10x.Team

DevOps Engineer

• Review and refine AI-generated content and workflows related to DevOps processes
• Assess outputs for accuracy and adherence to best practices in infrastructure automation, deployment, monitoring, and CI/CD
• Draft realistic operational and deployment scenarios, including use cases across cloud infrastructure, containerisation, orchestration, and automated testing
• Evaluate AI reasoning in areas like system reliability, scalability, disaster recovery, and security
• Identify technical gaps or misalignments with industry DevOps standards
• Create scenario variations from perspectives such as DevOps engineer, site reliability engineer, and infrastructure lead

DevOps Lead – AI Trainer

Artificial Intelligence

• Review and refine AI-generated responses and sales-related content
• Assess the accuracy and realism of SaaS sales scenarios, including lead generation, qualifying prospects, managing pipelines, and closing deals
• Evaluate outputs for alignment with best practices in SaaS sales, including common objections, negotiation tactics, and customer relationship management
• Draft realistic sales situations from various perspectives, such as account executive, sales manager, or customer success
• Identify missing steps, gaps, or unrealistic scenarios in the AI’s sales reasoning
• Create scenario variations to represent different SaaS business models and target customer segments

SaaS Sales Manager, AI Trainer

• Review and refine AI-generated outputs for accuracy, logical consistency, and real-world applicability
• Evaluate responses for technical correctness, clarity, and alignment with best practices in AI
• Draft realistic and challenging scenarios and tasks for AI models to assess their reasoning, capabilities, and limitations
• Identify weak points or oversights in AI reasoning, proposed solutions, or output generation
• Suggest improvements or corrections to help AI systems perform more effectively on professional and technical tasks
• Provide feedback from the perspective of an experienced AI specialist

AI Specialist, AI Trainer

Cloud Engineer

• Review and refine AI-generated responses and cloud architecture outputs
• Evaluate technical accuracy, scalability, security, and real-world applicability of architectural solutions
• Draft realistic architecture scenarios and cloud infrastructure challenges, including common industry use cases (e.g. multi-cloud designs, migration, security, scalability)
• Assess AI reasoning on cloud architecture principles such as infrastructure-as-code, automation, security compliance, and cost optimization
• Identify gaps, misinterpretations, or technical flaws in AI-generated architectural designs
• Create variations of scenarios from different stakeholder perspectives, such as architect, DevOps engineer, CTO, or compliance officer

Cloud Architect – AI Trainer

• Review, evaluate, and refine AI-generated outputs related to medical, biological, or scientific research topics
• Assess outputs for scientific rigor, accuracy, and alignment with real-world research practices and methodologies
• Draft realistic scientific scenarios and case studies, spanning research design, experimental analysis, literature review, and evidence evaluation
• Identify errors, misconceptions, or gaps in AI responses, ensuring they reflect authentic scientific standards
• Create scenario variations from the viewpoints of researchers, clinicians, or research administrators

Medical/Biological Researcher/Scientist – AI Trainer

Business Analyst

• Review and refine AI-generated content related to business analysis, requirements gathering, and problem-solving
• Assess the accuracy, clarity, and business relevance of AI outputs involving process models, business cases, and stakeholder communications
• Draft realistic business scenarios and problem statements across different industries and domains
• Evaluate AI reasoning on topics such as data analysis, process optimization, and decision support
• Identify errors, misinterpretations, or gaps in logic and recommendations
• Create scenario variations to reflect the perspectives of business analysts, project managers, or business leaders

Business Analyst, AI Trainer

• Review and refine AI-generated responses related to tax matters
• Evaluate outputs for technical accuracy, legal compliance, and practical applicability
• Draft realistic tax scenarios, including common topics such as compliance, tax planning, corporate and personal tax, international issues, and VAT
• Assess AI reasoning around statutory requirements, filings, cross-border considerations, and industry-specific tax issues
• Identify gaps or inaccuracies in interpretation or methodology
• Create variations of tax scenarios from different stakeholder perspectives such as advisor, client, or regulatory authority

Tax Specialist – AI Trainer

• Review and refine AI-generated outputs on a variety of real estate topics, including residential and commercial property transactions, client advisories, and property management
• Evaluate responses for technical accuracy, legal compliance, and adherence to real-world real estate practices
• Draft realistic real estate scenarios, such as property inquiries, transaction negotiations, market analysis, compliance, and documentation
• Create variations of the same scenario from different roles, such as agent, buyer, seller, or compliance officer
• Identify gaps, misinterpretations, or oversimplified reasoning in AI-generated content
• Assess and improve AI reasoning around industry-specific problem solving, edge cases, and application of regulations

