10x.Team

Artificial Intelligence

• Review and refine AI-generated outputs related to project and delivery management
• Evaluate responses for accuracy, real-world applicability, and adherence to delivery best practices
• Draft realistic project scenarios and workflows (e.g., sprint planning, resource allocation, risk management, stakeholder reporting)
• Assess AI reasoning on delivery frameworks, process optimization, and team coordination
• Identify gaps or misinterpretations in methodology, communication, or project execution
• Create scenario variations from the viewpoint of different delivery stakeholders, e.g., project manager, client, team lead

Delivery Manager – AI Trainer

Accountant

• Review and refine AI-generated responses involving accounting principles and complex financial scenarios
• Assess outputs for compliance with relevant accounting standards, accuracy, and real-world applicability
• Draft realistic accounting situations, including bookkeeping, financial reporting, tax, audit procedures, and management accounting
• Evaluate AI reasoning on matters like internal controls, reconciliations, asset valuation, and regulatory requirements
• Identify errors, omissions, or unrealistic assumptions in accounting logic
• Create scenario variations from diverse stakeholder perspectives, such as auditor, finance manager, regulatory official, or client

Accountant – AI Trainer, Freelance

• Review and refine AI generated outputs on a variety of architectural and design topics
• Evaluate responses for technical accuracy, architectural best practices, and compliance with industry standards
• Draft realistic architecture scenarios, including project planning, design evaluation, regulation compliance, material selection, sustainability, and construction challenges
• Create variations of the same scenario from different roles, such as architect, client, contractor, or project manager
• Identify gaps, misinterpretations, or oversimplified reasoning in AI generated content
• Assess and improve AI reasoning around structured problem solving, edge cases, and application of theoretical and regulatory concepts

Architect, AI Trainer – Freelance

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

Pension Specialist – AI Trainer

• 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
• Assess and strengthen AI-generated content to ensure it mirrors real-world pension practices, actuarial reasoning, and regulatory standards.

Pension Specialist – AI Trainer, Freelance

• Review and refine AI generated responses related to pension schemes, retirement planning and regulatory frameworks
• Evaluate outputs for technical accuracy, actuarial logic and regulatory alignment
• Draft realistic pension scenarios such as defined benefit and defined contribution scheme design, funding deficits, cross border pension transfers, actuarial assumptions or trustee governance issues
• Create variations of the same scenario from different perspectives such as pension trustee, employer sponsor, actuary, regulator or beneficiary
• Identify weaknesses in funding logic, longevity assumptions, regulatory interpretation or risk management approaches
• Assess and improve AI generated content to ensure it reflects real world pension practice, actuarial reasoning and regulatory standards

Pension Expert – AI Trainer

Notary

• 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

Notary, AI Trainer

• 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 Modeler – AI Trainer, Freelance

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

Supply Chain Manager – AI Trainer, Freelance

Procurement

• Review and refine AI-generated content focused on procurement processes, sourcing strategies, risk mitigation, and contract negotiation
• Assess the accuracy, quality, and business alignment of AI outputs related to procurement workflows
• Design and enhance realistic procurement scenarios and case studies
• Generate scenario variations from the perspectives of buyers, procurement managers, and suppliers
• Identify potential improvements or risks in AI-driven procurement solutions
• Collaborate on the development of AI-powered tools for procurement analysis and decision support

Procurement Manager – AI Trainer, Freelance

Full-stack 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 Lead – AI Trainer

• Review and refine AI-generated responses on pension schemes, retirement planning, and regulatory frameworks
• Evaluate outputs for technical precision, actuarial soundness, and regulatory compliance
• Draft authentic pension scenarios covering defined benefit and defined contribution scheme designs, funding deficits, cross-border transfers, actuarial assumptions, and trustee governance issues
• Develop scenario variations highlighting diverse perspectives such as pension trustee, employer sponsor, actuary, regulator, or beneficiary
• Identify gaps or inconsistencies in funding logic, longevity assumptions, regulatory interpretation, or risk management

Data Scientist

• Review and refine AI-generated responses and data-driven outputs
• Evaluate outputs for algorithmic accuracy, statistical validity, and real-world applicability
• Draft realistic data analysis scenarios, including common industry use cases in predictive modeling, classification, regression, and unsupervised learning
• Assess AI reasoning in topics such as feature engineering, model interpretation, data preprocessing, and bias detection
• Identify gaps or misinterpretations in methodology or analysis
• Create scenario variations from the perspective of different data science stakeholders, such as analyst, business leader, or research scientist
• You will assess and improve AI-generated content to ensure it reflects real-world data science standards, practices, and reasoning. Your work will help scale and advance the quality of AI systems in data science contexts.

Data Scientist – AI Trainer – Freelance

• Review and refine AI generated responses related to notarial law and procedures
• Evaluate outputs for legal accuracy, formal validity and jurisdictional compliance
• Draft realistic notarial scenarios across European jurisdictions, including corporate formations, share transfers, real estate transactions, wills, powers of attorney and cross-border authentication
• Assess AI reasoning around formal requirements, identification standards, capacity checks and document execution
• Identify gaps, misinterpretations or oversimplified legal analysis
• Create variations of the same scenario from different stakeholder perspectives such as notary, client, corporate counsel or registry authority

Notary Expert – AI Trainer

Chief Marketing Officer

• Architect repeatable revenue engines that include:
• Go-to-market strategy aligned with growth stage and market positioning
• Commercial organization design including sales structure, role clarity, and incentive models
• Pipeline architecture and forecasting frameworks
• Pricing and packaging strategy
• Enterprise sales motion design and deal governance
• Sales performance metrics and revenue dashboards
• Marketing and sales alignment frameworks
• Channel and partnership strategy where relevant
• Customer expansion and retention strategy
• Revenue predictability models and board-level reporting
• Commercial narrative development for investors and strategic partners

Delivery Manager – AI Trainer

Accountant – AI Trainer, Freelance

Architect, AI Trainer – Freelance

Pension Specialist – AI Trainer

Pension Specialist – AI Trainer, Freelance

Pension Expert – AI Trainer

Notary, AI Trainer

Quantitative Modeler – AI Trainer, Freelance

Supply Chain Manager – AI Trainer, Freelance

Procurement Manager – AI Trainer, Freelance

Process Engineering Lead – AI Trainer

Pension Specialist – AI Trainer

Data Scientist – AI Trainer – Freelance

Notary Expert – AI Trainer

Fractional Chief Commercial Officer