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

Nominate & Attend

AI Training for Mathematics (Freelance, Remote)

Alignerr
Manchester
7 months ago
Applications closed

Related Jobs

View all jobs

Applied AI ML Associate - Machine Learning Scientist – Machine Learning for Technology

Senior Data Scientist

Machine Vision Internship – Paid AI Opportunity

AI Research Engineer, PhD

Machine Learning Researcher

Machine Learning Engineer

Alignerr.com is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.

Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.

 

About the Role

As an AI Tutor, Mathematics, you will play a crucial role in advancing the capabilities of cutting-edge artificial intelligence. Your expertise will be leveraged to label and annotate complex mathematical data, providing the foundation for training and refining AI models. You will work on projects involving a wide range of mathematical concepts, ensuring that AI systems can understand, interpret, and solve problems with human-level accuracy. This is a project-based, remote freelance role.

Your Day to Day

  • Data annotation: Accurately label and categorize mathematical expressions, equations, proofs, word problems, and other relevant data.
  • Concept mapping: Connect mathematical concepts and establish relationships between different areas of mathematics to help AI models understand the underlying structure of the subject.
  • Problem-solving verification: Analyze AI-generated solutions to mathematical problems, identifying errors and providing feedback to improve model accuracy.
  • Curriculum development: Contribute to the development of comprehensive training datasets that cover a wide range of mathematical concepts and difficulty levels.

About You

We are seeking highly motivated individuals with a strong foundation in mathematics and a passion for shaping the future of AI. You should be comfortable working independently, have excellent analytical skills, and be detail-oriented. We have three levels of expertise for this role:

  • Level 1 (Bachelor's Level): Strong understanding of arithmetic, algebra, geometry, trigonometry, and basic calculus. Ability to solve math word problems and familiarity with basic probability and statistics.
  • Level 2 (Master's Level): In addition to Level 1 requirements, proficiency in calculus and advanced math concepts like linear algebra, differential equations (ordinary and partial), and discrete mathematics. Familiarity with mathematical model building and basic game theoretic concepts.
  • Level 3 (PhD Level): Expert-level understanding of advanced mathematical concepts, including theorem proving, complex analysis, abstract algebra, topology, and advanced statistical modeling techniques. Experience with research and the ability to explain complex mathematical concepts clearly.

For all levels:

  • Excellent problem-solving skills and analytical thinking ability.
  • Strong attention to detail and a commitment to accuracy.
  • Ability to work independently and manage time effectively.
  • Excellent written and verbal communication skills.
Pay Range (rate per hour)
$15$60 USD

Excel in a remote-friendly hybrid model.We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.

Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications. If you are uncertain about the legitimacy of any communication you have received, please do not hesitate to reach out to us at  for clarification and verification.

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.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.