• Facilitate and deliver engaging training programs focused on soft skills and core competencies (e.g., communication, emotional intelligence, time management, conflict resolution) and leadership development (e.g., team management, strategic thinking, coaching). • Adapt training delivery and content to meet the specific needs of diverse audiences, including attorneys, business professionals and paralegals ensuring relevance to their roles and responsibilities. • Utilize a variety of instructional methods, including workshops, webinars, e-learning modules, role-playing, and group discussions, to accommodate diverse learning styles. • Foster a supportive and inclusive learning environment that encourages open dialogue and collaboration. • Collaborate across P&C team, firm leadership, operational departments and other stakeholders to identify and prioritize training needs across the firm. • Act as a resource and advocate for professional development, promoting a culture of continuous learning and growth. • Measure the effectiveness of training programs through feedback, assessments, and performance metrics. • Analyze training data and provide insights and recommendations to improve programs and drive measurable outcomes. • Continuously improve training programs based on participant feedback and emerging industry trends. • Stay updated on best practices in adult learning, leadership development, and soft skills training. • Provide one-on-one or group coaching to reinforce learning and support skill application. • Serve as a trusted advisor offering guidance on professional growth and development.

• Design and implement a multi-tiered, role-specific learning program that builds AI competence across the entire Association. • Develop self-paced digital learning paths, live virtual workshops, and peer coaching sessions that cultivate a “try-first” culture of experimentation. • Apply behavioral science principles to address resistance, build psychological safety, and accelerate technology adoption. • Serve as an internal subject matter expert on enterprise AI platforms and emerging agentic workflows. • Partner with AI Steering Committee to build internal momentum for AI adoption. • Collaborate with field offices, development teams, IT, HR (specifically L&D) to identify where AI can amplify grassroots organizing.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational chemistry problems that simulate real chemistry research workflows; - Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling; - Base problems on real research challenges or practical applications from chemistry practice; - Verify solutions using Python with standard computational chemistry approaches; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Chemistry or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical methods in chemistry; - Familiarity with computational chemistry concepts and methods; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational chemistry problems that simulate real chemistry research workflows; - Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling; - Base problems on real research challenges or practical applications from chemistry practice; - Verify solutions using Python with standard computational chemistry approaches; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Chemistry or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical methods in chemistry; - Familiarity with computational chemistry concepts and methods; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.