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Entry Level Computer Science Artificial Intelligence Jobs in St Louis, MO

Sargent & Lundy

Civil Engineer - Mid-Level

Clayton, MO · Hybrid

$69K - $99K/yr

We also value additional learning, such as a minor, certificate, or other training in Computer Science, Artificial Intelligence, Software Engineering, or related fields that helps you apply ...

Sargent & Lundy

Civil Engineer - Mid-Level

Clayton, MO · Hybrid

$69K - $99K/yr

We also value additional learning, such as a minor, certificate, or other training in Computer Science, Artificial Intelligence, Software Engineering, or related fields that helps you apply ...

Sargent & Lundy

Civil Engineer - Mid-Level

Clayton, MO · On-site

$69K - $99K/yr

We also value additional learning, such as a minor, certificate, or other training in Computer Science, Artificial Intelligence, Software Engineering, or related fields that helps you apply ...

Luzco Technologies LLC

AI Solutions Co-Op

Saint Louis, MO · On-site

$131K/yr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field. * Junior standing or higher preferred.

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All JobsComputer Science Artificial Intelligence JobsEntry Level Computer Science Artificial Intelligence JobsEntry Level Computer Science Artificial Intelligence Jobs in St. Louis, MO

Entry Level Computer Science Artificial Intelligence information

See St Louis, MO salary details

$13

$16

$20

How much do entry level computer science artificial intelligence jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for entry level computer science artificial intelligence in St. Louis, MO is $16.45, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $16.83 per hour, depending on experience, location, and employer.

Is artificial intelligence taking entry-level computer science jobs?

Entry-level computer science jobs involving artificial intelligence are growing as companies seek new talent with skills in machine learning, programming, and data analysis. However, competition remains high, and candidates with relevant internships, certifications, or knowledge of AI tools like Python and TensorFlow have better prospects. Staying current with industry trends and developing practical skills are important for entry-level applicants in this field.

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

What is an entry level computer science artificial intelligence job?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry level computer science artificial intelligence professional?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an entry level computer science artificial intelligence professional?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.
What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in St. Louis, MO? For Entry Level Computer Science Artificial Intelligence jobs in St. Louis, MO, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in St. Louis, MO look for? The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in St. Louis, MO are:
What cities near St. Louis, MO are hiring for Entry Level Computer Science Artificial Intelligence jobs? Cities near St. Louis, MO with the most Entry Level Computer Science Artificial Intelligence job openings:
Entry Level Computer Science Artificial Intelligence jobs near you
Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in St. Louis, MO as of July 2026, with employment types broken down into 79% Full Time, 16% Part Time, 3% Contract, and 2% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $34,222 per year, or $16.5 per hour.

Data Annotation Quality Control Analyst- St. Louis

Enabled Intelligence

Saint Louis, MO • On-site

$23/hr

Full-time

Re-posted 18 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 positives
  • Diligently track and analyze patterns of errors and keep Project Managers and the Director of Quality Delivery up to date
  • Process 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 styles
  • Ability 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 Skills
  • Previous imagery-based Data Annotation or feature extraction experience including EO, RGB, IR, SAR and/or FMV
  • Previous 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.

Apply