About this role.
TripleTen is seeking an AI Systems Engineering Subject Matter Expert to develop curriculum for experienced engineers transitioning into system architecture roles. The role involves shaping the syllabus, producing lessons using AI tools, and designing hands-on projects. Candidates need 5+ years of real-world systems engineering experience and strong communication skills. The position is remote, project-based, and requires 20-40 hours per week for 4-6 months.
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Cover letter sample
Dear Hiring Manager,
I am excited to apply for the AI Systems Engineering Subject Matter Expert role at TripleTen. With over 6 years of experience designing and shipping large-scale systems at companies like Google and Amazon, I have a deep understanding of what it takes to build robust architectures. I have mentored many engineers transitioning to system architecture roles, and I enjoy breaking down complex concepts into clear, actionable lessons.
I am proficient with AI content generation tools and have experience creating technical curriculum. I am comfortable with the iterative process of working with LX designers and meeting deadlines in a remote setting. I am confident I can help TripleTen build a world-class program.
Thank you for your consideration. I look forward to the opportunity to contribute.
Sincerely,
[Your Name]
Sample interview questions
I designed a microservices-based e-commerce platform. Key trade-offs included consistency vs. availability, choosing eventual consistency for the inventory service to improve uptime, and using a message queue for async processing. I also had to balance cost vs. performance when selecting database technologies.
I would use an analogy: imagine updating your social media profile picture. It might take a few seconds for all your friends to see the new picture, but eventually everyone sees it. In systems, eventual consistency means that after an update, all nodes will converge to the same value over time, but there is a brief period where they may differ.
I have used tools like ChatGPT and GitHub Copilot to draft technical documentation and code examples. The main challenge is ensuring accuracy: AI can generate plausible but incorrect details. I always fact-check and test examples. I also fine-tune prompts to get more precise outputs.
I start with learning objectives: what should they be able to do? Then I design a realistic scenario, like building a scalable chat system. The project should have multiple milestones, each reinforcing a concept. I include open-ended aspects to encourage exploration, and provide a rubric that evaluates design decisions, not just correctness.
I would first understand the rationale behind the feedback. Then I would evaluate the technical accuracy of the requested changes. If the changes align with learning goals, I adapt the content. If I disagree, I provide evidence or alternative solutions. I see this as a collaborative process to improve the curriculum.
Description
🤓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+ years of real-world experience as a Senior Systems Engineer with depth in your area (see SME profiles above)
- Has designed and shipped systems at scale in a real company — not just coursework or side projects
- Can explain why a decision was made, not just how it was implemented
- Strong technical communication skills — ability to explain complex topics clearly to learners
- Comfortable using AI tools for content drafting and iteration
- Strong English C1+ — content will be in English for a US-based audience
- Attention to detail, proactivity and ability to meet deadlines independently
What we can offer you
- Milestone-based payments tied to deliverables
- Fully remote work with flexible hours
- A digital office — we use modern tools (Notion, Miro, Slack, Figma) to keep collaboration smooth
- Professional trust and autonomy — no micromanaging
- The chance to see real impact: our metric is graduates landing jobs in tech
- Join a diverse, international, and close-knit team excited to work with you
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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