10x.Team

Artificial Intelligence

• Review and refine AI-generated responses related to insurance products, underwriting, and risk assessment
• Evaluate outputs for technical accuracy, regulatory compliance, and commercial realism
• Draft complex insurance scenarios such as underwriting decisions, claims-handling disputes, policy wording interpretation, reinsurance structuring, or solvency considerations
• Create variations of the same scenario from different perspectives such as underwriter, broker, claims manager, actuary, or regulator
• Identify weaknesses in risk logic, pricing assumptions, coverage interpretation, or compliance reasoning
• Assess and improve AI-generated content to ensure it reflects real-world insurance practice, risk evaluation, and regulatory standards

Insurance Professional – AI Trainer, Freelance

Data Analyst

• Review and refine AI-generated responses and outputs related to quantitative modeling and analytics
• Evaluate outputs for methodological rigor, validity of modeling approaches, and real-world applicability
• Draft realistic quantitative modeling scenarios, including use cases around statistical analysis, forecasting, financial modeling, and risk assessment
• Assess AI reasoning on topics such as data analysis, model validation, and scenario simulation
• Identify gaps, misinterpretations, or errors in quantitative methodologies and analysis
• Create scenario variations from the perspective of different modeling stakeholders, such as analysts, modeling leads, or business decision makers

Quantitative Analyst – AI Trainer, Freelance

• Review and refine AI-generated content related to eIDAS2, Qualified Electronic Signatures, and trust services
• Assess the accuracy, clarity, and conformity of AI outputs to relevant EU/UK regulations and technical standards
• Draft and enhance realistic scenarios involving digital signatures, identity verification, and compliance for cross-border electronic transactions
• Generate scenario variations from the perspectives of regulators, compliance officers, legal counsels, and service providers
• Identify reasoning gaps, potential compliance pitfalls, or improvement areas in AI outputs related to electronic identity
• Support the development of practical AI-powered tools for digital identity and electronic signature compliance

QES Consultant – AI Trainer, Freelance

Product Marketing

• Review and refine AI-generated marketing content, product messaging, and positioning statements
• Evaluate outputs for clarity, target audience fit, and alignment with product value propositions
• Draft realistic go-to-market scenarios, including campaign narratives, user personas, and competitor analysis
• Assess AI reasoning related to product features, market differentiation, and customer benefits
• Identify gaps or misrepresentations in messaging, tone, or value communication
• Create scenario variations from the perspective of different marketing stakeholders, such as product manager, customer, or sales leader

Product Marketing Manager – AI Trainer, Freelance

Product Manager

• Collaborate with leading AI labs to enhance large AI systems
• Review and refine AI-generated responses related to product management and strategic decision-making
• Assess outputs for accuracy, relevance, and real-world applicability
• Draft realistic product management situations involving communication and launch planning
• Evaluate AI reasoning relating to user needs, MVP scoping, and market analysis
• Identify potential gaps or oversights in AI-generated plans or analyses
• Create scenario variations from different perspectives

Product Manager, AI Trainer

Software Engineer

• Review and refine AI-generated content focused on process mapping, workflow optimization, efficiency improvements, and operational risk management
• Assess the accuracy, clarity, and business alignment of AI outputs related to engineering workflows and process documentation
• Design and enhance realistic scenarios and case studies in process engineering
• Generate scenario variations from perspectives such as process engineers, operations leads, and quality managers
• Identify improvement opportunities or risks in AI-driven process solutions
• Collaborate on developing AI-powered tools for process analysis, reporting, and decision support

Process Engineering Consultant – AI Trainer, Freelance

• Review and refine AI-generated outputs on a variety of commercial real estate topics
• Evaluate responses for technical accuracy, industry best practices, and compliance with relevant standards
• Draft realistic commercial real estate scenarios, such as deal structuring, market analysis, property management, asset valuation, risk assessment, and compliance
• Create variations of the same scenario from different roles, such as broker, analyst, investor, property manager, or compliance officer
• Identify gaps, misinterpretations, or oversimplified reasoning in AI-generated content related to commercial real estate
• Assess and improve AI reasoning around structured problem solving, real-world edge cases, and application of commercial real estate principles

