Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Train AI models by evaluating their logic and solving complex problems.
- Company: Join a forward-thinking team focused on AI development and innovation.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £30.36 per hour.
- Why this job: Make an impact in AI while working on diverse projects that fit your schedule.
- Qualifications: Fluency in English and strong mathematical skills; advanced degrees preferred but not required.
- Other info: Payment via PayPal; no fees or upfront costs involved.
We are looking for an analyst 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: Data Science, 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 £30.36, 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 data science, 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. PayPal will handle any currency conversions from USD.
Job Types: Full-time, Part-time.
Expected hours: 1 - 40 per week.
Work Location: Remote.
Analyst - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst - AI Trainer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. Understanding the current landscape will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Brush up on your mathematical skills, especially in areas like statistics and probability. Being able to discuss complex mathematical concepts confidently will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI and data science communities. Attend webinars, join relevant online forums, or connect with people on LinkedIn to gain insights and potentially get referrals.
✨Tip Number 4
Prepare to showcase your problem-solving abilities. Think of examples from your past experiences where you've tackled complex issues, as this will be crucial in demonstrating your fit for the role.
We think you need these skills to ace Analyst - AI Trainer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and any relevant experience in AI, data science, or mathematics. Emphasise your educational background, especially if you have a Masters or PhD, and include specific projects or roles that demonstrate your expertise.
Craft a Strong Cover Letter: In your cover letter, explain why you're interested in the Analyst - AI Trainer position. Discuss your passion for AI and how your skills in mathematics and data science make you a great fit for the role. Be sure to mention any relevant projects or experiences that showcase your problem-solving abilities.
Showcase Relevant Skills: Highlight your proficiency in mathematical reasoning, data analysis, and programming languages if applicable. Mention specific areas of mathematics you excel in, such as calculus or statistics, and provide examples of how you've applied these skills in previous roles or projects.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects attention to detail, which is crucial for this role. Consider asking a friend or colleague to review your application as well.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with mathematical reasoning and data analysis. Highlight specific projects or coursework that demonstrate your ability to evaluate AI models and solve complex problems.
✨Familiarise Yourself with AI Concepts
Brush up on the fundamentals of AI and machine learning, especially how chatbots function. Being able to discuss these concepts will show your enthusiasm for the role and your understanding of the responsibilities involved.
✨Prepare for Technical Questions
Expect questions that test your knowledge in areas like statistics, probability, and calculus. Practising problem-solving scenarios related to AI training can help you feel more confident during the interview.
✨Demonstrate Attention to Detail
Since the role requires a detail-oriented approach, be ready to provide examples of how you've ensured accuracy in your previous work. This could include double-checking data, validating outputs, or refining processes.
