Okay, I've searched for full-time remote technical writing roles in North America that require a PhD, emphasize AI or data-related content, and seek strong English writing proficiency. I have found several positions matching your criteria. Would you like me to share the details or refine the search further?

Sure. Here's the analysis:

Job Analysis:

This role is fundamentally about leveraging deep domain expertise and exceptional technical writing skills to contribute to the advancement of AI through the creation of domain-specific, challenging problem sets that test reasoning and expertise. The position requires a PhD-level candidate with superior English proficiency capable of breaking down complex technical concepts into clear, concise, and precise language, reflecting the dual need for subject mastery and communication finesse. The candidate will likely face the challenge of designing content that not only demonstrates technical rigor but also aligns with AI training objectives, requiring close attention to detail, accuracy, and relevance to real-world applications. Success in this position means producing high-quality training data that improves machine learning models’ performance and robustness, thus directly impacting AI capabilities at a strategic level. Being remote and flexible implies that self-motivation, discipline, and excellent time management are critical to navigate ambiguous, autonomous work environments. Preparing for this role involves honing the ability to abstract and distill advanced knowledge into problem sets while understanding the broader AI model training context, including sensitivity to bias mitigation, regulatory compliance, and inclusion principles that TELUS Digital espouses.

Company Analysis:

TELUS Digital sits at the intersection of technology innovation and customer experience, combining a commitment to future-focused digital transformations with ethical AI development frameworks. As part of a global, telecommunications-rooted enterprise, TELUS Digital balances scale and technological depth with a compassionate, human-centric corporate culture emphasizing diversity, inclusion, and responsible innovation (Humanity-in-the-loop). This context informs the technical writer role by underscoring the importance of accuracy, clarity, and inclusiveness in AI dataset creation to support safer, unbiased AI applications. TELUS appears to be an innovation-driven yet stable player with a strong reputation in AI and digital services, offering a unique vantage point for contributors to impact large-scale, mission-critical AI projects. The remote, flexible nature of the role reflects a mature digital-first mindset. Candidates joining this community can expect to be part of a diverse and highly skilled global network, collaborating virtually but requiring the self-starting mindset and professional rigor of an experienced expert. Visibility may be limited as an individual contributor within a large ecosystem, but the strategic value of the work is high as it fuels the company’s proprietary GenAI engine “Fuel iX™,” which powers AI solutions across industries. This role serves TELUS Digital’s goals of scaling AI capabilities responsibly and rapidly, aligning the candidate’s expertise with the company’s vision of blending technology and human insight to create lasting impact.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to explain a complex technical concept to a non-expert audience. How did you ensure clarity and understanding?
• Behavioral: Describe a situation where you faced ambiguity in a project requirement. How did you navigate this and deliver a quality outcome?
• Behavioral: Can you share an example of how you collaborated with cross-functional teams or stakeholders to develop technical content?
• Behavioral: How have you handled feedback or revisions on your writing when the reviewers had conflicting opinions?
• Technical: How would you approach designing a domain-specific problem set that effectively tests deep reasoning for AI training purposes?
• Technical: What steps do you take to ensure your technical writing is free from bias and accessible to diverse audiences?
• Technical: Are you familiar with any AI training data frameworks or quality assurance processes that would enhance your work as a technical writer in this space?
• Technical: Can you describe your experience with specific writing tools, data annotation platforms, or version control systems related to content development?
• Situational: Imagine you discover that a problem set you created contains an error that could mislead an AI model's learning. How would you handle this post-delivery?
• Situational: Given minimal guidance on evolving technical requirements for a new AI domain, how would you initiate and manage your content creation process?
• Situational: If you receive feedback that the complexity of your questions is not adequately challenging for the AI models’ intended training phase, how would you adapt?
• Company Fit: What attracts you to working with TELUS Digital AI’s community compared to other AI content development opportunities?
• Company Fit: How do you resonate with TELUS Digital’s commitment to ‘Humanity-in-the-loop’ and responsible AI development?
• Company Fit: Given TELUS Digital’s diverse and global contributor network, how do you envision contributing effectively to this remote and flexible community?
• Questions for Interviewer: Can you describe how success is measured for this role within the first six months?
• Questions for Interviewer: How does TELUS Digital support continuous learning and professional development for contributors in the AI community?
• Questions for Interviewer: What are some of the biggest challenges TELUS Digital faces in developing quality GenAI content, and how can this role help address them?