PhD Data Partner - Materials Engineer TELUS Digital -

About TELUS Digital -

Job Description

Are you prepared to leverage your domain knowledge to contribute to the advancement of AI As a Freelance PhD Data Partner, you will have the opportunity to work remotely with flexible hours. We are in search of highly experienced Subject Matter Experts to craft innovative, domain-specific questions and solutions. Your role will involve the creation of challenging problem sets that assess deep reasoning and expertise within your designated field. Key Responsibilities: - Generate intricate, original question-and-answer pairs focusing on advanced subjects within your area of specialization. - Ensure that the questions require multi-step problem-solving and encourage critical thinking. - Provide detailed and clear solutions that align with high academic standards. - Collaborate with cross-functional teams to refine and improve content quality. Basic Requirements: - Possession of a completed PhD or Doctorate/equivalent in Engineering is a fundamental requirement. - Proficiency in English writing with a strong command of grammar, clarity, and the ability to succinctly explain complex concepts. - Previous experience in similar AI projects is considered advantageous. Assessment: Prospective candidates will undergo a subject-specific qualification exam as part of the hiring process to assess their suitability for the position and complete ID verification. Factors considered during the assessment include: - Level of expertise and education (e.g., PhD holders may qualify for higher compensation rates) - Results of skills assessments - Geographic location - Specific project requirements and urgency - Other relevant considerations Join the TELUS Digital AI Community: Our global AI Community serves as a dynamic network of over 1 million contributors from diverse backgrounds. Together, we assist our customers in collecting, enhancing, training, translating, and localizing content to develop superior AI models. By becoming a part of our expanding community, you can contribute to supporting the machine learning models of some of the world's largest brands.,