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Artificial Intelligence And Machine Learning Jobs in Missouri

Lead Engineer AI/ML - Onsite

Springfield, MO ยท On-site

$93K - $122K/yr

Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Computer Engineering, Applied Mathematics, or a related technical field, or ...

Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on ...

Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on ...

This individual will collaborate with technical and business stakeholders to identify opportunities for leveraging artificial intelligence and machine learning technologies across a variety of ...

This individual will collaborate with technical and business stakeholders to identify opportunities for leveraging artificial intelligence and machine learning technologies across a variety of ...

This individual will collaborate with technical and business stakeholders to identify opportunities for leveraging artificial intelligence and machine learning technologies across a variety of ...

Showing results 21-40

Artificial Intelligence And Machine Learning information

See Missouri salary details

$13

$24

$45

How much do artificial intelligence and machine learning jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for artificial intelligence and machine learning in Missouri is $24.71, according to ZipRecruiter salary data. Most workers in this role earn between $20.05 and $26.15 per hour, depending on experience, location, and employer.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What are the key skills and qualifications needed to thrive as an artificial intelligence and machine learning engineer?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch. They are found across industries including technology, healthcare, finance, and automotive sectors.

What are popular job titles related to Artificial Intelligence And Machine Learning jobs in Missouri?

For Artificial Intelligence And Machine Learning jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Artificial Intelligence And Machine Learning jobs?

Cities in Missouri with the most Artificial Intelligence And Machine Learning job openings:

Infographic showing various Artificial Intelligence And Machine Learning job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $51,406 per year, or $24.7 per hour.

Data Annotation Quality Control Analyst

Enabled Intelligence

Saint Louis, MO โ€ข On-site

$23/hr

Full-time

Re-posted 8 days ago


Job description

Data Annotation Quality Control Analyst About Enabled Intelligence, Inc. Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs.  Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.    At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved!  If the idea of working in a collaborative, energetic and people focused environment where we are working together to build something meaningful excites you, Enabled Intelligence might just be the team you are looking for!  Data Annotation Quality Control Analyst Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. Accuracy of the data used to train AI models is one of the biggest factors in the effectiveness of the AI performance. As a member of the Enabled Intelligence Quality Control team, your role is to help ensure our clients receive the highest quality of data. You will review data such as geospatial imagery (EO, RGB, IR, SAR), Full Motion Video, and types of documents that have been annotated to identify and correct errors such as missed objects, miss-classifications and false positives. You will be responsible for recognizing patterns and sharing this analysis with project managers and the director of Quality Delivery. Joining our team means playing an integral role for the future of government AI/ML capabilities. Responsibilities Use advanced analytic tools to review data (EO, RGB, IR, SAR, FMV) that has been annotated to identify and correct errors such as missed objects, miss-classifications and false positivesDiligently track and analyze patterns of errors and keep Project Managers and the Director of Quality Delivery up to dateProcess project data according to established procedures and guidelines Provide feedback and ideas on process improvements or concerns that may impact project performance Required Qualifications and Skills Strong computer skills including proficiency in Excel and PowerPoint Strong analytical skills, visual spatial recognition, pattern recognition and attention to detail Ability to follow directions and meet deadlines Ability to communicate reliably Ability to be a team player and work with individuals with different communication, learning and working stylesAbility to work independently including managing your schedule, attending all required meetings and completing projects within a deadline Ability to work out of the Enabled Intelligence office located in St. Louis, MO Monday-Friday during normal business hours Must be a US Citizen Desired Qualifications and SkillsPrevious imagery-based Data Annotation or feature extraction experience including EO, RGB, IR, SAR and/or FMVPrevious Data Annotation Quality Control experience Ability to answer project questions and provide one on one performance feedback to Data Annotators Prior experience with business productivity tools like Microsoft Office, and/or Slack Highschool Degree Physical Requirements Prolonged periods of sitting at a desk and working on a computer Background Check & Security Clearance Applicants selected will be subject to background investigation and must meet requirements for employment.
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