AI Leadership & Management Instructor (Remote, Freelance)

Alignerr Corp.; Dublin; À distance; EUR 55 000 - 83 000; Temps partiel

Avantages offerts par ce poste

Autonomy

Flexible schedule

Global collaboration

Résumé du poste

Alignerr Corp. is seeking an experienced Management & Leadership Instructor (AI Training) to help shape how AI systems understand organizational behavior, decision-making, and leadership strategy. This fully remote contract offers flexible hours and asynchronous work.

You will review AI-generated management scenarios, evaluate AI reasoning around teams and incentives, identify gaps, and provide structured feedback to improve how models handle managerial decisions.

Qualifications

• 3+ years of experience teaching management or leadership at the postsecondary level.
• Strong command of organizational behavior, leadership theory, and management principles.
• Skilled at evaluating decision-making quality and analyzing complex tradeoffs.
• Comfortable reading and evaluating AI-generated scenarios and recommendations.

Responsabilités

• Review AI-generated management scenarios used in model training.
• Evaluate the quality of AI reasoning around teams, incentives, and organizational structure.
• Identify unrealistic assumptions, logical gaps, or weak decision-making frameworks.
• Provide clear, structured feedback to improve how AI models handle managerial reasoning.
• Work independently and asynchronously on task-based assignments.

Connaissances

Teaching management

Organizational behavior

Leadership theory

Decision-making analysis

Remote collaboration

Formation

MBA or Master's degree in Management or related field

Description du poste

Alignerr Corp. is seeking an experienced Management & Leadership Instructor (AI Training) to help shape how AI systems understand organizational behavior, decision-making, and leadership strategy. This fully remote contract offers flexible hours and asynchronous work.

You will review AI-generated management scenarios, evaluate AI reasoning around teams and incentives, identify gaps, and provide structured feedback to improve how models handle managerial decisions.