Location: Oasis Ara Damansara, Malaysia
Company: Work E Robotics Sdn Bhd
Internship Duration: Starting from September 2026
About Us
Work E Robotics is focused on building and delivering real-world robotic solutions for industrial and commercial use. From quadruped robots to humanoids, we bring robotics out of the lab and into everyday business operations and events.
What You’ll Do
As a Marketing Intern, you’ll play a key role in shaping how people see and understand robotics in real-world applications.
- Assist in planning and executing social media strategies (LinkedIn, TikTok, Instagram)
- Create engaging content (posts, captions, short-form videos, reels)
- Support video production — shooting, editing, and storytelling for robot demos and use cases
- Work closely with the team to translate technical robotics concepts into simple, engaging content
- Manage content calendar and posting schedule
- Monitor performance metrics and suggest improvements
- Support branding initiatives, campaigns, and events
- Be involved in real robotics deployments, demos, and behind-the-scenes content creation
What We’re Looking For
- Students or fresh grads in Marketing, Communications, Media, or related fields
- Strong interest in branding, storytelling, and social media trends
- Basic skills in video editing (CapCut, Premiere Pro, or similar tools)
- Comfortable being hands-on — filming, editing, and creating content on-site
- Good writing and communication skills (English)
- Self-driven, proactive, and willing to learn in a fast-moving environment
- Interest in robotics/technology is a big plus
Bonus Points If You Have
- Experience managing a social media page or personal content channel
- Portfolio of content (videos, posts, campaigns)
- Basic design skills (Canva, Adobe tools)
- Comfortable appearing in videos or hosting content
Why Join Us
- Get hands-on experience with real robotics projects (not just desk work)
- Build a strong portfolio in tech + content + branding
- Work in a fast-growing robotics startup environment
- Opportunity for full-time conversion based on performance