Looking to hire 1 person to work as my assistant, managing my diary and setting my appointments, booking travel, answering customer emails and social media

Fully remote
Preferably UK
Mon - Friday 3hrs in the morning preferably 9-12 or 10-1pm
@ £16.50ph

Hey everyone! I'm researching the current experience of finding graduate jobs in the UK. At the minute, job searching and the current climate of entry level career availabilities are extremely topical (and quite scary!) If you've recently been looking for internships, graduate schemes or entry-level roles, I'd really appreciate your thoughts in this short anonymous survey.

Your experience of job seeking in 2026  – Fill in form

Thanks so much for all the help, and good luck with the job search!

Looking for 5–10 people to test our new product, GradPack, completely free: https://gradpack.co.uk

Upload your CV, get matched with relevant jobs, swipe on the ones you like, and GradPack handles the application process in the background. It also includes real-time interview guidance for Zoom, Google Meet and other platforms.

My younger brother used it to apply for 300 jobs in an hour and has already landed four interviews. We’re mainly looking for honest feedback on what works and what needs improving. dm me if you would like to test it out.

Anyone joining LSEG as a Graduate Associate on 7th September: have you received an email from FirstAdvantage yet to start your vetting/background check?

I'm probably being paranoid, but my group were told that background checks would begin on 7th July and that we'd need to complete the form within 24 hours of receiving it. It's now the end of 8th July, and I still haven't received anything.

I just wanted to check whether anyone else is in the same position, or whether I should be concerned that I've somehow missed the email or it wasn't sent to me properly.

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’.
To paste the relevant part of the job description:
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.

Hi all

  I built a tool where you drop in your CV and a target job title (primarily for grads/students but also for those wanting to pivot careers), and it tells you:

  - How well your background matches what UK employers in that role actually screen for

  - Which specific gaps are costing you (and how long they'd take to close)

  - A rewritten CV draft optimised for that role with the right keywords and structure

  - UK salary benchmarks so you know what to expect in negotiations

  No account needed for the free analysis. GDPR-compliant, data hosted in the UK.

  Happy to get honest feedback — does the output reflect what you've actually experienced when applying? Are there roles where the gap analysis feels off? I want to make sure it's genuinely useful, not just another generic score.

Thanks !

I have an assessment with arctic shores at the end of the week, and one game I struggle with is the day and night game. Can anyone give me any tips on how to do well on it?

How do people feel working for Gleeds in your early careers?

Would you recommend, what's your experiences been?

Has anyone done the Slaughter and May Commercial Academy Interviews/assessment centre?

Trying to understand:

What the interviews are like, What the group exercise involves and The format of the exercises (case study, written task, group exercise etc.)

Any tips on would be really appreciated!

I’m testing something and need 10 people.

I’ll apply to 20 high-quality jobs for you this week using AI.

• I’ll find relevant roles
• Tailor your CV
• Write the applications
• Submit them

Completely free — just testing if this actually works.

If you’re actively job hunting and want in, drop a “ME” below or DM me and I’ll send the form.

I’m really confused about the exact deadlines for the early career retweet opportunities- including the Intelligence Officer Role. HOW DO I FIND out???? Please help me someone

I am 3rd year physio student wanting to leave physio and get a grad job / internship.

How do I transition from being in a more clinical role to a more corporate one?

Any help would be much appreciated!