Human-AI Interaction & UX Expert (AI Community) English Global, Saudi Arabia Preferred availability 4 to 40 hours per week Compensation USD 18 - 50 per hour Job description About the Role: At TELUS Digital, we don't just build smart AI; we build intuitive AI. As a Human-AI Interaction (HAI) & UX Expert, you are the architect of the user experience. You study the "friction" between human intent and machine response, refining the personality, empathy, and logic of the AI. Your goal is to move AI from being a "tool" to becoming a "partner" by optimizing how it handles multi-turn conversations and builds user trust. At TELUS, you ensure technology adapts to the human, not the other way around. Key Responsibilities: - Conversational UX Auditing: Analyze the "flow" of multi-turn interactions to ensure the AI maintains state, reduces cognitive load, and provides concise, actionable answers. - Trust & Calibration Analysis: Identify instances where the AI is overconfident (leading to false trust) or overly cautious (leading to frustration) and refine the "Calibration of Trust." - Persona & Tone Synthesis: Develop and test specialized personas (e.g., Empathetic Counselor vs. Objective Data Analyst) to ensure tone-alignment across different industries. - Accessibility & Inclusivity Design: Evaluate how models handle diverse speech patterns, non-standard dialects, and accessibility needs to ensure the AI is truly global. Qualification path Mandatory Qualifications: - Education: Minimum of a Bachelor's Degree specifically in Human-Computer Interaction (HCI), Cognitive Psychology, UX Research, or Behavioral Economics. - Native Language: Native-level proficiency (C2+) in your primary language is mandatory to evaluate the cultural "vibe" and natural flow of dialogue. - English Proficiency: Minimum B1 (Intermediate) level English for global community collaboration. 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. Currently, pay rates for experts range from $18 - $50 USD per hour Our Payment terms are defined for each project. Why Join the TELUS Digital AI Community: - Community Connection: Work remotely as part of a 1M+ diverse global AI Community of contributors and experts. - Impactful Expertise: Use your native language and academic degree to shape real-world AI systems and products used by millions every day. - Hands-on Innovation: Gain experience in the latest AI research, evaluation, and fine-tuning methodologies. - Global Collaboration: Collaborate with a network of specialists across 20+ domains and 500+ languages and dialects. - Flexible Engagement: Manage your own schedule while making a meaningful impact on the future of technology. 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

Role Description The John Lewis Public Administration Program at Tulane University’s School of Professional Advancement (SoPA) seeks part-time Adjunct Lecturer candidates. Courses will be taught online, and SoPA invites applicants who are located both locally and out of state to apply. Teaching loads will vary based on the needs of the Program. Qualifications - Experience in public administration or related fields. - Ability to teach online courses effectively. - Relevant academic credentials. Requirements - Commitment to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. - Compliance with federal, state, or local laws regarding employment and educational programs. Benefits - Reasonable accommodations for individuals with disabilities throughout the applicant screening process. - Assistance available during the application or interview process by contacting the Office of Human Resources. Company Description Tulane University is an equal opportunity educator and employer.

• Build a MarTech infrastructure to support a Growth team with ambitious targets allowing us to seamlessly enrich our 1P data and connect with our ideal clients. • Implement and own our attribution infrastructure in partnership with our Analytics and Product teams to ensure proper measurement is feeding how we report impact • Drive measurable improvements in Google Optimization Score and Meta EMQ score by feeding platforms the full conversion funnel, not just platform-reported events • Partner with the analytics team to define which events and audiences flow into our media platforms and in what format • Audit existing AI experiments across the Performance Marketing team; consolidate, kill what isn't working, and build a maintained skill library to supercharge our team • Build and document repeatable AI workflows for audience segmentation, creative brief generation, channel optimization, performance reporting, and channel expansion • Evaluate, onboard, and own AI tools relevant to performance marketing including vendor relationships and team training • Maintain the team's AI system over time as models, tools, and channels evolve — this is not a "set it and forget it" role • Build the measurement and signal architecture for each new channels before launch – defining the "channel readiness checklist" that net-new channels must meet before spend begins • Own the unified performance dashboard that surfaces channel health, spend efficiency, and optimization signals to the team and leadership • Build automated alerts and anomaly detection so Performance Managers spend less time on reporting and more time on strategy • Partner across the Growth and Ops team on tooling overlap – you own AI and signal systems

• Make performance a core company competency across our database and AI workloads. • Set the performance engineering strategy—defining benchmarks, realistic workloads, regression detection and gating, and clear executive-ready reporting. • Partner with Engineering, Solutions Verification, and Product to ensure we deliver predictable performance at scale. • Influence product direction by identifying systemic bottlenecks, shaping architectural and roadmap decisions, and leading cross-team initiatives. • Build and maintain repeatable end-to-end benchmarks for database and AI workloads. • Evaluate throughput, latency, concurrency, scalability, and stability across OLTP/OLAP and mixed workloads. • Measure and optimize performance for GPU/CPU inference pipelines, model serving, and data/feature pipelines; assess cost/performance tradeoffs. • Develop harnesses, scripts, dashboards, and reproducible environments to run benchmarks consistently. • Produce clear reports, identify bottlenecks, and recommend fixes. • Partner with database engineers, AI engineers, the field teams and product management to define performance goals and acceptance criteria. • Establish standards for test hygiene, statistical rigor, hardware normalization, and benchmark governance.