• Deliver practical, interactive trainings for the charly software • Conduct seminars both on-site and via remote sessions • Develop innovative seminar content to continuously expand the training portfolio • Collaborate with the team to implement projects • Analyze processes to identify areas for optimization

• Training management: You inspire our customers to use the charly software and support them with practical, interactive training sessions. • Innovation driver: You enjoy developing innovative seminar content to continuously expand and improve our training offerings. • Team player: Together with your team, you actively implement projects. • Analytical thinker: You think analytically and can grasp complex relationships.

Role Description 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: - Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance. - Design realistic FNOL (First Notice of Loss) scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness. - Create test cases for coverage-scope decisions (collision vs. comprehensive) where the correct answer requires domain knowledge, not keyword matching. - Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral. - Build subrogation test cases applying state-specific negligence rules (comparative vs. contributory) and assess likelihood of recovery. - Develop supervisor-escalation scenarios that test whether the agent correctly recognizes authority-limit thresholds ($25,000) and stops short of auto-approving. - Draft and evaluate reservation-of-rights letter scenarios, verifying language stays within the bad-faith line. - Validate coverage-limits math when multiple endorsements (OEM, rideshare, extended rental) stack on a single claim. - Document test cases clearly with correct answers, policy citations, and payout calculations. Qualifications - Degree in Finance, Business, Insurance, or related field — or equivalent professional experience; no specific degree is required if AIC, CPCU, or comparable credentials are present, or if the candidate has 4+ years of hands-on claims adjusting experience. - 3+ years of hands-on auto claims adjusting, examining, or supervisory experience at a U.S. carrier, independent adjusting firm, or SIU team. - Ability to make coverage decisions (collision vs. comprehensive, endorsement stacking, exclusion vs. coverage grant) without looking them up. - Familiarity with U.S. state-specific rules — comparative vs. contributory negligence states, state adjuster licensing requirements. - Experience reading full auto policy documents with citation discipline (able to reference a specific section, e.g. "Section IV.B.2"). - Comfort computing payout math involving deductibles, sub-limits, and layered endorsements in Excel or equivalent. - Awareness of the bad-faith line and adjuster authority-limit culture. - Associate in Claims (AIC), CPCU, CIFI, or SCLA credential is a strong positive signal — but not required if experience is solid. - Strong written English (C1+). Requirements - Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid. - 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 $60 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.

• Support organizational change management initiatives for enterprise projects and digital transformation programs. • Develop and execute change management, communication, and training strategies. • Conduct stakeholder analysis, impact assessments, and readiness evaluations. • Create training materials, user guides, SOPs, presentations, and knowledge documentation. • Deliver virtual training sessions, workshops, and end-user enablement programs. • Collaborate with project managers, business leaders, HR, and technical teams to support successful adoption. • Monitor user adoption, feedback, and training effectiveness metrics. • Identify change risks and resistance management strategies. • Support go-live activities, hypercare, and post-implementation adoption initiatives. • Ensure alignment with organizational goals and project timelines.