At a Glance
- Tasks: Design and solve coding problems to train cutting-edge AI systems.
- Company: Join a dynamic team at DataAnnotation, shaping the future of AI.
- Benefits: Fully remote work, flexible schedule, and competitive pay starting at $40+ per hour.
- Why this job: Make a real impact in AI development while enjoying flexibility and autonomy.
- Qualifications: Fluency in English and proficiency in programming languages like Python or JavaScript.
- Other info: Join a community of over 100,000 professionals and grow your career.
Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.
Read all the information about this opportunity carefully, then use the application button below to send your CV and application.
We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.
Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.
To get started, once you sign up for an account, you\’ll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.
Benefits:
-
Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
-
Flexible schedule: choose which projects you take on and when you work.
-
Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance.
-
Impact: help shape the future of AI technologies.
Responsibilities:
-
Design and solve diverse coding problems used to train AI systems.
-
Write clear, high-quality code snippets and detailed explanations.
-
Evaluate AI-generated code for accuracy, performance, and clarity.
-
Provide feedback that directly shapes the next generation of AI models.
Qualifications:
-
Fluency in English (native or bilingual level).
-
Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
-
Excellent writing and grammar skills.
-
A bachelor’s degree (completed or in progress).
-
Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.
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, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.
Physics Tutor employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Physics Tutor
✨Tip Number 1
Get familiar with our platform! Before you dive into applying, take some time to explore the DataAnnotation site. Understanding how we operate will give you an edge during the assessment and help you feel more confident.
✨Tip Number 2
Practice makes perfect! Brush up on your coding skills in the languages we’re looking for. Whether it’s JavaScript or Python, make sure you can tackle those coding problems with ease when you take the assessment.
✨Tip Number 3
Show off your personality! When you get to the assessment, let your unique style shine through. We want to see not just your technical skills but also how you approach problem-solving and communicate your ideas.
✨Tip Number 4
Stay engaged with our community! Join forums or groups related to AI development and coding. Networking can lead to valuable insights and even job opportunities, plus it’s a great way to learn from others in the field.
We think you need these skills to ace Physics Tutor
Some tips for your application 🫡
Read the Job Description Carefully: Before you dive into your application, make sure to read through the job description thoroughly. We want to see that you understand what we're looking for and how you can fit into our team.
Tailor Your CV: Don’t just send us a generic CV! Highlight your relevant experience and skills that match the role of a Physics Tutor. Show us why you're the perfect fit for this position!
Show Off Your Writing Skills: Since excellent writing is key for this role, make sure your application is clear and well-structured. Use proper grammar and spelling, and don’t forget to express your passion for teaching and AI!
Apply Through Our Website: Once you’re ready, hit that application button on our website! It’s the easiest way for us to receive your CV and application, and we can’t wait to see what you’ve got!
How to prepare for a job interview at DataAnnotation
✨Know Your Stuff
Make sure you brush up on your programming languages and frameworks mentioned in the job description. Be ready to discuss your experience with JavaScript, Python, or any other relevant tech. The more confident you are in your skills, the better you'll perform!
✨Showcase Your Problem-Solving Skills
Since the role involves designing and solving coding problems, prepare to demonstrate your thought process. Practice explaining how you approach coding challenges and be ready to tackle a few sample problems during the assessment.
✨Communicate Clearly
Excellent writing and grammar skills are crucial for this position. During the interview, focus on articulating your thoughts clearly and concisely. This will not only help you stand out but also show that you can write high-quality code snippets and explanations.
✨Embrace Flexibility
Highlight your ability to manage your time effectively and adapt to different projects. Since the role offers a flexible schedule, share examples of how you've successfully balanced multiple commitments or projects in the past.