10x.Team

General Counsel

• Review and refine AI-generated responses related to legal matters, contracts, compliance, and regulatory frameworks
• Evaluate outputs for technical accuracy, logical consistency, and regulatory alignment
• Draft realistic legal scenarios, such as contract negotiation, regulatory compliance checks, dispute resolution, or advising on corporate governance
• Create scenario variations from perspectives such as in-house counsel, outside counsel, regulator, or client
• Identify weaknesses in legal reasoning, regulatory interpretation, or risk management approaches

General Counsel – AI Trainer, Freelance

Artificial Intelligence

• Review and refine AI-generated outputs on a variety of employer branding, recruitment marketing, and talent attraction topics
• Evaluate responses for technical accuracy, practical employer branding strategies, and compliance with industry best practices
• Draft realistic scenarios, including employer value proposition development, campaign planning, internal communication, and employer brand measurement
• Create variations of the same scenario from different perspectives, such as employer branding strategist, recruitment lead, communications manager, or business stakeholder
• Identify gaps, misinterpretations, or oversimplified reasoning in AI-generated content
• Assess and improve AI’s ability to reason about structured problem solving, edge cases, and the application of modern employer branding concepts

Employer Branding Strategist – AI Trainer, Freelance

Customer Success Manager

• Review and refine AI-generated responses related to customer success, account management, and client engagement.
• Evaluate outputs for technical accuracy, clarity, and commercial realism.
• Draft complex customer scenarios such as onboarding journeys, troubleshooting escalations, renewal negotiations, or feedback management.
• Create variations of scenarios from different perspectives, such as client, success manager, or executive stakeholder.
• Identify weaknesses in customer experience logic, communication effectiveness, or issue resolution approaches.
• Assess and improve AI-generated content to ensure it reflects real-world customer success practices, effective client interactions, and industry standards.
• Help improve how AI systems understand and reason about customer success at scale.

Customer Success Manager – AI Trainer

• Review, refine, and improve AI-generated responses on topics such as M&A, strategy, due diligence, market analysis, financial modeling, and corporate structuring
• Assess AI outputs for analytical rigor, actionable insights, and industry alignment
• Draft realistic corporate scenarios (e.g., acquisition targets, synergy assessments, integration planning, competitive market entries)
• Create scenario variations from perspectives such as acquirer, target, board member, investor, or analyst
• Identify and explain inconsistencies or weaknesses in assumptions, business logic, or strategic recommendations

Corporate Development Lead – AI Trainer, Freelance

Accountant

• Review and refine AI-generated responses and outputs related to accounting principles and practices
• Evaluate content for technical accuracy, regulatory compliance, and real-world applicability
• Draft realistic accounting scenarios, including financial analysis, bookkeeping tasks, compliance checks, and audit cases
• Assess AI reasoning involving accounting treatment for various transactions, financial reporting, and tax calculations
• Identify inaccuracies, misinterpretations, or oversimplified logic
• Create variations of the same scenario from the perspectives of different stakeholders, such as accountant, client, auditor, or regulator

Accountant, Associate – AI Trainer

• Review and refine AI-generated outputs on a variety of communications topics
• Evaluate responses for clarity, professional tone, accuracy, and alignment with communications best practices
• Draft realistic communications scenarios, including press releases, internal memos, crisis statements, stakeholder announcements, and executive communications
• Create variations of the same scenario from different perspectives, such as communications lead, PR specialist, corporate manager, or external stakeholder
• Identify gaps, misinterpretations, or oversimplified reasoning in AI-generated messaging
• Assess and improve AI reasoning around audience alignment, messaging strategy, edge cases, and application of theoretical communications concepts

Communications Specialist – AI Trainer, Freelance

• Review and refine AI-generated responses and analytics-focused outputs
• Evaluate outputs for analytical soundness, data integrity, and real-world applicability
• Draft realistic analytics scenarios, including use cases around reporting, dashboarding, data interpretation, and business intelligence
• Assess AI reasoning on topics such as KPI selection, data quality, and analytical methodology
• Identify gaps, misinterpretations, or analytical risks in methodology and analysis
• Create scenario variations from the perspective of different analytics stakeholders, such as analyst, manager, or data engineer

Analytics Consultant – AI Trainer, Freelance

Account Manager

• Review and refine AI-generated responses and outputs related to account management scenarios
• Evaluate outputs for accuracy, relevance to business needs, and real-world applicability
• Draft realistic account management case studies, including client communications, solution recommendations, conflict resolution, and stakeholder management
• Assess AI reasoning in areas such as client engagement, account growth strategies, and relationship development
• Identify gaps or misinterpretations in proposed strategies or communications
• Create variations on scenarios from multiple perspectives, such as client, account manager, or team lead

Account Manager – AI Trainer

Financial Planning and Analysis

• Review and refine AI-generated content related to investment management, financial analysis, and markets
• Evaluate outputs for accuracy, realism, and alignment with actual investment strategies and scenarios
• Draft realistic investment case studies and scenarios—including equities, fixed income, alternative assets, portfolio construction, and risk management
• Assess AI reasoning on topics such as asset allocation, due diligence, market trends, valuation, and regulatory considerations
• Identify inaccuracies, knowledge gaps, or flawed interpretations in methodology or analysis
• Create scenario variations from the perspective of different stakeholders, such as portfolio managers, analysts, or investors

Investment Manager – AI Trainer, Freelance

• 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

• 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.