Manufacturing AI Trainer — Remote, Contract

LinkedIn; United States; On-site; USD 83,000 - 165,000; Part time

Job summary

LinkedIn is seeking experienced Manufacturing experts to join as a part-time, project-based AI trainer consultant working remotely in the United States. Consultants will design realistic tasks and evaluation rubrics for the Manufacturing industry to train and assess large language models.

Contributors will create authentic scenarios, define deliverables, and craft detailed checklists that measure model performance while ensuring confidentiality and compliance.

Qualifications

• Currently based in the United States.
• Substantial professional experience in Manufacturing.
• Experience in roles such as Industrial Engineer, Mechanical Engineer, Buyers and Purchasing Agents, Shipping/Receiving, and Supervisors.
• Knowledge of industry terminology, workflows, documentation, and quality standards.
• Ability to translate professional judgment into explicit evaluation criteria.

Responsibilities

• Create original, real-world professional tasks for the Manufacturing industry.
• Develop clear prompts with realistic requirements, constraints, and expected work products.
• Create prompt-specific scoring rubrics or evaluation checklists.
• Define essential success criteria and material response failures.
• Apply professional judgment to make tasks challenging and representative of industry practice.
• Cover multiple occupations within the assigned industry.
• Review model responses and document deficiencies.
• Revise submissions based on reviewer feedback.
• Ensure submissions exclude confidential or sensitive information.

Skills

Manufacturing experience

Analytical skills

Professional writing

Industry terminology knowledge

Evaluation criteria development

Job description

LinkedIn is seeking experienced Manufacturing experts to join as a part-time, project-based AI trainer consultant working remotely in the United States. Consultants will design realistic tasks and evaluation rubrics for the Manufacturing industry to train and assess large language models.

Contributors will create authentic scenarios, define deliverables, and craft detailed checklists that measure model performance while ensuring confidentiality and compliance.