At LunarTech, we keep meeting incredibly motivated people who are stuck in the same loop:
"Every role asks for experience, but no one wants to give me that first real chance."
You might be:
It’s frustrating. It’s discouraging. And it can feel like a vicious, never-ending loop.
Our highly competitive, remote-first LunarTech Apprenticeship Programs were created to break that loop.
Over 6 months, you join an international AI startup, contribute to real products, and develop job‑ready skills while being closely mentored by professionals. You’re not just watching from the sidelines — you’re in the arena, working on live AI, data, product, software, UX, and content problems that actually matter.
Think of it as a structured, remote odyssey: you start as an aspiring learner and end as a contributor with concrete stories, skills, and a portfolio to prove it.
Picture Sarah, a bioinformatics enthusiast who joined us last year. She arrived with lots of theoretical knowledge but no hands-on experience in a dynamic environment.
By month three, she was:
Six months in, she secured a role at a biotech company — with a portfolio full of real, production-related work she could confidently talk about in interviews.
Now think of Alex, a self-taught coder stuck in endless beginner tutorials. He joined our Software Engineering Trackand started working on live SaaS deployments. He:
Today, he’s thriving at a major tech firm and openly credits the combination of mentorship, structure, and exposure to real systems as the turning point in his journey.
Stories like these define our programs: they’re designed as on-the-job learning experiences, where you acquire job‑ready skills by working on real challenges — not just watching tutorials about them.
Let’s be crystal clear from the very beginning:
🔍 This is an unpaid, training-focused apprenticeship.
That means:
We’re putting this front and center because we want you to join with eyes wide open. If you’re here for growth, challenge, and transformation — read on. If you need a paid role right now, we respect that, and this program may not be the right fit.
Our apprenticeships are designed to align with the U.S. Fair Labor Standards Act (FLSA) and similar guidance around training programs:
This isn’t free labor. It’s a training environment built to accelerate your skills, not to exploit them.
There are many internships, bootcamps, and volunteer opportunities out there. Most don’t offer the depth, structure, and exposure that we do.
At LunarTech, you’re joining:
This is not a passive tutorial. It’s a structured immersion into how a real AI company operates.
Think of it as your personal epic:
You’re the protagonist. We’re the mentors, tools, and world you get to explore.
This isn’t a “watch and take notes” shadowing experience. From early in the program, you’ll be contributing — under guidance — to real work.
Depending on your track, you might:
You’ll participate in the actual rhythm of a real deep tech startup:
All of this happens in a training-first context. You’re supervised, coached, and supported — and your contributions are scoped so that they are educational, not mission‑critical, keeping the focus firmly on your development.
We know the word “unpaid” can raise eyebrows, and it should — you should always be thoughtful about where you invest your time. So instead of just listing bullet points, let’s walk through what this really means for you in practice.
Imagine looking back after 6 months and being able to say:
“I had senior people reviewing my work every week, I shipped things that mattered, and I finally had a story to tell in interviews that didn’t start with ‘I followed a tutorial…’.”
That’s the kind of value this program is designed to create.
You’re not thrown into a Slack channel and forgotten. You become part of a small circle of people who are actively coached.
Your mentor doesn’t just comment on your code or designs — they explain why something works better a certain way, walk you through trade-offs, and help you build judgment. Over time, you’ll notice you’re:
This kind of ongoing, practical mentorship is something people often pay serious money for in coaching or premium courses.
By the end of the apprenticeship, you don’t just have screenshots or “toy” apps. You have concrete stories:
Alongside this, you get a certificate of completion and, for those who fully commit and perform well, a letter of recommendation that speaks specifically to your real contributions.
Instead of paying for access, you are given scholarship-style access to:
In many other setups, you’d pay for this kind of exposure — here, it’s part of the experience because our goal is to accelerate your learning, not sell you content.
You don’t go through this in isolation. You collaborate with other apprentices and with the core team. Over 6 months of stand-ups, reviews, and shared problem-solving, you naturally build relationships.
Some of those people will go on to work at other companies. Some will stay in the LunarTech orbit. Either way, you walk away with a network that knows your work because they’ve seen it in action.
If you tried to piece together the equivalent on your own — a mix of structured training, real project access, regular 1:1 feedback, and portfolio development — you’d likely be looking at:
Conservatively, the combination of training, resources, and experience you get here would land in the five-figure range if packaged as a paid program. We’re not asking you to pay that. Instead, your investment is your time, energy, and commitment over 6 months.
That doesn’t mean this is the right choice for everyone — but it does mean that if you’re in a position to take on an unpaid, high-value learning experience, the return can be substantial.
Unpaid experiences can be controversial, and that’s a fair conversation to have. We believe strongly that if a program is unpaid, it must be:
Our program is built around principles like the FLSA Primary Beneficiary Test, meaning:
In addition, we use standard agreements like NDAs, MoUs, and IP/confidentiality clauses to protect everyone’s work and privacy. You’ll always know what you’re signing — and we encourage you to read every document carefully and ask questions.
(Important note: nothing in this blog is legal advice; it’s a high-level explanation of how we think about fairness and structure.)
This program is likely a good fit if you:
This program is probably not for you if:
Neither path is “right” or “wrong” — they’re just different. We want apprentices who genuinely see this as a deliberate investment in their long-term growth.
Q: Is this really unpaid?
A: Yes. The apprenticeship is unpaid. You do not receive wages, salary, or employee benefits. The value you gain is in skills, portfolio, experience, mentorship, and access to resources.
Q: What if I need flexibility?
A: The program is remote and typically 20–25 hours per week. There is structure — meetings, deadlines, and responsibilities — but we work with apprentices to accommodate reasonable personal and academic commitments.
Q: Can I put this on my CV or LinkedIn?
A: Absolutely. This is legitimate experience in a real AI company. You’ll have concrete contributions to describe, and — upon successful completion — a certificate and possibly a letter of recommendation.
Q: Is there a catch?
A: There’s no hidden catch, but there is a clear expectation: commitment. We invest significant time mentoring and training apprentices. In return, we expect professionalism, reliability, and effort.
Q: How are apprentices selected?
A: Our process typically includes:
Q: Is there a chance of a paid role afterward?
A: There is no guarantee. However, strong performers may be considered for paid roles or extended collaboration where it makes sense for both sides. The apprenticeship is designed to make you far more competitive in the broader job market — including, potentially, with us.
To avoid any confusion, here’s a simple summary of key terms:
If this resonates with you, here’s your next step:
At LunarTech, we’re not just building AI products — we’re helping forge the next generation of creators, engineers, designers, and strategists who will shape what AI becomes.
Your story doesn’t start “someday.” It can start with this 6‑month odyssey.
Are you in?
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