Background information about the job or company (e.g., role context, company overview)

Large-scale language models are evolving from simple conversational tools into systems capable of analyzing business strategy, operational workflows, and organizational decision-making. With high-quality training data, tomorrow’s AI can help improve business education, support planning and analysis, and assist professionals across industries. That training data begins with you—we need your expertise to help power the next generation of AI.

Responsibilities or duties

On a typical day, you will engage the model with business scenarios, analytical and situational questions, and strategy-based exercises; evaluate logical consistency and real-world applicability; capture reproducible error traces; and provide structured feedback to improve prompts, evaluation frameworks, and reasoning quality. You may also help identify where models oversimplify business processes or misunderstand how organizations operate in practice.

Qualifications or requirements (e.g., education, skills)

Clear, metacognitive communication—explicitly articulating reasoning and decision processes (“showing your work”)—is essential.

Experience needed

A background in business administration, management, economics, entrepreneurship, or a related field is preferred but not required. Experience in business operations, startups, corporate environments, consulting, or project coordination is valuable, and entry-level candidates with foundational knowledge and strong problem-solving skills are encouraged to apply.

Any other provided details (e.g., benefits, work environment, team info, or additional notes)

Ready to turn your business and management knowledge into the knowledge foundation for tomorrow’s AI? Apply today and help train systems that support professionals and organizations worldwide.

• Engage the model with business scenarios, analytical and situational questions, and strategy-based exercises.
• Evaluate logical consistency and real-world applicability.
• Capture reproducible error traces.
• Provide structured feedback to improve prompts, evaluation frameworks, and reasoning quality.
• Identify where models oversimplify business processes or misunderstand how organizations operate in practice.

• Familiarity in areas such as business operations, management principles, organizational behavior, project management, marketing, entrepreneurship, supply chain fundamentals, and strategic planning.
• Strong problem-solving skills.
• Clear, metacognitive communication.

• Background in business administration, management, economics, entrepreneurship, or a related field is preferred but not required.
• Experience in business operations, startups, corporate environments, consulting, or project coordination is valuable.
• Entry-level candidates with foundational knowledge and strong problem-solving skills are encouraged to apply.