Join TELUS Digital AI Community as a PhD Data Partner and contribute your domain expertise to advance artificial intelligence. This remote role offers flexible hours and involves designing advanced, domain-specific questions and solutions. You will create challenging problem sets that require deep reasoning and subject matter expertise, helping to improve machine learning models used by some of the world’s largest brands. As part of a global network of over one million contributors, you will play a key role in enhancing AI by developing high-quality content that supports training, translation, and localization efforts.
Key Responsibilities:
- Develop complex, original question-and-answer pairs focused on advanced topics within your area of expertise.
- Design questions that require multi-step problem-solving and critical thinking skills.
- Provide detailed, clear solutions that adhere to high academic standards.
- Collaborate with cross-functional teams to refine and improve content quality.
Required Qualifications:
- A completed PhD (or local equivalent) in Electronics is essential.
- Strong proficiency in English writing, demonstrating excellent grammar, clarity, and the ability to explain complex concepts concisely.
Candidates will undergo a subject-specific qualification exam to assess suitability for the role, along with identity verification as part of the hiring process.
Payment and Benefits:
- Pay rates currently range from $10 to $15 USD per hour.
- Compensation varies based on expertise, skills assessment, location, project requirements, and other factors. Higher rates may be offered to candidates with PhDs.
- Payment terms are specified for each project.
Equal Opportunity:
TELUS Digital AI is committed to fostering a diverse and inclusive community. All qualified applicants will be considered for contractual opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Selection is based solely on qualifications, merit, competence, and performance.
Become part of a vibrant AI community and help shape the future of machine learning by applying your specialized knowledge in a flexible, remote environment.