Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Research Writers (Finance & Accounting)

Upwork
Belfast
6 months ago
Applications closed

Related Jobs

View all jobs

Research Engineer, Machine Learning - Paris/London

Research Associate in Physics-Informed Machine Learning for Crowd Dynamics

Research Engineer - Machine Learning

Research Associate in Physics-Informed Machine Learning for Crowd Dynamics

Research Scientist (Machine Learning)

Research Scientist (Machine Learning)

Job Description

As a Research Writer, you will:

  • Conduct in-depth research on various topics to generate factually accurate, high-quality content for LLM training.
  • Write, edit and refine instructional datasets, including dialogues, summaries, explanations, and multi-turn conversations.
  • Ensure linguistic clarity, coherence, and adherence to ethical AI guidelines.
  • Review, validate, and refine model-generated outputs for accuracy and relevance.
  • Collaborate with AI engineers, data scientists, and linguists to improve the LLM’s comprehension and reasoning abilities.


Qualifications

To be successful in this role, you need:

  • A PhD in a field related to the domain is required.
  • Experience in research writing, technical writing, content curation, and/or AI data annotation is required.
  • Strong understanding of Natural Language Processing (NLP), Machine Learning (ML), and Large Language Models (LLMs) is required.
  • Excellent writing, editing, and analytical skills with a focus on accuracy and clarity, in English, are required.
  • The ability to synthesize complex information into digestible content is required.
  • Familiarity with AI model training workflows, prompt engineering, and/or data augmentation techniques is preferred, but not required.



Additional Information

 

100% Remote role

Highly flexible

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.