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

Apply Now

Data Science Specialist – AI Trainer

Invisible Expert Marketplace
Newcastle upon Tyne
1 week ago
Applications closed

Related Jobs

View all jobs

Graduate Data Analyst

Data Engineer

Data Science and AI Engineer (KTP Associate) - REDEPLOYEES ONLY

Data Science and Machine Learning Consultant

Data Scientist

Head of Data Science

Join to apply for the Data Science Specialist – AI Trainer role at Invisible Expert Marketplace.

Get AI-powered advice on this job and more exclusive features.

Are you a data science expert eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful engines of analytical discovery. With high-quality training data, tomorrow’s AI can democratize world-class education, keep pace with emerging technologies, and streamline data-driven decision-making for professionals everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.

We’re looking for data science specialists who live and breathe machine learning, statistical modeling, data engineering, data visualization, natural language processing, time series analysis, deep learning, and algorithm development. You’ll challenge advanced language models on topics like supervised learning, unsupervised clustering, regression techniques, model evaluation metrics, feature engineering, anomaly detection, and real-world data pipelines—documenting every failure mode so we can harden model reasoning.

On a typical day, you will converse with the model on project scenarios and theoretical data science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

A master’s or PhD in data science, computer science, statistics, or a closely related field is ideal; peer-reviewed publications, industry projects, experience with cloud platforms, or open-source contributions signal fit. Clear, metacognitive communication—“showing your work”—is essential.

Ready to turn your data science expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.

We offer a pay range of $8-to-$65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor, you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.

Job title: Data Science Specialist – AI Trainer

Employment type: Contract

Workplace type: Remote

Seniority level: Mid‑Senior Level

Seniority level

  • Mid-Senior level

Employment type

  • Contract

Job function

  • Consulting, Training, and Information Technology

Industries

  • Software Development


#J-18808-Ljbffr

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.