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- Tasks: Create advanced, domain-specific questions and solutions in Math for AI development.
- Company: Join TELUS Digital AI, a global community of 1 million+ contributors enhancing AI models.
- Benefits: Enjoy remote work flexibility and competitive pay rates ranging from $30 - $50 USD per hour.
- Why this job: Make an impact on AI while collaborating with diverse teams and refining your expertise.
- Qualifications: Must hold a PhD in Math and possess strong English writing skills.
- Other info: Candidates will undergo a qualification exam and ID verification for selection.
Job Description
Job description
Location: Europe – Remote
Please note you must hold residency in Europe to apply for this role.
Are you ready to use your domain knowledge to advance AI? Join us as a PhD Data Partner and work remotely with flexible hours. We are seeking highly knowledgeable Subject Matter Expert to design advanced, domain-specific questions and solutions. The role involves creating challenging problem sets that test deep reasoning and expertise in the assigned field.
TELUS Digital AI Community
Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands.
Key Responsibilities:
- Develop complex, original question-and-answer pairs based on advanced topics in your area of expertise.
- Ensure questions involve multi-step problem-solving and critical thinking.
- Provide detailed, clear solutions that meet high academic standards.
- Collaborate with cross-functional teams to refine and enhance content.
Qualification path
Basic Requirements:
- A completed PhD (or local equivalent) in Math is essential
- Strong proficiency in English writing with excellent grammar, clarity, and the ability to explain complex concepts concisely
Assessment:
In order to be hired into our community, you’ll go through a subject-specific qualification exam that will determine your suitability for the position and complete ID verification.
Payment:
- Currently, pay rates for experts range from $30 – $50 USD per hour
- Our Payment terms are defined for each project.
Equal Opportunity:
All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity
PhD Data Partner - Math - Remote Europe employer: Telus International
Contact Detail:
Telus International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Data Partner - Math - Remote Europe
✨Tip Number 1
Familiarise yourself with the latest trends and advancements in AI and mathematics. This will not only help you in the qualification exam but also demonstrate your passion and commitment to the field during any discussions with us.
✨Tip Number 2
Engage with our community on platforms like LinkedIn or relevant forums. Networking with current members can provide insights into the role and help you understand what we value in a PhD Data Partner.
✨Tip Number 3
Prepare for the subject-specific qualification exam by creating sample question-and-answer pairs based on complex mathematical concepts. This practice will sharpen your skills and give you a feel for the type of content we are looking for.
✨Tip Number 4
Showcase your ability to collaborate by discussing past experiences where you worked with cross-functional teams. Highlighting these experiences can set you apart and align with our collaborative culture at StudySmarter.
We think you need these skills to ace PhD Data Partner - Math - Remote Europe
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a PhD Data Partner. Familiarise yourself with the types of questions and solutions you will be expected to create, as well as the importance of critical thinking in this role.
Tailor Your CV: Highlight your academic achievements, particularly your PhD in Math, and any relevant experience that showcases your ability to develop complex problem sets. Make sure to emphasise your proficiency in English writing and your skills in explaining complex concepts.
Craft a Strong Cover Letter: In your cover letter, express your passion for AI and how your expertise in Math can contribute to the TELUS Digital AI Community. Be specific about your experience in creating educational content or problem sets, and demonstrate your understanding of the role's requirements.
Proofread Your Application: Ensure that your application is free from grammatical errors and clearly communicates your qualifications. A well-written application reflects your attention to detail and professionalism, which are crucial for this position.
How to prepare for a job interview at Telus International
✨Showcase Your Expertise
Make sure to highlight your PhD and any relevant research or projects you've worked on in Math. Be prepared to discuss complex topics and demonstrate your deep understanding of the subject matter.
✨Prepare for Problem-Solving Questions
Since the role involves creating challenging problem sets, practice explaining your thought process when solving complex mathematical problems. This will show your ability to think critically and approach multi-step problems.
✨Communicate Clearly
Your proficiency in English writing is crucial. During the interview, focus on articulating your ideas clearly and concisely. Avoid jargon unless necessary, and be ready to explain complex concepts in simple terms.
✨Collaborative Mindset
The role requires collaboration with cross-functional teams. Be prepared to discuss your experience working in teams and how you can contribute to refining and enhancing content. Show that you value input from others and are open to feedback.
