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- 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 challenge.
- Qualifications: Fluency in English and proficiency in programming languages like Python or JavaScript.
- Other info: Join a community of over 100,000 professionals driving innovation in AI.
Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. 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 synthesising insights through data analysis and visualisation. 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.
- 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.
- 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.
Locations
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 community. Understanding how we operate and what projects are available can give you a leg up when it comes to choosing the right opportunities.
✨Tip Number 2
Nail that assessment! The short assessment is your ticket in, so treat it like a mini-interview. Brush up on your coding skills and make sure you’re comfortable with the languages listed in the job description. We believe in your potential!
✨Tip Number 3
Show off your skills! When you get the chance to provide feedback or write code snippets, make sure they’re clear and high-quality. This not only helps us but also showcases your expertise to future project leads.
✨Tip Number 4
Stay flexible and proactive! With the freedom to choose your projects and schedule, keep an eye on new opportunities that pop up. Being quick to apply can set you apart from others, so don’t hesitate to jump in!
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. We love seeing how your background aligns with our needs.
Show Off Your Writing Skills: Since excellent writing is key for this role, make sure your application is clear and well-structured. We’re looking for high-quality writing that reflects your attention to detail and communication skills.
Apply Through Our Website: Once you're ready, hit that application button on our website! It’s the best way to ensure your application gets to us directly. We can’t wait to see what you bring to the table!
How to prepare for a job interview at DataAnnotation
✨Know Your Code
Make sure you brush up on your coding skills, especially in the languages mentioned in the job description. Be ready to discuss your previous projects and how you approached problem-solving. Practising coding challenges can also help you feel more confident.
✨Understand AI Basics
Since you'll be working with AI systems, it’s a good idea to have a basic understanding of how they function. Familiarise yourself with concepts like machine learning and data analysis, as this will show your potential employer that you're genuinely interested in the field.
✨Prepare for the Assessment
The assessment is a crucial part of the application process. Take time to review sample coding problems and practice writing clear, high-quality code snippets. This will not only help you pass the assessment but also give you a taste of what the job entails.
✨Showcase Your Communication Skills
Since you'll need to provide feedback and write detailed explanations, make sure to highlight your writing and grammar skills during the interview. Practice explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with both technical and non-technical audiences.
