At a Glance
- Tasks: Design and solve coding problems to train cutting-edge AI systems.
- Company: Join a dynamic team shaping the future of AI technology.
- Benefits: Fully remote work, flexible schedule, and competitive pay starting at $40+ per hour.
- Other info: Join a community of over 100,000 professionals and grow your career.
- Why this job: Make a real impact in AI development while enjoying flexibility and autonomy.
- Qualifications: Proficiency in programming languages and excellent writing skills required.
Job Description
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 an expert Physicist (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Physics team, you’ll be part of a growing community of over 100,000 experts 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 expert physics tasks that include solving challenging problems 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:
- 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 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 physics, engineering, inductive/deductive reasoning, and physical/temporal/spatial reasoning
- A current, in progress, or completed Master's 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. 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
Physics Tutor in Exeter employer: DataAnnotation
Join a dynamic and innovative team at DataAnnotation, where you can enjoy the freedom of fully remote work while contributing to the exciting field of AI development. With a flexible schedule that allows you to choose projects that align with your personal goals, you'll be part of a vibrant community of over 100,000 professionals dedicated to making a real-world impact. Our competitive pay structure and opportunities for growth ensure that your contributions are recognised and rewarded, making DataAnnotation an excellent employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Physics Tutor in Exeter
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We think you need these skills to ace Physics Tutor in Exeter
Some tips for your application 🫡
Show Off Your Passion for Learning:When applying for a role in digital learning and education at DataAnnotation, make sure to sprinkle your application with examples of your enthusiasm for teaching and learning technologies. Share specific experiences where you've used, designed, or implemented digital learning solutions, as this shows us that you truly get the field.
Highlight Relevant Education and Certification:In the digital learning space, having a strong educational background can set you apart. Don't shy away from showcasing your degrees, certifications, or relevant courses related to e-learning, instructional design, or educational technology. We love seeing candidates who have actively invested in their learning journey!
Tailor Your CV to the Role:Your CV is your first impression, so let's make it count! Focus on your skills directly related to digital learning, such as course development, learning management systems, and data analysis. Be sure to show measurable results from your past roles to demonstrate your impact and effectiveness.
Craft a Compelling Cover Letter:In your cover letter, express not just your qualifications, but your vision for the future of digital education. Discuss how your experiences align with the mission of DataAnnotation and highlight any innovative ideas you might have for enhancing learning experiences. This is your chance to connect with us on a deeper level!
How to prepare for a job interview at DataAnnotation
✨Get Hands-On with Learning Technologies
Familiarise yourself with common digital learning tools and platforms, like LMS systems or authoring tools that DataAnnotation might use. Understanding these will give you an edge and show you’re ready to jump in from day one!
✨Showcase Your Creativity in Lesson Design
Prepare a portfolio of your past projects if you have them, or create sample lesson plans or digital content demos. Being able to discuss your creative approach to engaging students can really set you apart in a full-time role at DataAnnotation.
✨Brush Up on Educational Trends
Stay in the loop with the latest trends in digital education, like gamification or personalised learning experiences. This will help you engage in meaningful discussions during the interview and demonstrate your passion for the field.
✨Prepare for Collaborative Scenarios
Expect to be asked about your experience working collaboratively with educators or other stakeholders. Consider discussing how you've contributed to a team effort in creating engaging educational content or improving student outcomes.
