- Location: Fully Remote (UK)
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Salary: £55,000 - £60,000
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Reports to: Head of Product
The Opportunity
We're building a Content Intelligence (CI) pipeline - an AI-powered system that classifies articles, extracts entity references, and feeds a curated canonical database that our downstream products depend on.
The Data Curation Lead owns the quality and integrity of that database.
This is not an engineering role. You won't be building the pipeline. You'll be working with it - shaping the taxonomies and controlled vocabularies it classifies against, managing the curator workspace where extracted entities become managed records, and using AI tools to do that work better, faster, and at greater scale than any manual process could.
The pipeline produces raw material. You turn it into something clean, structured, and trustworthy.
You'll report to the Head of Product and work very closely with the CEO, who brings deep subject matter expertise in legal content intelligence and will be a hands-on collaborator on this work - particularly on taxonomy design, classification logic, and how the data ultimately serves clients.
About Vable
Vable is a legal content intelligence platform. We help law firms and legal teams track the information that matters to their practice - turning a constant flow of legal news, cases, legislation, and deals into structured, actionable intelligence.
We're a small, fully remote team distributed across the UK, Europe, and the US. We move fast, we care about quality, and we're building something genuinely useful in a sector that is being transformed by AI.
What You Will Do
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Taxonomy and controlled vocabularies Owning and developing the classification schemes that drive the pipeline. Keeping them accurate, consistent, and fit for purpose as the platform evolves.
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Entity curation and metadata management: Working the curator queue - reviewing AI-extracted entities, matching them to managed records, creating new canonical entries, resolving duplicates, and maintaining the integrity of the managed database. Owning the metadata that makes records consistent, searchable, and trustworthy.
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Data model stewardship: Understanding the data model deeply enough to spot when something is wrong, propose improvements, and work with the engineering team to implement them.
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AI-augmented workflows: Finding better ways to do all of the above using AI tools. Not in theory - in practice. Testing tools, building workflows, automating the repetitive, and surfacing the genuinely hard problems that still need human judgement.
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Quality and consistency: Setting and maintaining quality standards across the managed database. Identifying patterns in extraction errors and fixing them at root cause - not patching the surface. Feeding that back into classification and extraction improvements.
What We Are Looking For
We need someone who has been actively experimenting with AI tools for data work in the last few months - not because they were asked to, but because they were curious. Someone who saw a problem, reached for the best tools available, figured it out, and built something useful.
You should be able to walk us through that at interview. Specifically. What the problem was, what tools you used, what worked, what didn't, and what you'd do differently. If you can't do that, this role isn't right for you yet.
Essential:
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3-6 years experience in a role that involved hands-on data work — this doesn't need to be law firm/professional services specifically, but it needs to be real: messy data, real constraints, problems you had to solve yourself.
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A genuine feel for taxonomy, classification, and structured data - you understand why getting this right matters and what "right" actually looks like
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Hands-on experience working with data - connecting it, cleaning it, structuring it, making it useful
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Self-direction - you identify problems worth solving and get on with it without waiting for a brief
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An eye for quality - you notice when something is off and you care enough to fix it
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Comfort working in a technical environment - you don't need to write code, but you need to be able to work alongside engineers, understand data models, and think in systems
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Strong problem-solving instinct - you spot issues, figure out an approach, and get on with it
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Comfortable working with new tools and technologies - you pick things up quickly and find practical applications
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Clear communicator - able to talk to multiple stakeholders
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The right to live and work in the UK
What we'd love, but won't insist on:
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Experience in legal, professional services, or publishing
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Commercial instinct - understanding the business value of what you're producing
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Familiarity with knowledge graph concepts, ontologies, or information architecture
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Experience with legal entity data (law firms, corporations, deal structures)
What This Is Not
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An AI engineer or developer role - this role uses AI, it doesn't build it
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A BI analyst or reporting specialist - there are no dashboards here
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A product manager - you'll work closely with product but you're a practitioner, not a coordinator
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Someone whose AI experience is a line on a CV, a course certificate, or a vague familiarity - we need demonstrable, recent, hands-on work
What You Will Get
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Real ownership of a new product area - this is not a feature on someone else's roadmap
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A direct line to the Head of Product & CEO and genuine influence over what gets built and how
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Room to grow within the role
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Work that is visible - in a small team, what you do shows up directly in the product and in client outcomes
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A technically interesting problem at the intersection of structured data, AI-assisted curation, and legal professional services
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Fully remote working (UK)
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Salary £55,000 - £60,000 depending on experience
Why This Role Matters
The CI pipeline is Vable's strategic foundation. Everything we're building for clients - practice area intelligence, deal tracking, regulatory monitoring - depends on the quality of the data that comes out of it.
The Data Curation Lead is the person who ensures that data is trustworthy. Not by following a process someone else designed, but by understanding the problem deeply enough to design better processes themselves.
There is no playbook for this. You'll be writing it. That means jumping into multi-source datasets, diagnosing where quality breaks down, and building the curation workflows that fix it - on your own initiative, without waiting to be told where to start.
If you're the kind of person who gets genuinely interested in why a classification is wrong, who reaches for an AI tool before asking for help, and who finds satisfaction in turning messy data into something clean and useful - we'd like to talk to you.
Ready to Apply?
Submit your CV, cover letter and answer the application question's. The process runs over 2–3 weeks (around 5 hours of your time) and includes an intro call with the People team, various other interviews.
We record recruitment calls with your permission to ensure fairness across our remote team. We hire based on skills, potential and passion, and are an equal opportunities employer
Requirements
Benefits