• Reviewing work and offering concrete feedback
• Helping learners troubleshoot AI workflows
• Sharing practical insights from your own experience

Mentorship is generally lower time commitment and conversational, while instructing requires more preparation and structured delivery. Candidates may opt into one or both tracks.

Areas of Expertise

We’re especially interested in practitioners with hands-on experience in one or more of the following areas:

AI in UX & Product Design Workflows

Using AI to accelerate research, ideation, prototyping, and product design workflows.

This might include experience with tools such as:

• LLMs and reasoning models (ChatGPT, Claude, etc.)
• AI prototyping and vibe coding tools (Figma Make, Lovable, v0, Bolt, Cursor, Windsurf)
• AI-assisted development workflows (Claude Code, Supabase, Vercel, Replit)
• AI-assisted UX research and design workflows
• Rapid product experimentation using AI

AI Visual & Creative Design

Using generative AI tools to create or accelerate visual design, branding, and creative production.

This might include tools such as:

• Image generation tools (Midjourney, Stable Diffusion, FLORA, etc.)
• Creative orchestration tools for design workflows
• Video and motion AI tools (Runway, Pika, Veo, etc.)
• ComfyUI or custom generative pipelines
• AI-assisted illustration, visual systems, or design exploration

Designing AI-Powered Product Experiences

Designing products that incorporate AI capabilities directly into the user experience.

Examples might include:

• AI copilots or assistants
• LLM-powered features inside digital products
• AI-driven workflows or automation
• Conversational or generative interfaces
• Designing interactions around probabilistic systems

Who We’re Looking For

You’re a strong fit if you:

Actively use AI in real design work

You’re not just experimenting—you’re using AI tools in your actual workflow.

You may have used AI to:

• Prototype or build product concepts
• Accelerate research or design iteration
• Create visual assets or creative systems
• Build AI-powered features inside products
• Experiment with new AI tools as they emerge

Are curious and continuously experimenting

The AI design space evolves quickly. We’re looking for people who are actively exploring new tools, workflows, and approaches.

Can explain ideas clearly and help others learn

Teaching ability matters as much as technical experience.

You should be comfortable:

• Breaking down complex workflows
• Demonstrating your process
• Engaging with learners live
• Helping others apply concepts to their own work

Bonus Points If You’ve Already

• Taught a workshop, course, or bootcamp
• Given talks about AI and design
• Published guides, tutorials, or frameworks
• Built or launched AI-powered product features
• Shared your workflows publicly (articles, demos, etc.)

Time Commitment & Compensation

This is a flexible contract role.

Opportunities may include:

• Teaching a single workshop
• Mentoring small groups of learners
• Delivering corporate training sessions
• Contributing to curriculum or program development

Initial engagements typically involve modest preparation and limited live sessions, with opportunities to expand into additional programs over time.

Compensation is competitive and varies based on role and scope.

Typical ranges include:

• Workshop instruction and corporate training: approximately $80–$200 per hour
• Mentorship: typically lower hourly commitment & rate

Why Work With Designlab

Designlab instructors and mentors work with a global community of designers while helping shape how the industry learns to use AI effectively.

You’ll have the opportunity to:

• Share your real workflows with practicing designers
• Help shape emerging AI design education
• Collaborate with other practitioners exploring cutting-edge tools
• Contribute to programs reaching designers worldwide

If you’re actively using AI in your design work and enjoy helping others learn, we’d love to hear from you.