Real Estate Consultant – AI Trainer

Controller

• Review and refine AI-generated responses related to finance, accounting, and controlling
• Evaluate outputs for financial accuracy, regulatory compliance, and industry best practices
• Draft realistic financial scenarios—including reporting, budgeting, forecasting, internal controls, and compliance tasks
• Assess AI reasoning in areas such as financial analysis, process optimisation, risk assessment, and decision support
• Identify gaps, misinterpretations, or unrealistic assumptions in financial methodology or outputs
• Create scenario variations from different stakeholder perspectives such as finance manager, executive team, or auditor

Controller Financiero, AI Trainer, Freelance

• Review and refine AI-generated content related to employment law, workplace policies, and HR regulations
• Assess the accuracy, clarity, and compliance of AI outputs with relevant EU/UK employment laws and best practices
• Create and enhance realistic employment scenarios, covering onboarding, disciplinary actions, contracts, compliance, and dispute resolution
• Generate scenario variations from multiple perspectives, such as legal counsel, HR professionals, and business stakeholders
• Identify legal reasoning gaps, potential compliance risks, or improvement areas in AI handling of employment law matters
• Support the development of practical AI-powered tools for HR documentation and employment compliance

Rechtsanwalt Arbeitsrecht – AI Trainer

• Review and refine AI-generated responses related to financial regulation, risk assessment, compliance, and market conduct
• Assess content for legal accuracy, coherence, and alignment with current financial regulations (e.g., MiFID II, AML, FCA guidelines)
• Draft realistic scenarios involving regulatory investigations, licensing, compliance programs, enforcement actions, and supervisory frameworks
• Create scenario variations reflecting multiple viewpoints: legal counsel, compliance officer, regulator, market participant, or advisory professional
• Identify areas for improvement in AI legal reasoning and risk analyses
• Support the development of AI tools designed for practical application by finance-sector organisations

Attorney, Banking & Financial Markets Law – AI Trainer, Freelance

• Review and refine AI-generated responses related to pension schemes, retirement planning, and regulatory frameworks
• Evaluate outputs for technical accuracy, actuarial soundness, and regulatory compliance
• Draft realistic pension scenarios, including defined benefit and defined contribution scheme design, funding deficits, cross-border pension transfers, actuarial assumptions, and trustee governance issues
• Create variations of scenarios from diverse perspectives such as pension trustee, employer sponsor, actuary, regulator, or beneficiary
• Identify weaknesses in funding logic, longevity assumptions, regulatory interpretations, or risk management approaches

Specjalista ds. emerytur – AI Trainer

• Review and refine AI-generated content related to notarial processes, document authentication, and compliance
• Assess accuracy, clarity, and legal alignment of AI outputs with EU/UK notarial frameworks
• Develop and enhance realistic notarial scenarios, such as witnessing signatures, certifying copies, and notarizing documents
• Generate scenario variations from the perspectives of notaries, clients, and legal stakeholders
• Identify compliance risks or improvement opportunities in the way AI addresses notarial matters
• Contribute to designing AI-powered tools for notarial documentation and verification

Notário – AI Trainer

• Review and refine AI generated responses related to insurance products, underwriting and risk assessment
• Evaluate outputs for technical accuracy, regulatory alignment and commercial realism
• Draft complex insurance scenarios such as underwriting decisions, claims handling disputes, policy wording interpretation, reinsurance structuring or solvency considerations
• Create variations of the same scenario from different perspectives such as underwriter, broker, claims manager, actuary or regulator
• Identify weaknesses in risk logic, pricing assumptions, coverage interpretation or compliance reasoning
• Assess and improve AI generated content to ensure it reflects real world insurance practice, risk evaluation and regulatory standards

Specjalista ds. ubezpieczeń – AI Trainer

Supply Chain

• Review and refine AI-generated content covering supply chain processes, procurement, logistics, and risk management
• Assess the accuracy, clarity, and practical alignment of AI outputs with real business workflows
• Design and enhance realistic supply chain scenarios and case studies
• Generate scenario variations from perspectives including supply chain managers, buyers, suppliers, and operations staff
• Identify optimization opportunities or risks in AI-driven supply chain strategies
• Collaborate on the creation of AI-powered tools for supply chain analysis, decision-making, and reporting