As of January 01, 2025, the average annual salary for an AI Engineer IV in Yuma, AZ is $170,439. According to Salary.com, salaries can range from a low of $130,477 to a high of $209,944, with most professionals earning between $149,522 and $191,118.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $178,949 | $14,912 | $3,441 | $86 |
| Average | $159,587 | $13,299 | $3,069 | $77 |
| 25th Percentile | $140,001 | $11,667 | $2,692 | $67 |
An entry-level AI Engineer IV with under 1 year experience makes about $160,731. With less than 2 years of experience, a mid-level AI Engineer IV makes around $162,280. After 2-4 years, the AI Engineer IV pay rises to about $163,829. Those senior AI Engineer IV with 5-8 years of experience earn roughly $166,927, and those AI Engineer IV having 8 years or more experience are expected to earn about $172,158 on average.
| Levels | Salary |
|---|---|
| Entry Level AI Engineer IV | $160,731 |
| Intermediate Level AI Engineer IV | $162,280 |
| Senior Level AI Engineer IV | $163,829 |
| Specialist Level AI Engineer IV | $166,927 |
| Expert Level AI Engineer IV | $172,158 |
| Entry Level | 1% |
| Mid Level | 2% |
| Senior Level | 3% |
| Top Level | 5% |
| Experienced | 8% |
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Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
Insight: Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.
Logistics: In a general business sense, logistics is the management of the flow of things between the point of origin and the point of consumption to meet the requirements of customers or corporations.
Data Collection: Data collection is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a component of research in all fields of study including physical and social sciences, humanities, and business. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same. The goal for all data collection is to capture quality evidence that allows analysis to lead to the formulation of convincing and credible answers to the questions that have been posed.
| Skill | Salary | Demand |
|---|---|---|
|
Research Design
|
$182,370 |
7%
|
|
Commitment
|
$180,666 |
6%
|
|
Inference
|
$180,666 |
6%
|
|
Continuous Learning
|
$178,961 |
5%
|
|
Empowerment
|
$178,961 |
5%
|
|
Initiative
|
$177,257 |
4%
|
