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Ai Data Developer Jobs in Kansas (NOW HIRING)

CrowdStrike

CrowdStrike is looking for a Principal Data Engineer with deep expertise in Large Language Models (LLMs) and AI platforms to join our growing Data Science Platform Engineering Team. You will be a key ...

Auvik Networks

You'll work alongside a Staff Data Engineer (who owns the data foundation) and report to the Engineering Manager. Your focus is on the application and agentic AI layer: designing, building, and ...

27Global

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

Integrate AI/ML models into production environments using tools such as AWS SageMaker, Azure Machine Learning, or Databricks. * Provide technical leadership and mentorship to junior data engineers ...

27Global

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

Integrate AI/ML models into production environments using tools such as AWS SageMaker, Azure Machine Learning, or Databricks. Provide technical leadership and mentorship to junior data engineers ...

27Global

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

Integrate AI/ML models into production environments using tools such as AWS SageMaker, Azure Machine Learning, or Databricks. Provide technical leadership and mentorship to junior data engineers ...

27Global

Data Engineer II

Leawood, KS · On-site

$111K - $133K/yr

We're looking for a Data Engineer II to join our team! You'll be responsible for contributing to ... Integrate AI/ML models into production environments using tools such as AWS SageMaker, Azure ...

27Global

Data Engineer II

Leawood, KS · Hybrid

$111K - $133K/yr

We're looking for a Data Engineer II to join our team! You'll be responsible for contributing to ... Integrate AI/ML models into production environments using tools such as AWS SageMaker, Azure ...

27Global

Data Engineer II

Leawood, KS · Hybrid

$111K - $133K/yr

We're looking for a Data Engineer II to join our team! You'll be responsible for contributing to ... Integrate AI/ML models into production environments using tools such as AWS SageMaker, Azure ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

The Data Engineer designs, builds, and supports scalable data products and platform capabilities ... AI / machine learning use cases. * Creates and maintains data models, lakehouse / warehouse ...

Global Partners

Senior Director, Data Engineering

Newton, KS

$93K - $126K/yr

This role drives the design and implementation of modern, AI-native data infrastructure that powers ... A passion for data quality, systems design, and developer experience, coupled with curiosity about ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

Support AI and machine learning initiatives through data preparation and feature engineering ... Evaluate future technologies and platforms, including Databricks, as potential components of the ...

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Ai Data Developer information

What is the difference between Ai Data Developer vs Data Scientist?

AspectAi Data DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI solutions into applicationsAnalyzes data, builds predictive models, interprets data trends
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and AI, Ai Data Developers focus on creating and deploying AI models within applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but differ mainly in their primary focus and application environment.

What are popular job titles related to Ai Data Developer jobs in Kansas? For Ai Data Developer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Ai Data Developer jobs in Kansas look for? The top searched job categories for Ai Data Developer jobs in Kansas are:
What cities in Kansas are hiring for Ai Data Developer jobs? Cities in Kansas with the most Ai Data Developer job openings:
Ai Data Developer jobs near you
Infographic showing various Ai Data Developer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Data Strategy Engineer / Applied Scientist, LLM Data

Propio

Overland Park, KS • On-site

Other

Re-posted yesterday

Propio rating

6.1

Company rating: 6.1 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

366th of 483 rated business services

Job description

Description

Propio Language Services is a provider of the highest quality interpretation, translation, and localization services. Our people take pride in every resource we offer, and our users always have access to cutting-edge technology, exceptional support, and collaborative user experiences. We are driven by our passion for innovation, growth, and bridging communication gaps in a diverse world. If you're passionate about delivering technology-driven solutions and building lasting client relationships while contributing to client growth, Propio could be the ideal place for you.


We are building AI-powered systems that enhance multilingual communication, improve interpreter workflows, and support next-generation AI applications across text, speech, and multimodal experiences.


Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI systems.


This is a hands-on technical role for someone who understands how to manage the full AI data lifecycle, from acquisition, curation, annotation, and quality control to evaluation datasets and post-training data, to directly improve model performance.


The ideal candidate can build scalable data pipelines, design high-quality annotation and QA processes, identify model failure modes, and close performance gaps through targeted data acquisition, curation, and synthetic data generation.


Key Responsibilities:

  • Define the end-to-end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low-resource languages, and agentic AI workflows.
  • Design and build dataset curation pipelines for training, post-training, and evaluation, including cleaning, deduplication, filtering, PII redaction, quality scoring, sampling, balancing, and versioning.
  • Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech, translation, and agentic AI data.
  • Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance gaps into targeted data improvements.
  • Support post-training data workflows such as SFT, instruction tuning, preference data, RLHF/DPO-style data, reward model data, and synthetic data generation.
  • Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows.


Requirements


  • Bachelor's degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience. 
  • 4+ years of experience in AI data, ML data operations, NLP data engineering, applied ML, speech/translation data, or LLM data workflows. 
  • Strong hands-on experience with Python, SQL, and dataset curation pipelines. 
  • Experience with annotation workflows, QA rubrics, evaluation datasets, or human-in-the-loop data processes. 
  • Familiarity with multilingual NLP, speech data, translation data, low-resource languages, conversational AI, or agentic AI datasets. 
  • Working knowledge of AWS data and ML tools such as S3, Glue, SageMaker, Bedrock, Lambda, Step Functions, EKS/ECS, IAM, or KMS. 
  • Strong communication skills and ability to work with ML engineers, applied scientists, product teams, linguists, data teams, and vendors. 

Preferred Qualifications

  • Master's or PhD in Computer Science, Machine Learning, NLP, Computational Linguistics, Data Science, Statistics, or a related field. 
  • Experience with LLM post-training workflows such as SFT, instruction tuning, preference data, RLHF, DPO, reward modeling, or evaluation data generation. 
  • Experience with synthetic data generation, active learning, weak supervision, LLM-as-judge workflows, or automated data quality scoring. 
  • Experience with modern annotation and data platforms such as Labelbox, Scale AI, Prodigy, Argilla, Snorkel, Humanloop, or custom internal tooling.  


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