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Senior Data Annotation Analyst Jobs in Kansas (NOW HIRING)

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Sr. Data Analyst (Looker)

Lenexa, KS · On-site

$80K - $100K/yr

The Senior Data Analyst serves as a trusted analytics partner to business leaders across the organization. This role is responsible for transforming data into actionable insights through reporting ...

Senior Data Engineer

Olathe, KS

$102K - $139K/yr

Senior Data Engineer We are seeking a full-time Senior Data Engineer at Garmin's U.S. headquarters ... analysis to initiatives * Researches new technologies and proposes cost effective solutions and ...

Senior Data Engineer

Overland Park, KS · On-site

$104K - $142K/yr

... a Senior Level Data Engineer to join their Data Services Team. The right candidate will utilize ... This role requires significant understanding of data mining and analytical techniques. An ideal ...

$152K - $205K/yr

As a Senior Data Scientist at Circle, you'll work closely with business partners to better ... We are a passionate team with a deeply analytical approach and your work will support our mission ...

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Senior Data Engineer

Olathe, KS · On-site

$100K - $136K/yr

Overview We are seeking a full-time Senior Data Engineer at Garmin's U.S. headquarters in the ... analysis to initiatives * Researches new technologies and proposes cost effective solutions and ...

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Senior Data Engineer

Overland Park, KS

$100K - $136K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

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Senior Data Annotation Analyst information

What are Senior Data Annotation Analysts?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

What are the key skills and qualifications needed to thrive as a Senior Data Annotation Analyst, and why are they important?

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a Senior Data Annotation Analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

What are the most commonly searched types of Data Annotation Analyst jobs in Kansas? The most popular types of Data Annotation Analyst jobs in Kansas are:
What are popular job titles related to Senior Data Annotation Analyst jobs in Kansas? For Senior Data Annotation Analyst jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Senior Data Annotation Analyst jobs? Cities in Kansas with the most Senior Data Annotation Analyst job openings:

AI/ML Data Contributor

TSMG

Wichita, KS

Part-time

Posted 18 days ago


Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

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
Requirements
  • 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)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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