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Data Annotation Engineer Jobs in Missouri (NOW HIRING)

Walmart

(USA) Staff, Data Scientist

Noel, MO · On-site

Apply SRE (Site Reliability Engineering) principles for ML workloads, optimizing cloud deployments ... Enhance data feedback/annotation workflows to improve efficiency of our labeling team * Demonstrate ...

Walmart

(USA) Staff, Data Scientist

Cassville, MO · On-site

Apply SRE (Site Reliability Engineering) principles for ML workloads, optimizing cloud deployments ... Enhance data feedback/annotation workflows to improve efficiency of our labeling team * Demonstrate ...

Walmart

(USA) Staff, Data Scientist

Anderson, MO · On-site

Apply SRE (Site Reliability Engineering) principles for ML workloads, optimizing cloud deployments ... Enhance data feedback/annotation workflows to improve efficiency of our labeling team * Demonstrate ...

Jobgether

$37.75 - $51/hr

As a C++ Developer, you will contribute to the development of high-performance backend solutions ... data processing. * Maintain and improve internal annotation tools and specialized databases ...

UtiliSource

Drafter I

Jonesburg, MO · On-site

... engineer instructions, and fielding data. * Maintain clean, organized, and accurate drawing sets ... Apply basic drafting standards such as scale, symbology, layering, annotation, and sheet ...

UtiliSource

Drafter I

Jonesburg, MO · On-site

... engineer instructions, and fielding data. * Maintain clean, organized, and accurate drawing sets ... Apply basic drafting standards such as scale, symbology, layering, annotation, and sheet ...

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Missouri

Data Annotation Engineer information

See Missouri salary details

$48.3K

$138.3K

$184.8K

How much do data annotation engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data annotation engineer in Missouri is $138,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $183,800.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

Does data annotation really pay?

Data annotation engineers can earn competitive wages, often paid hourly or per task, with pay rates varying based on experience, complexity of annotations, and the platform or employer. Entry-level roles may start at minimum wage, while experienced annotators or those with specialized skills can earn higher salaries or freelance rates. Overall, data annotation can provide a reliable income, especially for remote or flexible work arrangements.

What is the highest salary for data annotator?

The highest salary for a data annotation engineer can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of annotation tasks. Senior roles or those with specialized skills in tools like Labelbox or CVAT may earn higher compensation. Salaries vary widely across companies and regions but generally reflect the technical skills required for high-quality data labeling.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to prepare it for machine learning models. They often use specialized tools and follow guidelines to ensure data quality, supporting the development of AI systems.

How hard is it to get hired by data annotation?

Getting hired as a data annotation engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require advanced degrees, but strong accuracy and consistency are important for success in the role.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Missouri? For Data Annotation Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Missouri look for? The top searched job categories for Data Annotation Engineer jobs in Missouri are:
Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Missouri as of July 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $138,319 per year, or $66.5 per hour.
Geospatial AI Data Annotator- St. Louis

Geospatial AI Data Annotator- St. Louis

Enabled Intelligence

Saint Louis, MO • On-site

$20/hr

Full-time

Posted 19 days ago

Job description

Geospatial AI Data Annotator
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!
Geospatial AI Data Annotator
Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. As a member of the Enabled Intelligence annotation team, you will help us collect and annotate unclassified, sensitive, and classified data for AI/ML technologies. We are looking for detail-oriented individuals who will collaborate with our team, label large amounts of data, and provide feedback to our data scientists and engineers to create high-quality labeled data sets. Joining our team means playing an integral role for the future of government AI/ML capabilities.
Responsibilities
  • Use advanced analytic tools to locate, label, tag and categorize various elements in large datasets
  • Interact with data science and data engineering teams to design new features for more efficient labeling techniques
  • Gain an in-depth knowledge of using both commercial and custom annotation software tools
  • Keep project manager informed of platform enhancement ideas, risks, and issues

Required Qualifications and Skills
  • Eligibility to obtain a Top Secret- SCI security clearance
  • US Citizenship Required
  • Ability to follow directions and meet deadlines
  • Ability to communicate reliably
  • Ability to learn and retain new information and apply it to a variety of projects
  • Ability to be a good 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 understand and apply guidelines for data annotation
  • Ability to perform repetitive tasks while paying constant close attention to detail and delivery accurate and precise work
  • Ability to keep information confidential
  • Ability to work out of the Enabled Intelligence office located in St. Louis MO, VA Monday-Friday during normal business hours

Desired Qualifications and Skills
  • Previous experience working in a professional, office environment
  • Previous experience in an IT based position
  • Education background in information technology or technical field
  • Previous experience with data labeling or image annotation including analyzing 2D and 3D images, video, audio files, or unstructured text (EO, IR, SAR, FMV)
  • 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
  • Applicants selected will be subject to background investigation and must meet requirments for employment.

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