Startup offer as a graduate

I am just wanting some advice.
Firstly, I am in the uk, I have recently finished uni (haven’t technically graduated yet, but I will shortly), and I’ve struggled to find a job, I wanted asset management, but was applying to loads of roles in “finance”. I got two final rounds, 1 very good, 1 alright, for asset management, but didn’t actually secure anything, I went on a bit of an application spree, applied to anything that sounded cool, paid well, or where I believed it could lead to things I’d want, and ended up with one offer at a startup (where I applied because of good pay for a grad).
The people I’ve met so far seem nice, and pretty impressive, co founders with relevant experience to what the startup does, one of them with a technical background.
What I’m unsure of is where this can lead, what path this puts me on, the startup is likely to be unsuccessful (as in all startups are), so I’m worried about in a years time, 2 years time, how hard it’ll be for me to find work, and what this work would be, and what the pay would be…
Even if it is successful, it won’t make me enough to retire, so I still need to know what options are available to me when I choose to leave, or have to find new work.

The role itself:
The main part is checking the output from the ai, and working out why it gets things wrong, so that could be bad prompts, it could be the ground truth was actually wrong, it could be something to do with how the system itself works. This is what I gather from one of the application rounds, which was a ‘case study’.
I’m going to paste the relevant part of the job description for those who want to read it:
Position Overview:
We’re looking for someone to sit at the intersection of product, AI / LLM engineering, and data operations. You’ll be responsible for shaping how our AI learns and improving the accuracy, reliability and intelligence of the system that powers our AI (specific industry) platform.

This is a highly impactful and hands-on role for someone who blends analytical capability with operational discipline. You’ll design the standards that define “high quality AI”, manage the process and creation of datasets that train and evaluate our models, investigate why AI gets things wrong, and work directly with engineering to drive measurable improvements. Your work will directly impact model accuracy, client outcomes, and product success.

Key Responsibilities:

Ground Truth & Data Labelling Operations:
• Own the creation and ongoing improvement of high-quality ground-truth datasets used for training and evaluation
• Develop and refine labelling guidelines to ensure consistency and clarity for offshore labelling teams
• Manage and audit labelled data to ensure quality, reliability, and throughput targets are achieved

AI / LLM Model Investigation & Improvement
• Investigate inaccurate model outputs to identify root causes and recurring patterns
• Develop hypotheses around failure modes (e.g., document structure, formatting issues, ambiguous wording, model misinterpretation)
• Work directly with engineering to design experiments, validate improvements, and measure impact before release

Cross-Functional Collaboration
• Partner with product management to ensure evaluation priorities align with business and client needs
• Work closely with engineers to influence technical direction, testing strategy, and model development
• Provide clear insight and structured reporting to internal and external stakeholders on AI performance and reliability

Testing & Release Validation
• Develop and execute test plans for model updates and new capabilities
• Sign off release readiness based on objective performance standards and acceptance criteria
• Communicate improvements and accuracy changes clearly with relevant teams and stakeholders

Other info, so the startup is pre seed, low single digit millions raised, from interviews I’ve learnt they are going for another round of funding soon (not sure if series A), and they apparently don’t need to, so I assume pretty good runway.
I would be the 10th -20th employee, and would be given equity of 0.15%…
As I say, salary his higher than most grad roles, but they were (or at least the job description said) they wanted someone with 2+ years of experience, and the salary is still lower than it would be at faang for example.

I can’t think of anything else right now that may be relevant.
Essentially I want to know where this role could lead, as I say, it’s the only offer I have, it wasn’t what I planned on doing, but beggars can’t be choosers, though I do not mind waiting and applying, taking a year out to apply, to find a role maybe “better” or more what I was wanting. And so I guess I also want advice on what to do, in addition to people who know more than me telling me where they think this role can lead.

Thank you very much to everyone who read all this (or some of it), and let me know if there are other places I should be asking this.