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Data Labeling information

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are the key skills and qualifications needed to thrive in data labeling, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

How can I get started in data labeling?

To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

Is data labeling a good career?

Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a team environment.

What job categories do people searching Data Labeling jobs in Belleville, IL look for?

The top searched job categories for Data Labeling jobs in Belleville, IL are:

What cities near Belleville, IL are hiring for Data Labeling jobs?

Cities near Belleville, IL with the most Data Labeling job openings:

Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Belleville, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Geospatial AI Data Annotator

Enabled Intelligence

Saint Louis, MO • On-site

$20/hr

Full-time

Re-posted 26 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 SkillsEligibility to obtain a Top Secret- SCI security clearanceUS 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.
Job Posted by ApplicantPro