National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

AI Trainer for Chemistry (College Degree Required)

Alignerr
Leeds
2 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Data Scientist - AI Trainer

AI Trainer

Freelance Data Analyst (Python) - AI Trainer

Freelance Data Analyst (Python) - AI Trainer

Remote: Online Data Analyst - English Speakers living in United Kingdom

Alignerr.com is a community of subject matter expertsfrom several disciplines who align AI models by creatinghigh-quality data in their field of expertise to build the futureof Generative AI. Alignerr is operated by Labelbox. Labelbox is theleading data-centric AI platform for building intelligentapplications. Teams looking to capitalize on the latest advances ingenerative AI and LLMs use the Labelbox platform to inject thesesystems with the right degree of human supervision and automation.Whether they are building AI products by using LLMs that requirehuman fine-tuning, or applying AI to reduce the time associatedwith manually-intensive tasks like data labeling or findingbusiness insights, Labelbox enables teams to do so effectively andquickly. Current Labelbox customers are transforming industrieswithin insurance, retail, manufacturing/robotics, healthcare, andbeyond. Our platform is used by Fortune 500 enterprises includingWalmart, Procter & Gamble, Genentech, and Adobe, as well ashundreds of leading AI teams. We are backed by leading investorsincluding SoftBank, Andreessen Horowitz, B Capital, GradientVentures (Google's AI-focused fund), Databricks Ventures, SnowpointVentures and Kleiner Perkins. About the Role Shape the future of AIin Chemistry This innovative role as an AI Trainer - Chemistryoffers a unique opportunity to leverage your subject-matterexpertise and develop your AI skills. You will play a pivotal rolein training AI models, ensuring the accuracy and relevance ofChemistry content generated by AI. This position allows forflexible scheduling, and your contributions will directly impactthe advancement of AI in Chemistry. Your Day to Day - Educate AI:Analyze and provide feedback on AI-generated outputs related toChemistry Your guidance will directly improve the AI's accuracy andability to apply its knowledge to real-world problems. - ProblemSolving: Using your expertise, you will provide step-by-stepsolutions and explanations to complex problems in Chemistry. Thiscould include balancing chemical equations, identifying reactionmechanisms, solving stoichiometry problems, explainingthermodynamic principles, and analyzing organic chemistrystructures, etc. Your input will be crucial in teaching the AI howto reason through these problems effectively. - Red Teaming:Utilize your deep understanding of the field to identify potentialbiases, limitations, or inaccuracies in the AI's knowledge base.Design and conduct tests that push the boundaries of the model'sunderstanding, ensuring its outputs are reliable and applicable toreal-world scenarios. - You create your own working hours dependingon project length. About You - Enrolled in or have completed anAssociates’ degree or higher from an accredited institution. -Chemistry, Analytical Chemistry, Biochemistry, Inorganic Chemistry,Organic Chemistry, Physical Chemistry, Environmental Chemistry,Materials Chemistry, Medicinal Chemistry, Theoretical Chemistry,Polymer Chemistry, Chemical Engineering - Possess a strong writingstyle with excellent English-language spelling and grammar skills.- Have a critical eye and the ability to clearly articulate thestrengths and weaknesses of written text. - Professional writingexperience as a researcher, journalist, technical writer, editor,or similar roles - Interest in AI and machine learning conceptsImportant Information This is a freelance position compensated onan hourly basis. Please note that this is not an internshipopportunity. Candidates must be authorized to work in their countryof residence, and we do not offer sponsorship for this 1099contract role. International students on a valid visa may beeligible to apply; however, specific circumstances should bediscussed with a tax or immigration advisor. We are unable toprovide employment documentation at this time. Compensation ratesmay vary for non-US locations. Pay Range (rate per hour) $15—$150USD Excel in a remote-friendly hybrid model.We are dedicated toachieving excellence and recognize the importance of bringing ourtalented team together. While we continue to embrace remote work,we have transitioned to a hybrid model with a focus on nurturingcollaboration and connection within our dedicated tech hubs in theSan Francisco Bay Area, New York City Metro Area, and Wrocław,Poland. We encourage asynchronous communication, autonomy, andownership of tasks, with the added convenience of hub-basedgatherings. Your Personal Data Privacy: Any personal informationyou provide Labelbox as a part of your application will beprocessed in accordance with Labelbox’s Job Applicant Privacynotice. Any emails from Labelbox team members will originate from email address. If you encounter anything that raisessuspicions during your interactions, we encourage you to exercisecaution and suspend or discontinue communications. If you areuncertain about the legitimacy of any communication you havereceived, please do not hesitate to reach out to us for clarification andverification.

National AI Awards 2025

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 Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.