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

Apply Now

Freelance Economist - AI Tutor

Mindrift
8 months ago
Applications closed

Related Jobs

View all jobs

Freelance Project Manager (AI & Machine Learning)

Data Scientist Python Software - London (IT) / Freelance

About the Company

Welcome toMindrift— a space where innovation meets opportunity. We’re a pioneering platform dedicated to advancing the field of artificial intelligence through collaborative online projects. We focus on creating data for Generative AI, offering a unique chance for freelancers to contribute to AI development from anywhere, at any time - without the need to be developers.

AtMindrift, we believe in the power of collective intelligence to ethically shape the future of AI. Our platform allows users to dive into a variety of tasks — ranging from creating training prompts for AI models to refining AI responses for better relevance.

About the Role

Generative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills.

In this role, you will develop complex question-answer pairs and create scoring criteria (rubrics) to evaluate and grade the quality of responses. Your work will involve:

  1. Generating prompts that challenge the AI and are likely to produce incorrect responses.
  2. Defining comprehensive scoring criteria for evaluating the correctness of the AI's answers.
  3. Correcting the AI's responses based on domain-specific knowledge.

Requirements

  • You have aMaster’s degreein Economics, Applied Economics, International Economics, or related fields.
  • You haveat least 3 years of professional experiencein the relevant domains: Behavioral Economics, Econometrics, Macroeconomics, Microeconomics, Development Economics, International Economics, Labor Economics, Environmental Economics, Health Economics, Public Economics, etc.
  • Your level of English is advanced (C1) or above.
  • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.
  • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.

Benefits

  • Take part in part-time, remote, freelance projects that respect your primary professional or academic commitments.
  • Try your hand at an AI project and enrich your portfolio with new experiences.
  • Make a tangible impact on the quality of AI.

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 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.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.