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Data Annotation Engineer Jobs in Kansas (NOW HIRING)

Responsibilities : • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation • Participate in remote assignments or attend on-site sessions when required • Follow ...

... emphasizing model evaluation and workflow engineering to ensure reliable solutions ... accuracy metrics, human review, annotation, error analysis). • Experience with ambient ...

... engineering techniques to address challenging business problems. Essential Functions * Under ... Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to ...

Collaborate with product, engineering, and clinical stakeholders to translate exploratory findings ... accuracy metrics, human review, annotation, error analysis). * Experience with ambient ...

Collaborate with product, engineering, and clinical stakeholders to translate exploratory findings ... accuracy metrics, human review, annotation, error analysis). * Experience with ambient ...

Partner with data platform, engineering, and Life Sciences stakeholders to translate business use ... annotation, error analysis). * Proficiency in Python and SQL, and experience working within a ...

Partner with data platform, engineering, and Life Sciences stakeholders to translate business use ... annotation, error analysis). * Proficiency in Python and SQL, and experience working within a ...

Add annotation and dimensions to foundation location plans, sections, and details to PDF for review ... Modify drawings as directed by Design Coordinator, Engineer, or Designer What We Offer: * A ...

Data Annotation Engineer information

See Kansas salary details

$45.9K

$131.5K

$175.7K

How much do data annotation engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data annotation engineer in Kansas is $131,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,900.00 and $174,800.00 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 Kansas? For Data Annotation Engineer jobs in Kansas, the most frequently searched job titles are:
Infographic showing various Data Annotation Engineer job openings in Kansas as of July 2026, with employment types broken down into 66% Full Time, 15% Part Time, and 19% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $131,513 per year, or $63.2 per hour.

AI/ML Data Contributor

TSMG Holding

Wichita, KS • On-site

Full-time

Posted 11 days ago


Job description

Job Summary:
TSMG Holding is seeking AI/ML Data Contributors to support various projects across the United States. In this role, you will assist in improving machine learning models through tasks such as data labeling, content evaluation, and user-based testing.
Responsibilities:
• Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
• Participate in remote assignments or attend on-site sessions when required
• Follow project guidelines and ensure high-quality task completion
• Provide feedback and input during testing activities
• Complete tasks within given timelines
Qualifications:
Required:
• Must be based in the United States
• Strong attention to detail and ability to follow instructions
• Basic computer skills and familiarity with digital tools
• Reliable internet connection and access to a computer or smartphone
• Availability to participate in task-based work (schedule may vary)
Preferred:
• Previous experience in data annotation, QA, or testing
• Interest in AI, machine learning, or emerging technologies
Company:
TSMG is an operations partner for AI, robotics, and autonomous programs. Founded in 2018, the company is headquartered in Warsaw, POL, with a team of 201-500 employees. The company is currently Growth Stage.