10x.Team

Artificial Intelligence

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

Commercial Real Estate Specialist – AI Trainer

Marketing Operations

• Review and improve AI-generated content related to marketing automation, campaign management, and digital marketing strategies
• Evaluate outputs for best practices in audience targeting, lead nurturing, and workflow automation
• Draft realistic scenarios and use cases around email automation, CRM integration, campaign analytics, and personalization
• Assess AI reasoning in tasks such as setting up automation flows, managing data segmentation, and optimizing marketing funnels
• Identify gaps, misalignments, or inaccuracies in AI-generated marketing content or processes
• Create alternative scenarios from the perspectives of marketing managers, automation specialists, and business stakeholders

Marketing Automation Specialist, 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

Commercial Real Estate Specialist – AI Trainer, Freelance

Graphics Designer

• Review and refine AI-generated images and design concepts
• Evaluate outputs for creative quality, technical feasibility, and industry relevance
• Draft realistic design briefs, use cases, and scenarios for a variety of design disciplines (branding, digital art, UI/UX, print, advertising)
• Assess AI reasoning in areas such as color theory, composition, typography, and user-centered design
• Identify gaps or misinterpretations in design methodology or outputs
• Create scenario variations from the perspective of different stakeholders, such as clients, creative directors, or end users

Graphic Designer – AI Trainer, Freelance

Security Engineer

• Review and refine AI-generated content related to cybersecurity, threat analysis, risk management, and compliance
• Evaluate outputs for technical accuracy, relevance to industry best practices, and real-world applicability
• Draft realistic security scenarios, including vulnerability assessments, incident response, and cyber risk mitigation case studies
• Assess AI reasoning on topics such as security architecture, threat modeling, and regulatory compliance (e.g., GDPR, NIS2)
• Identify gaps, misinterpretations, or unrealistic assumptions in AI outputs
• Create variations of scenarios from the perspective of different security stakeholders (analyst, CISO, auditor, etc.)

Security Specialist – AI Trainer

Data Engineer

• Reviewing and refining AI-generated content related to data architecture and system design
• Evaluating outputs for structural accuracy, scalability, and real-world applicability
• Drafting realistic architecture scenarios, including industry use-cases for data pipelines, integration, warehousing, and governance
• Assessing AI reasoning on topics such as data modeling, database optimization, ETL processes, security, and compliance
• Identifying gaps or misinterpretations in architectural methodology or design
• Creating scenario variations from diverse stakeholder perspectives (e.g., architect, engineer, business leader)

Data Architect – AI Trainer, Freelance

Systems Engineer

• Review and refine AI-generated responses and architecture-related outputs
• Evaluate outputs for technical accuracy, systems design best practices, feasibility, and scalability
• Draft realistic systems architecture scenarios, including cloud infrastructure, distributed computing, and system integration use cases
• Assess AI reasoning in topics such as scalability, reliability, fault tolerance, and system optimization
• Identify gaps or misinterpretations in methodology or design approach
• Create scenario variations from the perspective of different stakeholders, such as architect, engineering lead, or business executive

Systems Architect, AI Trainer – Freelance

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 – AI Trainer, Freelance

Data Analyst

• Review and refine AI-generated responses related to data analytics, data interpretation, and reporting
• Evaluate outputs for analytical rigor, clarity, and real-world applicability
• Draft realistic analytics scenarios, including use cases focused on data cleaning, processing, exploration, and visualization
• Assess AI reasoning on topics such as data validation, statistical analysis, and business insights
• Identify errors in analysis, unrealistic assumptions, or gaps in data logic
• Create scenario variations from perspectives like business analysts, data specialists, or decision makers

Data Analyst – AI Trainer

Product Designer

• Review and refine AI-generated design outputs covering user flows, interface components, interaction patterns, and visual layouts
• Evaluate outputs for usability, accessibility, and alignment with product design best practices
• Draft realistic design scenarios and product briefs reflecting real-world design problems and workflows
• Assess AI reasoning in topics such as user research, prototyping, design systems, and responsive design
• Identify gaps, inconsistencies, or unrealistic assumptions in design solutions or reasoning
• Create scenario variations from different stakeholder perspectives, such as designer, product manager, user, or engineer

Product Designer, AI Trainer – Freelance

• Review and refine AI-generated responses related to risk analysis, risk management, compliance, and assessment methodologies.
• Evaluate outputs for technical accuracy, practical business alignment, and relevance to real-world risk management scenarios.
• Draft complex risk scenarios, such as regulatory risk assessments, operational risk mitigation plans, risk reporting, and compliance strategies.
• Create variations of the same scenario from different business perspectives (analyst, risk manager, compliance officer, business leader, decision-maker).
• Identify weaknesses in AI logic regarding risk identification, mitigation, reporting, KPIs, compliance requirements, or scenario realism.
• Assess and improve AI content so it reflects up-to-date risk management practices and applies real-world logic.

Risk Analyst – AI Trainer

• Review and refine AI-generated responses and security-focused outputs
• Evaluate outputs for architectural soundness, security best practices, and real-world applicability
• Draft realistic security architecture scenarios, including use cases around threat modeling, risk assessment, cloud security, and compliance
• Assess AI reasoning on topics such as identity and access management, incident response, and secure software design
• Identify gaps, misinterpretations, or security risks in methodology and analysis
• Create scenario variations from the perspective of different security stakeholders, such as architect, CISO, or operations lead

Security Architect, 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

Retirement Consultant – AI Trainer

• Review and refine AI-generated content focused on system configuration, cloud cost optimization, resource planning, and operational efficiency.
• Assess the accuracy, clarity, and relevance of AI outputs related to infrastructure workflows and documentation.
• Design and enhance realistic use-cases and scenarios in infrastructure management.
• Generate scenario variations from perspectives such as infrastructure engineers, DevOps specialists, and IT managers.
• Identify improvement opportunities or risks in AI-driven infrastructure solutions.
• Collaborate on developing AI-powered tools for system analysis, monitoring, and decision support.

Infrastructure Optimization Specialist – AI Trainer

• Review and refine AI generated outputs on a variety of HR and people operations topics
• Evaluate responses for technical accuracy, HR best practices, and compliance with industry standards
• Draft realistic HR scenarios, including employee relations, talent management, organizational change, compliance, and diversity, equity, and inclusion (DEI) challenges
• Create variations of the same scenario from different roles, such as HR business partner, people manager, employee, or compliance lead
• Identify gaps, misinterpretations, or oversimplified reasoning in AI generated content
• Assess and improve AI reasoning around structured problem solving, edge cases, and application of HR theoretical concepts