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- Tasks: Train AI models and solve complex maths problems to enhance chatbot performance.
- Company: Join DataAnnotation, a leader in AI research with a focus on innovation.
- Benefits: Flexible remote work, choose your projects, and earn $40+ per hour.
- Why this job: Make a real impact in AI while honing your mathematical skills.
- Qualifications: Strong maths background and detail-oriented mindset required.
- Other info: Independent contract role with excellent earning potential.
We are looking for an ESL Teacher 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 linguistics. You will have conversations in both Thai and English with chatbots in order to measure their progress, as well as write novel conversations in order to teach them what to say.
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 $20+ USD per hour, with bonuses on high-quality and high-volume work
Responsibilities
- Give AI chatbots writing and editing tasks and evaluate their outputs
- Evaluate the quality produced by AI models for correctness and performance
Qualifications
- Fluency in English and Thai
- Detail-oriented
- Excellent command of grammar, style, and brand voice
- A current, in progress, or completed Bachelor\’s degree is preferred but not required
Notes
Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Thailand will be considered for this role. This is an independent contract position.
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Academic Research Assistant employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Academic Research Assistant
✨Tip Number 1
Network like a pro! Reach out to your connections in the academic and tech fields. Let them know you're on the hunt for an Academic Research Assistant role. You never know who might have a lead or can put in a good word for you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your mathematical reasoning and any relevant projects you've worked on. This will give potential employers a taste of what you can bring to the table, especially when it comes to training AI models.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and mathematics. Practice explaining complex concepts in simple terms. This will help you demonstrate your expertise and make a great impression during the interview process.
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get those applications in and let’s get you started on an exciting journey!
We think you need these skills to ace Academic Research Assistant
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your mathematical reasoning skills in your application. We want to see how you can tackle complex problems, so don’t hold back on showcasing your expertise in arithmetic, algebra, and beyond!
Tailor Your Application: Take a moment to customise your application for the Academic Research Assistant role. Mention specific experiences that relate to training AI models or evaluating their outputs. This helps us see why you’re the perfect fit!
Be Detail-Oriented: Since we’re looking for someone detail-oriented, make sure your application is free from typos and errors. A polished application shows us you care about quality, just like we do at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it’s super straightforward!
How to prepare for a job interview at DataAnnotation
✨Know Your Maths Inside Out
Since the role requires expert-level mathematical reasoning, brush up on your arithmetic, algebra, geometry, calculus, and statistics. Be prepared to discuss complex problems and demonstrate your thought process during the interview.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenging problems in the past. This could involve discussing specific projects or situations where you evaluated outputs and improved quality. Highlighting your analytical skills will impress the interviewers.
✨Familiarise Yourself with AI Models
Understand the basics of AI chatbots and how they function. Being able to discuss their logic and performance evaluation will show that you're not just a maths whiz but also someone who can apply that knowledge in a practical context.
✨Be Detail-Oriented
As the job requires a keen eye for detail, practice articulating how you ensure accuracy in your work. Whether it's through double-checking calculations or methodically evaluating outputs, demonstrating this trait will resonate well with the interviewers.
