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Level Ai Jobs in Iowa (NOW HIRING)

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... level of individual subsections. * Author rubrics: break a section of law into a checklist of ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... level of individual subsections. * Author rubrics: break a section of law into a checklist of ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... level of individual subsections. * Author rubrics: break a section of law into a checklist of ...

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level Associate & Summary The Opportunity As an AI Engineer, you will be at the forefront of transforming raw ...

Sr. AI Integration Engineer

Des Moines, IA

$101K - $136K/yr

Provide first-level support for production AI workflows that support critical business processes, including monitoring, issue triage, defect resolution, incident coordination, and early-life ...

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Level Ai information

See Iowa salary details

$10.3K

$81.4K

$106.1K

How much do level ai jobs pay per year?

As of Aug 23, 2026, the average yearly pay for level ai in Iowa is $81,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $101,000.00 per year, depending on experience, location, and employer.

What is a Level AI engineer?

A Level AI Engineer is a professional who specializes in developing and deploying artificial intelligence systems at a specific proficiency or seniority level within an organization. Their responsibilities typically include designing machine learning models, optimizing algorithms, and integrating AI solutions into products or services. The term 'Level' usually refers to the engineer's experience, skill set, and role within the company, such as junior, mid-level, or senior AI engineer. These professionals often work closely with data scientists, software engineers, and product teams to deliver intelligent solutions. Their work is essential for advancing automation, analytics, and decision-making capabilities in various industries.

What are the key skills and qualifications needed to thrive as a Level AI engineer?

To thrive as a Level AI Engineer, a strong background in computer science, mathematics, and experience with machine learning algorithms is essential, often supported by a relevant degree. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and knowledge of cloud computing platforms are typically required. Analytical thinking, problem-solving skills, and effective collaboration make individuals stand out in this role. These skills are crucial for developing, deploying, and optimizing AI solutions that meet complex business and technical needs.

What are typical challenges faced by Level AI specialists when implementing AI solutions in real-world business environments?

Level AI specialists often encounter challenges such as integrating AI systems with existing legacy infrastructure, ensuring data quality and privacy, and managing stakeholders’ expectations regarding AI capabilities. Collaboration with cross-functional teams like IT, data engineering, and business units is crucial to align technical solutions with organizational goals. Additionally, staying up-to-date with evolving AI technologies and regulatory compliance requirements is essential for long-term success in this role.

What is the difference between Level Ai vs Data Analyst?

AspectLevel AiData Analyst
Required CredentialsTypically requires knowledge of AI tools, programming, and data science certificationsOften requires a bachelor's degree in statistics, mathematics, or related fields; certifications like Microsoft Excel or Tableau are common
Work EnvironmentTech-focused, often in AI development teams or startupsBusiness or corporate settings, analyzing data to inform decisions
Employer & Industry UsageUsed in AI and machine learning companies, tech firmsUsed across industries like finance, marketing, healthcare, and more
Search & Comparison IntentUnderstanding AI-specific roles, career paths in AIAnalyzing data, reporting, and insights generation

Level Ai and Data Analyst roles share overlapping skills in data handling and analysis. However, Level Ai focuses more on AI tools and machine learning, while Data Analysts primarily interpret data to support business decisions. The choice depends on your interest in AI development versus data reporting and analysis.

Do entry-level artificial intelligence jobs exist?

Yes, entry-level artificial intelligence jobs are available and typically require foundational skills in programming, data analysis, and machine learning. These roles often include titles like AI analyst, junior data scientist, or machine learning engineer and may require familiarity with tools such as Python, TensorFlow, or scikit-learn.

What are popular job titles related to Level Ai jobs in Iowa?

For Level Ai jobs in Iowa, the most frequently searched job titles are:

Infographic showing various Level Ai job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $81,403 per year, or $39.1 per hour.

Tax (SALT) AI Training Specialist

micro1 AI

Davenport, IA • Remote

$20 - $30/hr

Part-time

Posted 12 days ago


Job description

Job Title: Accountant (CPA/CA)


Job Type: Contract


Location: Remote


Job Summary: You'll use your tax expertise to help train next-generation AI systems. The core work is reading US sales and use tax statutes and defining exactly what an AI's formal translation of the law must capture to be correct. Work spans multiple state jurisdictions, with some federal provisions as well. No prior AI experience needed. Your ability to read a statute and break it into precise, testable requirements is what matters.


Key Responsibilities:

  1. Read and interpret sales and use tax statutes and regulations across US state jurisdictions, and occasionally federal tax provisions, at the level of individual subsections.
  2. Author rubrics: break a section of law into a checklist of discrete requirements the AI's translation must satisfy, grounded strictly in the statute text and written independently of the AI's output.
  3. Assign severity to each requirement (critical vs. secondary vs. minor) based on genuine statutory weight, not defaulting everything to critical.
  4. Review the AI's formal translation of a statute and score it pass/fail against your rubric, checking that conditions, thresholds, AND/OR logic, and exceptions are captured accurately.
  5. Write clear, self-contained test scenarios (including edge cases) for failed criteria, with explicit facts, dates, amounts, and expected outcomes.
  6. Identify and flag discrepancies, statutory exceptions, and genuine ambiguities in the law.
  7. Work within a digital review platform, submitting structured written evaluations.


Required Skills and Qualifications:

  1. Active CPA license, Chartered Accountant designation, or experience as a US tax attorney.
  2. Sales and use tax or broader state and local tax statutory experience strongly preferred.
  3. Proven ability to read and interpret tax statutes and regulations, not just prepare returns.
  4. Comfort working with legal logic: conditions, thresholds, AND/OR structures, exceptions, and defined terms.
  5. Strong written communication with a focus on precision. Another reviewer should reach the same conclusion from your criteria.
  6. High attention to detail, especially around "except for" clauses and edge cases.
  7. Comfort providing structured feedback through a digital review interface.


Preferred Qualifications:

  1. Experience across multiple state tax jurisdictions.
  2. Enrolled Agent designation, or federal tax experience relevant to the scenario-review track.
  3. Direct experience reviewing or validating AI or technology-driven tax content.
  4. Background in training teams or giving written feedback on legal/tax language.
  5. Interest in the intersection of technology and tax compliance.