Rex.zone
Data Generalist

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Explore full-time remote Data Generalist jobs in London for 2026 at Rex.zone. Power AI training pipelines through expert data labeling, RLHF evaluation, and quality assurance for large language models.
Core Responsibilities in AI/ML Training Workflows
Your day-to-day operations will revolve around strict annotation guidelines compliance and complex content safety labeling. You will execute high-fidelity named entity recognition tasks and manage diverse datasets to refine LLM training pipelines. By conducting continuous QA evaluation and collaborating with our global remote engineering teams, you will ensure that all data inputs meet the rigorous standards required for next-generation AI model performance improvement.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Skills And Qualifications


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Ideal candidates for these mid-senior Data Generalist roles possess a deep, practical understanding of AI data operations. You must demonstrate proven success in data labeling, RLHF workflows, and large language model evaluation. Exceptional analytical skills, meticulous attention to detail, and the ability to thrive in a fully remote, full-time environment are critical. Previous experience working with specialized annotation vendors, BPOs, or leading AI tech startups is highly advantageous.
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