Data Science Co-Op
Bridgeton, MO · On-site
An example annotation program would be the use of Label Studio to identify and tag objects in images. * Create and use PowerShell and Python scripts to acquire and organize data. * Create and use VBA ...
Data Science Co-Op
Bridgeton, MO · On-site
An example annotation program would be the use of Label Studio to identify and tag objects in images. * Create and use PowerShell and Python scripts to acquire and organize data. * Create and use VBA ...
Data Science Co-Op
Bridgeton, MO · On-site
An example annotation program would be the use of Label Studio to identify and tag objects in images. * Create and use PowerShell and Python scripts to acquire and organize data. * Create and use VBA ...
Data Science Co-Op
Bridgeton, MO · On-site
An example annotation program would be the use of Label Studio to identify and tag objects in images. * Create and use PowerShell and Python scripts to acquire and organize data. * Create and use VBA ...
(USA) Staff, Data Scientist
Noel, MO · On-site
Enhance data feedback/annotation workflows to improve efficiency of our labeling team * Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and ...
(USA) Staff, Data Scientist
Noel, MO · On-site
Enhance data feedback/annotation workflows to improve efficiency of our labeling team * Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and ...
(USA) Staff, Data Scientist
Cassville, MO · On-site
Enhance data feedback/annotation workflows to improve efficiency of our labeling team * Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and ...
(USA) Staff, Data Scientist
Cassville, MO · On-site
Enhance data feedback/annotation workflows to improve efficiency of our labeling team * Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and ...
(USA) Staff, Data Scientist
Anderson, MO · On-site
Enhance data feedback/annotation workflows to improve efficiency of our labeling team * Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and ...
(USA) Staff, Data Scientist
Anderson, MO · On-site
Enhance data feedback/annotation workflows to improve efficiency of our labeling team * Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and ...
Annotation Labelling information
What is annotation labelling?
Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.
What are the key skills and qualifications needed to thrive as an annotation labelling specialist?
To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.
What are some common challenges faced by annotation labelling professionals, and how can they be managed?
Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.
What is the difference between Annotation Labelling vs Data Labeling Specialist?
| Aspect | Annotation Labelling | Data Labeling Specialist |
|---|---|---|
| Credentials | Basic technical skills, attention to detail | Similar skills, sometimes additional domain knowledge |
| Work Environment | Data annotation platforms, remote or office | Data annotation tasks, often remote or in-office |
| Industry Usage | AI, machine learning, autonomous vehicles | AI, machine learning, healthcare, retail |
| Search & Comparison | Commonly compared for entry-level data tasks | Related but broader role |
Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.
What are popular job titles related to Annotation Labelling jobs in Missouri?
For Annotation Labelling jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Annotation Labelling jobs in Missouri look for?
The top searched job categories for Annotation Labelling jobs in Missouri are:
What cities in Missouri are hiring for Annotation Labelling jobs?
Cities in Missouri with the most Annotation Labelling job openings:
Hunter Engineering Company rating
9.3
Based on 9 frontline employees who took The Breakroom Quiz
13th of 499 rated machine equipment manufacturers
Job description
Looking to build your career with a company that values innovation, stability, and people? Join our dedicated team as a Data Science Co-Op in Bridgeton, MO!
Since 1946, Hunter Engineering has been aligning cutting-edge technology with a strong commitment to quality. As a family-owned, American-made company, Hunter is the global leader in automotive service equipment, with our products used in over 130 countries by top vehicle manufacturers, tire companies, and service centers.
Were proud to be recognized as a Best Places to Work finalist by the St. Louis Business Journal for five consecutive years (2022 2026) a testament to our commitment to our people. Here, employees are supported, challenged, and take pride in their work. We offer exceptional benefits, a healthy work-life balance, and meaningful opportunities for professional growth.
If youre ready to join a team thats shaping the future of automotive service, read on.
As a Data Science Co-Op, you will be responsible for the research and development of various features based on Machine Learning. The co-op will work primarily on a Windows PC with Python while most of the machine learning training is done on a Linux machine. Our goal is to provide an experience that will be an important, effective first step in the career of a future engineer.
This position is for a Spring 2027 Co-Op, with a start date of January 2027 and an end date of May 2027.
What Youll Do:
- Train, test, and evaluate deep learning models.
- Data annotation and manipulation. An example annotation program would be the use of Label Studio to identify and tag objects in images.
- Create and use PowerShell and Python scripts to acquire and organize data.
- Create and use VBA scripts in Excel as part of data evaluation.
- Create and use Python programs to clean and evaluate data.
- Work with source control tools like GIT to save and control data.
- Document frequently used processes for others to duplicate.
- Update training, test, and validation data used for a specific ML model.
- Work with an AI library like TensorFlow or PyTorch.
- Configure and use a Linux PC to shorten ML model training times.
- Experiment with ML models and data to improve results.
- Software design and testing.
- Additional duties as assigned.
What Youll Bring:
- Minimum 3.0 GPA (must be on resume)
- Major studies in Computer Science or Computer Engineering
- Programming experience
- Excellent communication skills
What We Offer:
- Real-world experience
- Off-campus team bonding/appreciation event
- Free Onsite Fitness & Recreation Center
Join us in our mission to Align People and Innovation to Drive Excellence!
- Make Lives Better Together
- Take Pride in the Extraordinary
- Define the Standard
Hunter Engineering does not provide immigration-related sponsorship for this role. Please do not apply for this role if you will need immigration sponsorship (e.g., H-1B, TN, STEM OPT) now or in the future.
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