Realtor – AI Trainer, Freelance

Product Marketing

• Review and refine AI-generated content related to go-to-market strategy, product launches, sales enablement, and market research
• Evaluate outputs for accuracy, business relevance, and strategic impact
• Draft realistic scenarios involving product positioning, competitive analysis, and market entry planning
• Assess AI reasoning on GTM best practices, data-driven decision making, and stakeholder alignment
• Identify gaps or errors in AI-generated GTM approaches and offer detailed insights for improvement
• Create scenario variations and perspectives, such as those of GTM leads, product managers, or sales executives

Go-To-Market Strategist, AI Trainer

• Review and refine AI-generated responses on Lean, Six Sigma, process improvement, operational excellence, and related topics
• Evaluate outputs for technical accuracy, methodological soundness, and real-world applicability
• Draft realistic business scenarios involving Lean transformations, Six Sigma projects, root cause analysis, waste reduction, process mapping, and continuous improvement
• Create scenario variations from perspectives such as Lean consultant, Black Belt project leader, process owner, executive sponsor, or frontline staff
• Identify gaps in reasoning, superficial application of methodologies, or misinterpretation of Lean/Six Sigma principles

Lean / Six Sigma Black Belt Consultant, AI Trainer

• Review and improve AI-generated marketing materials, scenarios, and campaign outputs
• Evaluate marketing content for strategic coherence, creativity, and adherence to branding guidelines
• Draft realistic marketing scenarios and case studies, including digital campaigns, content strategies, and go-to-market plans
• Assess AI reasoning on topics such as market research, campaign optimization, and customer segmentation
• Identify gaps, errors, or ineffective strategies in AI-produced marketing outputs
• Create scenario variations from the perspective of marketers, campaign managers, and brand strategists

Marketeer – AI Trainer, Freelance

• Review and improve AI-generated content on themes such as business turnarounds, change management strategies, organizational restructuring, and process optimization
• Assess content for accuracy, practicality, and alignment with industry standards
• Draft realistic case studies reflecting scenarios like post-merger integration, cultural transformation, crisis management, and change resistance
• Design scenario variations from the perspectives of executives, managers, HR leads, employees, consultants, or board members
• Identify flawed assumptions, incomplete change plans, or adverse stakeholder impacts

Turnaround/Change Consultant – AI Trainer, Freelance

• Review and refine AI-generated responses related to treasury operations, cash management, and financial risk management
• Evaluate responses for technical accuracy, compliance, and real-world applicability
• Draft realistic treasury scenarios across corporate, banking, and financial contexts, including liquidity planning, foreign exchange, payments, and risk assessment
• Assess AI reasoning around treasury policies, procedures, and regulatory frameworks
• Identify gaps or misinterpretations in methods or analysis
• Create scenario variations from the perspective of different stakeholders such as treasurer, CFO, or risk manager

Treasury Specialist – AI Trainer

• Review and enhance AI-generated responses related to M&A processes and transactions
• Assess outputs for technical accuracy, realistic deal mechanics, and industry alignment
• Draft realistic M&A scenarios and use-cases, covering due diligence, deal structuring, valuation, negotiations, SPA provisions, regulatory review, and integration
• Evaluate AI reasoning regarding regulatory compliance, strategic rationale, financial modeling, negotiation tactics, and cross-border considerations
• Identify errors, unrealistic assumptions, and methodological gaps in M&A advice or scenario logic
• Create scenario variations representing perspectives of different stakeholders — such as buyer, seller, advisor, or regulator

M&A Specialist, AI Trainer

Customer Support

• Review and refine AI-generated responses related to sales support scenarios
• Evaluate AI outputs for accuracy, practicality, and alignment with real-world sales processes
• Draft realistic sales support case studies and scenarios, covering areas like lead management, CRM usage, customer engagement, order processing, and sales analytics
• Assess AI reasoning around sales processes, client communications, objection handling, and follow-up best practices
• Identify gaps, misinterpretations, or oversimplified logic in AI outputs
• Create scenario variations from the perspective of different sales stakeholders, such as support specialists, sales reps, managers, and clients