Management & Leadership Instructor

Alignerr; Sydney; Remoto; AUD 83.000 - 152.000; Tempo integral

Resumo da vaga

Alignerr Corp. seeks experienced instructors to assess AI-generated leadership scenarios and provide expert feedback to improve AI reasoning in management contexts.

This remote, flexible contract role offers 10–40 hours per week and lets you work independently with asynchronous deadlines. You’ll review organizational behavior scenarios, evaluate decision-making quality, and help shape AI models by offering clear, actionable insights.

Qualificações

• 3+ years of experience teaching management or leadership at the postsecondary level.
• Strong grounding in organizational behavior, leadership theory, and management practice.
• Skilled at evaluating complex decision-making and articulating what makes reasoning strong or weak.
• Comfortable reviewing written scenarios and delivering clear, actionable feedback.
• Self-directed and reliable — you meet deadlines without needing hand-holding.

Responsabilidades

• Review AI-generated management and leadership scenarios used in model training.
• Evaluate the quality of reasoning related to team dynamics, incentive structures, and organizational design.
• Identify flawed assumptions, unrealistic outcomes, or weak decision-making logic.
• Provide structured, expert feedback that improves how AI models think through managerial tradeoffs.
• Work independently and asynchronously — on your schedule, at your pace.

Conhecimentos

Leadership theory

Organizational behavior

Critical evaluation

Academic instruction

Self-directed

Formação

MBA or Master’s degree in Management/Organizational Behavior

Ferramentas

AI content evaluation tools

Annotation workflows

Descrição da vaga

Management & Leadership Instructor (AI Training)

About The Role

What does good leadership reasoning actually look like — and can AI get it right? We're looking for experienced management and leadership instructors to help answer that question. As part of this project, you'll evaluate AI-generated scenarios rooted in organizational behavior, team dynamics, and executive decision-making — and your expert feedback will directly shape how AI understands the art and science of management. This is a fully remote, flexible contract role powered by Alignerr (powered by Labelbox), working alongside top AI research teams on meaningful, cutting-edge work.

Position Details

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-Based Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Review AI-generated management and leadership scenarios used in model training
• Evaluate the quality of reasoning related to team dynamics, incentive structures, and organizational design
• Identify flawed assumptions, unrealistic outcomes, or weak decision-making logic
• Provide structured, expert feedback that improves how AI models think through managerial tradeoffs
• Work independently and asynchronously — on your schedule, at your pace

Who You Are

• 3+ years of experience teaching management or leadership at the postsecondary level
• Strong grounding in organizational behavior, leadership theory, and management practice
• Skilled at evaluating complex decision-making and articulating what makes reasoning strong or weak
• Comfortable reviewing written scenarios and delivering clear, actionable feedback
• Self-directed and reliable — you meet deadlines without needing hand-holding

Nice to Have

• MBA or Master's degree in Management, Organizational Behavior, or a related field
• Real-world leadership, operations, or people management experience
• Familiarity with AI systems, content evaluation, or annotation workflows

Why Join Us

• Flexible remote work — contribute on your own schedule, from anywhere
• Meaningful impact — your expertise directly improves AI reasoning on leadership and decision-making
• Cutting-edge exposure — gain firsthand insight into how large language models are trained and evaluated
• Autonomy — work independently on intellectually engaging, high-quality tasks
• Global collaboration — join a network of subject-matter experts contributing to frontier AI projects
• Potential for ongoing work — strong contributors are considered for contract extensions and new projects