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Data Annotation Jobs in High Ridge, MO (NOW HIRING)

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Data Annotation information

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and can be found in various industries like technology and healthcare.

Does data annotation pay well?

Data annotation jobs typically offer entry-level pay that varies depending on the employer, location, and complexity of the tasks. While some positions pay hourly wages comparable to other administrative or clerical roles, experienced annotators working on specialized projects or with advanced tools can earn higher rates. Overall, data annotation is often considered an entry-level position with moderate pay potential.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

How hard is it to get hired by data annotation?

Getting hired for a data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.

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

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.
What cities near High Ridge, MO are hiring for Data Annotation jobs? Cities near High Ridge, MO with the most Data Annotation job openings:
Data Annotation jobs near you
Infographic showing various Data Annotation job openings in High Ridge, MO as of July 2026, with employment types broken down into 2% Locum Tenens, 30% Full Time, 30% Part Time, 1% Contract, 36% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.
Operations Program Manager (Computer Vision), Public Sector

Operations Program Manager (Computer Vision), Public Sector

Scale AI, Inc.

Saint Louis, MO • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

78th of 245 rated software companies

Job description

Scale's Public Sector customer base is growing rapidly, and you will be on the front lines of machine learning (ML) operations to accelerate the development of artificial intelligence (AI) applications for the Department of Defense and other national security customers.

As a Public Sector Operations Program Manager, you will act as the program manager for multiple projects on the Public Sector Computer Vision team, working cross-functionally with our Delivery and Engineering teams, and collaborating with a team of high performing operations managers and subject matter experts to drive operational efficiencies. You will have team and project-level ownership of the operations of our data labeling system and are responsible for delivering data on time and at a high level of quality across diverse data modalities and levels of clearance. All of this serves an ultimate goal of delivering outsize value in supporting our Public Sector customer's AI / ML objectives.You will also help lead how we develop and communicate our operational improvements for the customer.

You will:

  • Design and lead cross-functional initiatives with engineering, product, analytics, and delivery teams (as well as relevant geospatial experts) to achieve project outcomes
  • Innovate on complex computer vision workflows and evaluation of data quality
  • Communicate and own the execution of multiple data annotation workflows across diverse data types (geospatial imagery, video, etc)
  • Optimize data annotation workflows with systems analysis to improve data quality and throughput with a goal achieving optimized machine learning outcomes
  • Outline and deliver on data-driven operational efficiencies on these workflows to achieve business outcomes
  • Partner with an engagement managers to communicate with and shape outcomes for Scale's Public Sector customers

You have:

  • 5+ years of experience in a general manager / program manager position or a similar leadership role in operations
  • The ability to regularly work onsite in both unclassified and secure facilities in either downtown Saint Louis, MO or the Washington D.C. area
  • An analytical, automation-focused mindset, able to analyze provable and traceable data to develop robust, flexible integrations and workflows with metrics-led results
  • Experience working in a fast-paced environment
  • Low ego and a proven pattern of sharing wins with your team
  • A history of successful project management and comfort in ambiguity
  • Willingness to travel up to 25% of the time based on customer + mission needs

Nice to haves:

  • An active TS-SCI security clearance
  • A technical background (education or professional experience with economics, statistics, computer science, or engineering)
  • Experience working in and / or with the U.S. government
  • A deep understanding of ML operations for Computer Vision and Generative AI workflows / products
  • MBA or relevant technical degree


Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC/Hawaii is:
$139,200—$212,000 USD
The base salary range for this full-time position in the location of St. Louis/Suffolk is:
$116,000—$177,000 USD

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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