Join Our Mission to Bridge the Digital Divide - Through AI!
Position : AI Programs Consultant - Austin, Texas (Hybrid or Remote)
Salary Range : USD 55,000 - 75,000 annually
Location : Preference for Austin, Texas; remote possible
Travel : Occasional travel required with reasonable notice and accommodations
About Us
Sustainable Living Lab USA (SLL LLC USA) is part of a global movement, HQ in Singapore, offices in India, Indonesia, Japan, and the US, to make technology inclusive, accessible, and sustainable. We design and deliver innovative education programs that equip learners with essential digital and AI skills - from US community colleges to grassroots organizations worldwide.
About the Role
We're seeking a dynamic, articulate, and adaptable AI Programs Consultant to support the global expansion and US localization of our AI education programs.
This role involves delivery, curriculum creation, and program development, ideal for someone confident in discussing AI with non-technical audiences, passionate about learning, and eager to influence AI upskilling's future. You'll co-lead Train-the-Trainer (TTT) sessions and help develop new content and outreach initiatives for K-12 students, community members, community colleges, workforce training programs, and emerging initiatives.
This hybrid role blends delivery, curriculum design, and program development, ideal for a flexible, self-motivated individual with a growth mindset who thrives in consultant-like, ambiguous environments, constantly finding solutions to new problems.
Key Responsibilities
- AI Programs Training & Facilitation (US and Global with a TTT Model)
- Lead and co-lead virtual and in-person Train-the-Trainer (TTT) workshops across time zones, supporting partners in K-12, vocational education, and workforce institutions worldwide.
- Ensure trainers understand the content and are equipped to customize it for local contexts and learner needs.
- Develop and implement standardized training regimens and SOPs tailored for cross-cultural, regional, and international implementation partners.
- Translate core AI and Python concepts into engaging, beginner-friendly lessons sensitive to language diversity and digital fluency levels.
- Conduct engaging and informative training sessions utilizing standardized curriculum.
- US Programme & Business Development (SME, Colleges, K12, communities)
- Manage the continuity and expansion of SLL's US programs, particularly within its extensive network of 130 community colleges spanning 40+ states.
- Work with the team to position SL2 as a leading partner in AI and emerging tech education for the US community college and vocational sector.
- Scale educational programs with school districts (K-12), focusing on out-of-school programs and boot camps.
- Scale AI Community Engagements with clubs, societies, and foundations.
- Identify and articulate compelling use-case stories for workforce development partnerships.
- Support consulting engagements with colleges, government agencies, and employers to co-develop bespoke AI education pathways.
- Identify and research state-level workforce skilling grants.
- Content Development and Productization
- Collaborate with internal teams to evolve existing programs and co-create new offerings.
- Lead the creation of consulting / sales decks, training decks, and other content as a core part of the role.
- Contribute to productizing key experiential learning offerings such as hands-on coding challenges and platform-based simulated work experiences.
- Help localize material for US-based institutions, aligning with skills frameworks and employer demand.
- Co-deliver experiential coding / skilling events, ensuring the core product is designed for global scalability and is adaptable to various educational levels, including tailoring project focus for different competitions for K-12 and community college students.
What We're Looking For
Experience : Minimum of 2 years in education, training, or facilitation, including at least 1 year focused on technical or digital skills. Experience working across cultures and time zones is highly valued.Tech & Learning Aptitude : Intermediate knowledge of Python and foundational AI / ML concepts. Strong personal interest in the evolving AI landscape and comfort with explaining complex topics to beginners. Experience or enthusiasm for Vibe Coding, digital hackathons, or collaborative prototyping is a plus.Communication & Facilitation : Fluent, clear-spoken English and strong public speaking skills. Able to adjust tone, pace, and clarity based on audience (e.g., global teachers vs. college professors vs. workforce leaders). A strong presence on Zoom or in person - whether running a classroom session, hackathon, or partner presentation.Mindset & Tools : Adaptable, self-motivated, and collaborative. Skilled in using tools like Zoom, Google Workspace, and Teams, and eager to learn new platforms and facilitation techniques.Location & Eligibility : Preference for candidates based in Austin, TX, but open to strong remote applicants. Must be authorized to work in the US.Why Join Us?
Make Global Impact : Empower teachers and workforce educators across continents to teach AI confidently and contextually.Shape the Future of the US Workforce Skilling : Co-create impactful AI programmes for colleges and workforce partners across the US.Creative & Collaborative Culture : Work with a mission-driven team that values experimentation, equity, and lifelong learning.Featured Benefits : Medical insurance (employer contribution); annual leave, and paternity and maternity leave.Ready to Apply?
Send your resume and a short, authentic cover letter to aaqib@sustainablelivinglab.org with the subject line : "AI Programs Consultant - U.S." Please write authentically, and use AI tools with discernment.
Please include :
Your expected monthly salary in USDYour current location and time zoneYour availability to startAny accommodation requests (if applicable)SLL LLC USA is an Equal Opportunity Employer. We celebrate diversity and are committed to building an inclusive workplace. If you need accommodations during the application process, please let us know.