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Senior Data Annotation Analyst Jobs in Kansas (NOW HIRING)

Berkley

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 ...

Geico

Senior Workforce Analytics Analyst

Lenexa, KS · Hybrid

$80K - $124K/yr

Data Analysis & Insights: * As a Senior analyst, collect, process, and analyze contact center operational data to identify trends, patterns, and actionable insights that drive future proof ...

General Motors

Senior AI/ML Engineer

Topeka, KS · On-site +1

$98K - $135K/yr

Apply ML to labeling itself Collaborate with ML engineers to design and integrate ML-driven data annotation (pre-labeling, autolabeling, active learning loops), helping us move from human-only to ...

NinjaOne

Senior Data Software Engineer

Kansas, KS · On-site +1

$108K - $142K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join our team and ... Work closely with data scientists, analysts, and other teams to gather requirements, understand ...

Altasciences

Senior Lead Data Manager

Overland Park, KS · On-site +1

In addition, the Senior Data Manager has an active role in continuous improvement and acts as a ... collection and analysis required per protocol. * Take responsibility for and guide effective ...

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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 job categories do people searching Senior Data Annotation Analyst jobs in Kansas look for? The top searched job categories for Senior Data Annotation Analyst jobs in Kansas 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:
Senior Data Annotation Analyst jobs near you
Senior Data Engineer

Senior Data Engineer

Berkley

Overland Park, KS

$100K - $136K/yr

Other

Posted 15 days ago

Job description

Company Details

Intrepid Direct Insurance (IDI) is a rapidly growing direct to consumer property and casualty insurance company. A member of the W. R. Berkley Corporation, a fortune 500 company, rated A+ (Superior) by A.M. Best, Intrepid Direct’s vision is to make life better for business. The insurance industry has not evolved with innovation like other major industries. We’re here to change that. We are making life better for our customers, shareholders, and our team members by leveraging data and technology as insurance experts for our targeted customers. You will be part of a highly collaborative team of talented and focused professionals. Join a group that enjoys working together, trusts each other, and takes pride in our hard-earned success.

https://intrepiddirect.com/

The Company is an equal employment opportunity employer.

Responsibilities

Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate, implement, and monitor the flowing through our organization. This opportunity will have a direct influence on how data is made available to our business units, as well as our customers. You’ll primarily be working with our operations and engineering teams to create and enhance data pipelines, conform and enrich data, and deliver information to business users. Learn the ins and outs of what we do so that you can focus on improving availability and quality of the data we use to service our customers.

Key functions include but are not limited to:

  • Assist with long-term strategic planning for modern data warehousing needs.
  • Contribute to data modeling exercises and the buildout of our data warehouse.
  • Monitor, support, and analyze existing pipelines and recommend performance and process improvements to address gaps in existing process.
  • Automate manual processes owned by data team.
  • Troubleshoot and remediate ingestion and reporting related issues.
  • Design and build new pipelines to ingest data from additional disparate sources.
  • Responsible for the accuracy and availability of data in our data warehouse.
  • Collaborate with a multi-disciplinary team to develop data-driven solutions that align with our business and technical needs.
  • Create and deploy reports as needed.
  • Assist with cataloging and classifying existing data sets.
  • Participate in peer reviews with emphasis on continuous improvement.
  • Respond to regulatory requests for information.
  • Assumes other tasks and duties as assigned by management.
  • Mentor team members and advise on best practices.
Qualifications
  • Bachelor’s degree in Mathematics, Statistics, Computer Science, or equivalent experience.
  • 6+ years of relevant data engineering experience.
  • Analytical thinker with experience working in a fast-paced, startup environment.
  • Technical expertise with Microsoft SQL Server.
  • Familiarity with ETL tools and concepts.
  • Hands-on experience with database design and data modeling, preferable experience with Data Vault methodology.
  • Experience supporting and troubleshooting SSIS packages.
  • Experience consuming event-based data through APIs or queues.
  • Experience in Agile software development.
  • Experience with insurance data highly desired.
  • Detail oriented, solid organizational, and problem-solving.
  • Strong written, visual, and verbal communication skills.
  • Team oriented with a strong willingness to serve others in an agile startup environment.
  • Flexible in assuming new responsibilities as they arise.
  • Experience with Power Bi desired.

This role is based in our Overland Park, KS office. It is a full-time, in-office role.

Additional Company Details We do not accept unsolicited resumes from third party recruiting agencies or firms. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Sponsorship Details Sponsorship not Offered for this Role

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