AI Systems Engineering Subject Matter Expert
TripleTenDescription
At TripleTen, we're building an international platform of digital re-skilling products to help people from diverse backgrounds learn new professions and build sustainable careers in tech.
Our program graduates have landed jobs at top companies like Tesla, Spotify, PlayStation, Google, and Microsoft. So far, over 5,000 students have chosen TripleTen, and hundreds of new students are joining us each month. We believe everyone can jumpstart a new career, which is why we produce quality educational content and offer intensive courses in tech complete with full access to an interactive platform, code reviews, and support from industry practitioners.
We're building a program for experienced engineers transitioning into system architecture roles. We need AI Systems Engineering practitioners who can do more than just know their craft — they need to help build the curriculum and turn their expertise into content others can learn from.
This is a content authoring role. You'll start by shaping the program syllabus based on our existing draft, then move into producing lessons using AI-gen tools — following our content guidelines, reviewing the output, and fine-tuning it until it's accurate and teachable. An LX designer will review your content and send comments back; you'll iterate from there. The best candidates are people who are opinionated about what good systems engineering looks like and what engineers need to learn, can spot when something is oversimplified or wrong, and are comfortable working in a structured production process and keeping up with deadlines.
Your audience: experienced engineers looking to level up to system architecture roles. They will spot shallow content instantly.
Format: async-first, project-based, estimated 4-6 months. We expect you to be ready to commit from 20 to 40 hrs/week.
Please submit all resumes or CV's in English.
What you will do
- Review and shape the existing syllabus draft — validate topic sequencing, flag gaps or unrealistic scope, and make sure the content reflects how these systems are actually built in production
- Define clear learning objectives per topic: what should a student be able to do after this lesson, not just know
- Produce lessons using AI-gen tools following our content guidelines — then review, fact-check, and fine-tune the output until it's technically sound
- Design hands-on projects and exercises that are realistic for a working engineer studying 20 hrs/week
- Write supporting content: project instructions, rubrics, and reviewer guides
- Respond to LX designer feedback and iterate on content — this is a back-and-forth process, not a one-time handoff
Requirements
- 5+ yea
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