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- Tasks: Train AI models by evaluating their logic and solving complex math problems.
- Company: Join a dynamic team focused on advancing AI technology.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at $40+ per hour.
- Why this job: Make an impact in AI while working on projects that interest you.
- Qualifications: Fluency in English and proficiency in advanced math or data science required.
- Other info: Payment via PayPal; available only to applicants in select countries.
We are looking for a data engineer 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: Statistics, Applied Math and/or Computer Science.
Benefits:
This is a full-time or part-time REMOTE position
You’ll be able to choose which projects you want to work on
You can work on your own schedule
Projects are paid hourly starting at $40+ USD 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 data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/ deductive reasoning
A current, in progress, or completed Masters and/or PhD is 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. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.
Job Types: Full-time, Part-time
Pay: From £31.67 per hour
Expected hours: 1 – 40 per week
Work Location: Remote
Data Engineer - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - AI Trainer
✨Tip Number 1
Familiarize yourself with the latest AI models and their evaluation metrics. Understanding how to measure the performance of AI chatbots will give you an edge in discussions during the interview process.
✨Tip Number 2
Brush up on your mathematical reasoning skills, especially in areas like statistics and calculus. Being able to demonstrate your problem-solving abilities with complex math problems will be crucial for this role.
✨Tip Number 3
Engage with online communities or forums related to data science and AI. Networking with professionals in the field can provide insights and potentially lead to referrals for the position.
✨Tip Number 4
Prepare to discuss your experience with data science tools and programming languages. Highlight any projects where you've applied your skills in a practical setting, as this will showcase your hands-on experience.
We think you need these skills to ace Data Engineer - AI Trainer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize any experience you have in data science, mathematics, or AI training. Mention specific projects or roles where you've applied your skills in arithmetic, algebra, calculus, or statistics.
Showcase Your Education: If you have a Masters or PhD, be sure to include this prominently in your application. If you're currently pursuing one, mention your expected graduation date and relevant coursework.
Demonstrate Problem-Solving Skills: Provide examples of how you've solved complex problems in the past, especially those related to AI or data evaluation. This will show your ability to improve model quality effectively.
Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements and responsibilities mentioned in the job description. Use keywords from the listing to make your application stand out.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Mathematical Expertise
Be prepared to discuss your mathematical background in detail. Highlight any relevant coursework or projects, especially those related to statistics, applied math, or computer science. This will demonstrate your capability to handle complex problems that the role requires.
✨Demonstrate Problem-Solving Skills
During the interview, be ready to tackle some sample problems or scenarios that reflect the challenges you might face in the role. This will give you a chance to showcase your analytical thinking and how you approach problem-solving.
✨Familiarize Yourself with AI Models
Research common AI models and their evaluation metrics. Understanding how to measure the performance of AI chatbots will show your proactive approach and genuine interest in the position.
✨Communicate Clearly and Confidently
Since fluency in English is crucial, practice articulating your thoughts clearly. Use specific examples from your experience to illustrate your points, and don't hesitate to ask clarifying questions if needed during the interview.
