JobShiftAtlas
Source-backed profile

Instructional Coordinators

Develop instructional material, coordinate educational content, and incorporate current technology into instruction in order to provide guidelines to educators and instructors for developing curricula and conducting courses. May train and coach teachers. Includes educational consultants and specialists, and instructional material directors.

BLS SOC 25-9031 · O*NET-SOC 25-9031.00 · BLS 2025–2035 · O*NET 31.0

Median annual wage, 2025

$77,440

Projected change, 2025–2035

1.6%

2025–2035 annual average openings

23,100

AI exposure

Very high

Editorial analysis

Curriculum teams suddenly have an unlimited drafting assistant

Instructional coordinators can use AI to compare standards, draft lesson frameworks, create sample assessments, summarize educational research, analyze curriculum documents, and generate differentiated versions of instructional materials. That can accelerate work that once required extensive manual compilation.

More material makes curation more important

Schools do not necessarily need an unlimited supply of lessons. They need coherent instruction. If every teacher can instantly generate materials, instructional coordinators may spend more time establishing quality standards, checking alignment, evaluating resources, and preventing classrooms from becoming collections of disconnected AI-generated activities.

  • Curriculum mapping can become easier to analyze and update.
  • Professional-development resources can be adapted for different audiences.
  • Student-performance data may reveal patterns more quickly.
  • Human review remains necessary for developmental appropriateness, bias, accuracy, accessibility, and instructional quality.

The occupation may increasingly combine traditional curriculum expertise with technology governance. Instructional coordinators could become key decision-makers about which AI tools belong in classrooms, how teachers should use them, and what evidence would demonstrate that the technology is actually improving learning.

Labor-market picture

Two measures, different questions

These measures offer two different ways to understand the occupation: BLS projections show how national employment may change over time, while relative AI exposure highlights where tasks may intersect with AI-related capabilities. Read them with the work profile and your local context to decide what deserves closer investigation.

Employment

Employment, 2025
248,700 jobs
Projected employment, 2035
252,800 jobs
Projected change, 20252035
4,100 jobs (1.6%)

Relative AI exposure

BLS category: Very high. This is a relative task-exposure classification, not a forecast of employment change, automation, wages, or worker replacement.

Relative AI exposure · Very high

Work profile

Representative tasks

These task statements come from O*NET 31.0. They are source facts, not labels assigned by the AI exposure measure.

  • Observe work of teaching staff to evaluate performance and to recommend changes that could strengthen teaching skills.
  • Plan and conduct teacher training programs and conferences dealing with new classroom procedures, instructional materials and equipment, and teaching aids.
  • Interpret and enforce provisions of state education codes and rules and regulations of state education boards.
  • Conduct or participate in workshops, committees, and conferences designed to promote the intellectual, social, and physical welfare of students.
  • Advise teaching and administrative staff in curriculum development, use of materials and equipment, and implementation of state and federal programs and procedures.
  • Advise and teach students.

Skills that matter

Skills in the source profile

Importance uses O*NET's 1–5 scale. Level uses its 0–7 scale. Select a skill to see its source definition and reported values.

Technology and tools

These technology records come from O*NET and show software or tools reported in the occupation profile. They describe work context, not a required checklist for every employer.

  • Document management software
  • Development environment software
  • Video creation and editing software
  • Computer based training software
  • Network conferencing software
  • Graphics or photo imaging software
  • Web page creation and editing software
  • Desktop publishing software

Preparation

Typical entry education
Master's degree
Related experience
5 years or more
On-the-job training
None

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Morgan is the JobShift Atlas analyst powered by AI. Answers draw from the evidence on this page and explain what it can tell you.

Source provenance

Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.