AI Workforce Specialist

Heartland Technology Group

NOTE:

Project up to 1 year of work. The AI Workforce Specialist designs and delivers structured AI training programs for a customer office‑based and computer‑facing team members. This role helps participants build measurable proficiency in prompt engineering, workflow automation, data validation, analytics support, and responsible AI use. Success in this position is defined by the ability to translate business processes into practical AI‑enabled learning experiences that improve efficiency, accuracy, and policy‑aligned adoption.

The role supports broader organizational transformation by helping customer team members safely integrate AI into daily work and sustain those capabilities over time.

• Design and deliver structured AI workforce training curriculum through instructor‑led sessions, workshops, labs, and applied coaching.
• Assess employee readiness through diagnostic evaluations, prompt construction exercises, and baseline workflow performance measurements.
• Develop and facilitate role‑specific AI use cases that improve drafting, summarization, analysis, reporting, documentation, and decision‑support workflows.
• Guide customer team members in creating repeatable AI‑assisted artifacts such as templates, standard operating procedures, checklists, prompts, and automation guides.
• Ensure training and deployment activities align with governance, compliance, confidentiality, and responsible AI usage standards.
• Measure post‑training outcomes including attendance, competency completion, task‑time reduction, error‑rate improvement, supervisor validation, and operational follow‑up.
• Maintain training records, supporting documentation, and program materials needed for internal reporting, audit readiness, and continuous improvement.
• Collaborate with business leaders, supervisors, and subject matter experts to prioritize workforce training needs and sustain AI adoption across departments.
• Perform other duties as assigned by customer and/or business.

• Analytical
  
  Skills:
  
  Analytical skills looks at the ability of the individual to gather raw data and to process that data into a meaningful form.
• Coaching and Development:
  Coaching and development looks at the ability of an individual to provide guidance and feedback to help others strengthen specific knowledge/skill areas needed to accomplish a task or solve a problem.
• Communication:
  Ability to promote understanding through exceptional written, oral, interpersonal, and presentation skills.
• Detail Oriented:
  Detail orientation looks at the ability of the individual to pay meticulous attention to all aspects of a situation or task, no matter how small or seemingly unimportant.
• Judgment:
  The skill of judgment looks at the ability of the individual to form sound opinions or make decisions by evaluating available information.
• Organized:
  Organizational skills looks at the ability of the individual to be structured and methodical in working skills.
• Problem Solving:
  Problem solving skills looks at the ability of the individual to recognize courses of action which can be taken to handle problems or potential problems, and applying contingency plans to solve those problems.

• 1+ years of experience delivering instructor‑led training, workforce development, technical enablement, or AI‑related business process support
• Experience delivering instructor‑led training, workforce development programs, or technical enablement initiatives
• Experience using AI tools, workflow automation platforms, or analytics technologies in business or operational settings
• Experience assessing learner progress, documenting outcomes, and supporting adoption of new technology‑driven processes

• Experience supporting AI adoption within office‑based, reporting, finance, logistics, human resources, sales, or similar business functions
• Experience building reusable training assets, standard operating procedures, assessments, or role‑based curriculum materials
• Experience working within regulated, policy‑driven, or compliance‑sensitive environments where data governance is important