Data Curation Lead

Location : Fully Remote (UK)

Salary: £55,000 - £60,000

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

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.

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.

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.

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.

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:

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.

A genuine feel for taxonomy, classification, and structured data - you understand why getting this right matters and what "right" actually looks like

Hands-on experience working with data - connecting it, cleaning it, structuring it, making it useful

Self-direction - you identify problems worth solving and get on with it without waiting for a brief

An eye for quality - you notice when something is off and you care enough to fix it

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

Strong problem-solving instinct - you spot issues, figure out an approach, and get on with it

Comfortable working with new tools and technologies - you pick things up quickly and find practical applications

Clear communicator - able to talk to multiple stakeholders

The right to live and work in the UK

What we'd love, but won't insist on:

Experience in legal, professional services, or publishing

Commercial instinct - understanding the business value of what you're producing

Familiarity with knowledge graph concepts, ontologies, or information architecture

Experience with legal entity data (law firms, corporations, deal structures)

What This Is Not

An AI engineer or developer role - this role uses AI, it doesn't build it

A BI analyst or reporting specialist - there are no dashboards here

A prod…