Trainer (Working from Home)
Trainer (Working from Home)

Trainer (Working from Home)

Birmingham Full-Time No home office possible
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At a Glance

  • Tasks: Train AI models by solving complex maths problems and evaluating their outputs.
  • Company: Join a forward-thinking team focused on enhancing AI technology.
  • Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £30.88 per hour.
  • Why this job: Make an impact in AI development while working on projects that excite you.
  • Qualifications: Advanced maths skills; Masters/PhD preferred but not mandatory.
  • Other info: Payment via PayPal; no fees required from applicants.

We are looking for a mathematician with an advanced degree to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of mathematical reasoning - a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Applied Math and/or Computer Science.

Benefits:

  • This is a full-time or part-time REMOTE position
  • You will be able to choose which projects you want to work on
  • You can work on your own schedule
  • Projects are paid hourly starting at £30.88 per hour, with bonuses on high-quality and high-volume work

Responsibilities:

  • Give AI chatbots diverse and complex mathematics problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning
  • A current, in progress, or completed Masters and/or PhD is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you.

Job Types: Full-time, Part-time

Expected hours: 1 - 40 per week

Location: Birmingham (required)

Work Location: Remote

Trainer (Working from Home) employer: DataAnnotation

As a remote Trainer with our company, you will enjoy the flexibility of working from home while engaging in meaningful projects that leverage your mathematical expertise. We foster a supportive work culture that prioritises employee growth, offering opportunities to choose your projects and set your own schedule, all while earning competitive hourly rates starting at £30.88 plus bonuses for high-quality work. Join us in Birmingham and be part of a team that values innovation and excellence in AI development.
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Contact Detail:

DataAnnotation Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Trainer (Working from Home)

✨Tip Number 1

Familiarise yourself with the latest advancements in AI and machine learning, especially in relation to mathematical problem-solving. This knowledge will not only help you during interviews but also demonstrate your passion for the field.

✨Tip Number 2

Engage with online communities or forums related to AI and mathematics. Networking with professionals in these areas can provide insights into the role and may even lead to referrals.

✨Tip Number 3

Prepare to discuss specific mathematical concepts and their applications in AI during your interview. Being able to articulate how your expertise can enhance AI models will set you apart from other candidates.

✨Tip Number 4

Showcase any relevant projects or research you've undertaken, particularly those that involve evaluating algorithms or working with AI. This practical experience can significantly bolster your candidacy.

We think you need these skills to ace Trainer (Working from Home)

Advanced Mathematical Reasoning
Proficiency in Arithmetic
Algebra Skills
Geometry Knowledge
Calculus Expertise
Probability and Statistics
Inductive and Deductive Reasoning
Attention to Detail
Problem-Solving Skills
Experience with AI Model Evaluation
Fluency in English
Time Management
Adaptability to Remote Work
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your mathematical expertise and any relevant degrees, especially if you have a Masters or PhD. Include specific examples of your experience with AI models or related fields like Applied Math or Computer Science.

Craft a Strong Cover Letter: In your cover letter, express your passion for mathematics and AI. Discuss how your skills align with the responsibilities of the role, particularly in evaluating AI outputs and solving complex problems.

Showcase Relevant Skills: Clearly outline your proficiency in arithmetic, algebra, geometry, calculus, probability, and statistics. Use bullet points to make these skills stand out, as they are crucial for the position.

Proofread Your Application: Before submitting, carefully proofread your application for any errors. A detail-oriented approach is essential for this role, so ensure your application reflects that quality.

How to prepare for a job interview at DataAnnotation

✨Showcase Your Mathematical Expertise

Be prepared to discuss your mathematical background in detail. Highlight any advanced degrees or relevant coursework, especially in areas like calculus, statistics, and logic. This will demonstrate your capability to train AI models effectively.

✨Prepare for Problem-Solving Scenarios

Expect to tackle complex mathematical problems during the interview. Practise explaining your thought process clearly, as this will showcase your reasoning skills and ability to evaluate AI outputs.

✨Demonstrate Attention to Detail

Since the role requires evaluating the quality of AI models, emphasise your detail-oriented nature. Provide examples from past experiences where your attention to detail made a significant impact on a project.

✨Familiarise Yourself with AI Concepts

Brush up on basic AI principles and how they relate to mathematics. Understanding how AI models function will help you articulate your thoughts during the interview and show your enthusiasm for the role.

Trainer (Working from Home)
DataAnnotation
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