Legal Data Annotation Lead

England, London
£75000 - £100000 per annum + +
17 May 2024
14 Jun 2024
JN -022024-6346500
Nellie Russell-Hughes
Job Title
In House Counsel
Practice Area
Commercial Contracts
Contract Type
Full Time

They're looking for passionate, resourceful and collaborative people to join Robin. If you're motivated about leveraging technology to make essential business services more accessible, get in touch!

Client Details

About Robin AI

Robin AI is on a mission to revolutionise the legal industry by simplifying contracts and making law accessible to everyone. They utilise cutting-edge machine learning and contract software, enhancing traditional legal services and bringing together experts in engineering, AI, and law. Robin AI has recently raised $26m in Series B funding and has seen an impressive 5x revenue growth in the last 12 months.


About this role

Robin AI is seeking a detail-oriented Legal Data Annotation Lead to oversee the annotation process of their training data for machine learning models in the legal domain. You will create taxonomies for new contract types, and manage and quality control annotation projects and teams working with a range of legal documents. As part of the Legal Engineering team, you will be at the forefront of the development at Robin AI, shaping their company-wide approach to data collection and data annotation. You will collaborate closely with legal engineers and machine learning specialists to develop new AI models that power their platform. You will also partner with their Implementation team to ensure the successful delivery of new product offerings to clients, providing key insights into model training data needs.

What you'll do

  • Develop and document annotation guidelines and taxonomies for legal datasets including contracts, case law, and other legal documents.
  • Recruit, train, and manage data annotation teams with a focus on accuracy, consistency and productivity.
  • Continuously monitor annotation quality through statistical analysis and auditing.
  • Work closely with machine learning engineers to iteratively improve guidelines and datasets.
  • Research and implement new annotation tools and approaches, specifically through leveraging the capabilities of Large Language Models.



  • 4+ years experience working on data annotation, data labelling, discovery or due diligence projects, and experience managing reviewers as part of these projects.
  • Deep understanding of legal documents like contracts and case law. You will have ideally worked in a contract management/review role previously and have experience with a range of legal contracts of varying complexities.
  • Experience developing annotation guidelines and quality assurance protocols.
  • Ability to recruit, train, and manage skilled annotation team members.
  • Data science skills such as statistical analysis and sampling for quality control.
  • Technically savvy with annotation tools and workflows.
  • Proven leadership and project management abilities.
  • Ability to work cross-functionally with engineering, product, and implementation teams.
  • Excellent communication, presentation, and documentation skills.
  • Sharp attention to detail and process orientation.
  • Bachelor's degree in a relevant field like linguistics, data science, law or paralegal studies.

Job Offer

Compensation at Robin AI

  • Salary: £75,000 - £100,000
  • Generous Equity package: When you help build Robin AI, everyone deserves to be an owner.
  • Please Note: If your salary expectations look a little different to that outlined, we'd still be keen to hear from you if this is a role that excites you and one that you think you could really excel in.

****We also encourage applicants not based in London to apply for this role****

Benefits at Robin AI

At Robin AI, they put humanity first- they believe a great product is inextricably linked to a great internal community.

THey're a quickly growing, cross-functional team that values supporting each other's development. As part of the team, you can expect:

  • 25 days PTO, excluding bank holidays, cultural leave, and birthday leave
  • Unlimited, trust-based sick leave
  • Enhanced gender-neutral parental leave
  • Technology to enable you to work seamlessly from the office or home
  • Focus on continual learning and development
  • Free healthy breakfast on Tuesdays, cinnamon rolls on Thursdays, and a fridge of beverages ordered to request!