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Level Ai Jobs in Iowa (NOW HIRING)

No prior experience in AI is required -- your domain knowledge is what matters. [Link to video] Key ... Experience with mobile devices and a high level of digital literacy. * Physical capability to ...

No prior experience in AI is required -- your domain knowledge is what matters. [Link to video] Key ... Experience with mobile devices and a high level of digital literacy. * Physical capability to ...

AI Engineer

Des Moines, IA · On-site

$50K - $112K/yr

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 ...

AI Engineer

Des Moines, IA · On-site

$55K - $187K/yr

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

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 ...

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The Opportunity As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and ...

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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 3, 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 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 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 is the salary of level AI?

The salary for a Level AI role varies depending on experience, location, and industry, but entry-level positions typically start around $70,000 to $100,000 annually. More experienced professionals or specialized roles can earn upwards of $150,000 or more, especially in tech hubs or companies requiring advanced skills in machine learning and data analysis.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or executive role, which offers compensation in that range including salary, bonuses, and stock options. These roles often require advanced skills in data science, deep learning, and experience with AI tools and frameworks, along with a strong track record of innovation or leadership in the field.

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.

What is the most entry-level AI job?

An entry-level AI job is often a Data Labeler or Data Annotator, responsible for preparing and labeling data for machine learning models. These roles typically require basic computer skills, attention to detail, and familiarity with data annotation tools, and they serve as a starting point for careers in AI development.

What are the key skills and qualifications needed to thrive as a Level AI (Artificial Intelligence) Engineer, and why are they important?

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.

Is Level AI a good company?

Level AI is a technology company specializing in AI and machine learning solutions. The company's reputation depends on factors such as employee reviews, work environment, and growth opportunities, which vary by individual experience. Job seekers should research current reviews and company culture to assess if it aligns with their career goals.
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 July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $81,403 per year, or $39.1 per hour.

AI Trainer (Computer Vision) - Remote

micro1 AI

Davenport, IA • Remote

$13 - $15/hr

Part-time

Re-posted 7 days ago


Job description

Job Title: Data-Video Generalist


Job Type: Contractor


Location: Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


[Link to video]


Key Responsibilities:

  1. Capture precise motion data using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow.


Start Timeline & Availability

We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.