PhD Data Partner - Electronics - Asia

TELUS Digital AI Data Solutions

Quetta , Pakistan

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Posted 4 days ago 11 views Report Job

PKR. 20,800 - 20,800/Month

Join TELUS Digital AI Community as a PhD Data Partner and leverage your domain expertise to advance artificial intelligence. This remote role offers flexible hours and involves designing sophisticated, domain-specific questions and solutions that challenge deep reasoning and subject mastery. You will create complex problem sets that test critical thinking and advanced knowledge in your field, contributing directly to the development of cutting-edge AI models used by some of the world’s largest brands.

Key Responsibilities:
- Develop original, complex 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 clear, detailed solutions that adhere to high academic standards.
- Collaborate with cross-functional teams to continuously refine and improve content quality.

Required Qualifications:
- A completed PhD or local equivalent in Electronics is essential.
- Strong proficiency in English writing, with excellent grammar and the ability to explain complex concepts clearly and concisely.

Candidates will undergo a subject-specific qualification exam to assess their 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, varying based on expertise, skills assessment, location, project requirements, and other factors.
- Higher rates may be offered to candidates with PhD qualifications.
- Join a global AI community of over one million contributors, gaining the opportunity to impact AI development on a large scale.
- Work remotely with flexible hours, allowing for a balanced and adaptable work schedule.

Equal Opportunity:
TELUS Digital AI is committed to fostering a diverse and inclusive environment. 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 global network dedicated to enhancing machine learning models through expert knowledge and collaboration.