Labor Relations Specialist - AI trainer at micro1

Job Description

Job Title:Labor Relations Specialist - AI trainer

Job Type:Part-time

Location:Remote

Job Summary:

Join our customer's team as a dynamic Labor Relations Specialist - AI trainer, where your expertise will guide the next generation of AI in understanding labor relations. Use your subject-matter expertise to shape AI-driven solutions for dispute resolution, collective bargaining, and grievance management, all while working in a flexible, fully remote environment.

Key Responsibilities:

• Train and refine AI systems using real-world labor relations scenarios and best practices.
• Advise on and simulate negotiation strategies for collective bargaining agreements.
• Develop AI training materials that accurately reflect grievance procedures and employee complaint handling.
• Collaborate with AI developers and data scientists to ensure labor relations expertise is embedded in product design.
• Provide actionable insights to help resolve workplace disputes between management and employees.
• Stay current on labor relations trends, legal updates, and collective bargaining landscape to inform AI training content.
• Communicate complex labor relation concepts effectively in both written and verbal formats to technical and non-technical audiences.

Required Skills and Qualifications:

• Proven experience as a Labor Relations Specialist, Business Agent, Grievance Manager, or similar role.
• Subject-matter expertise in labor relations and dispute resolution.
• Strong written and verbal communication skills with a passion for clear and compassionate dialogue.
• Solid understanding of collective bargaining agreements and grievance procedures.
• Experience collaborating with cross-functional teams in a remote setting.
• Ability to translate labor relations knowledge into actionable training for AI models.
• Detail-oriented with strong organizational and analytical skills.

Preferred Qualifications:

• Prior experience in AI training or technology-driven learning environments.
• Knowledge of emerging trends in labor law and workplace automation.
• Experience working with or training data for artificial intelligence applications.