Temporary | Fully Remote | Legal Editors | £175 per day

Love Success
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Football Data Scientist | Manchester United FC

Machine Learning Engineer

Product Performance and Data Scientist

Product Performance and Data Scientist

Product Performance and Data Scientist

Product Performance and Data Scientist

Job Description

Temporary | Fully Remote | Legal Editors | £ per day

Our Global Legal Publishing client is looking for multiple Resources Supporting the Review of LLM Generated Output of UK Legal Content, you must have an LLB and 1-5 years’ litigation experience.

*Will consider an LLM degree plus other experience, but if you do not have this, your application will not be considered.

They have a fantastic project testing the efficiency of AI for Legal Practitioners! It’s a very exciting project and an opportunity to test the efficiency of the hot topic of AI.

-Start date: 17th June

-End date/extension: 8 weeks/potential for extension

-Location: Remote UK

-Hours per week: 35 - Flexible on hours but must be Monday-Friday 

-Pay Rate: £ plus holiday

JOB DESCRIPTION:

This project will test the outputs from a Large Language Model (LLM) that is being tested for the creation of AI-generated draft legal content, including memos and briefs; summaries of legal content types, including opinions and statutes; and research answers.

Using Excel and other tools, a portion of the work will involve creating inputs/prompts for an LLM and analysing outputs from the model for model training.

Editors may be asked to evaluate outputs for specific legal content against a set of required elements.

The editors may also be asked to evaluate the accuracy of both the summary, answer, and draft content and any statutory rules or case citations contained within the output.

Editors will be required to provide assessment rating feedback and to provide additional feedback commentary, as necessary.

QUALIFICATIONS AND EXPERIENCE:

Law degree required. Qualified solicitor. 1 to 5 years’ litigation experience. Strong legal research and legal analysis skills with a high degree of familiarity with content/documents. Experience in providing high-quality feedback rating analysis as well as additional comments on products being tested. Experience providing a large volume of work in accordance with quotas that may be set. Must have working knowledge of Excel spreadsheets. Ability to work with multiple software-based tools.

ABOUT YOU:

Ability to learn quickly and to work in an agile manner, shifting/pivoting to new assignments as needed. Strong attention to detail. Good written communication skills. Comfortable asking questions.

Please do not apply if you do not have ALL the above, the client will not consider your application without the above criteria. You must have a Law degree and be a qualified solicitor with 1-5 years of experience, research and analysis experience and advanced Excel. You must be available immediately and be able to commit to the full duration of the role.

Love Success is a top recruitment agency based in London, dedicated to connecting exceptional administrative and office support staff with the leading businesses across London and the UK. Whether you're a candidate seeking Personal Assistant roles in London or an employer looking to hire administrative and office support staff, our agency provides high-quality recruitment services tailored to your needs.

At Love Success, we champion diversity, equity, and inclusion, embedding these values into every aspect of our operations. Our unwavering commitment to these principles is evident in our recruitment practices and our comprehensive training and development programs. We partner with organisations that share our dedication to fostering diverse and inclusive workplaces, where individuals can be their true selves in the workplace. Together, we strive to promote equality and create opportunities for all.

Love Success is proud to serve as an Employment Agency for this vacancy.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.