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Data Annotation Services Jobs in Kansas (NOW HIRING)

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Job Type Full-time Description Propio Language Services is a provider of the highest quality ... The ideal candidate can build scalable data pipelines, design high-quality annotation and QA ...

AI Engineer

Leawood, KS

$111K - $133K/yr

Description Propio Language Services is a provider of the highest quality interpretation ... The ideal candidate can build scalable data pipelines, design high-quality annotation and QA ...

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Description: Propio Language Services is a provider of the highest quality interpretation ... The ideal candidate can build scalable data pipelines, design high-quality annotation and QA ...

As a leader in real-time interpretation and multilingual language services, we connect people with ... Experience with data labeling, annotation, or active learning workflows * Familiarity with real ...

As a leader in real-time interpretation and multilingual language services, we connect people with ... Experience with data labeling, annotation, or active learning workflows * Familiarity with real ...

Patient Access Representative

Topeka, KS

$16.25 - $20.75/hr

Maintain accurate accounts, i.e. required signatures, proper account annotation, current ... Excellent customer service skills and professional public presentation skills, including telephone ...

Patient Access Representative

Topeka, KS · On-site

$16.25 - $20.75/hr

Maintain accurate accounts, i.e. required signatures, proper account annotation, current ... Excellent customer service skills and professional public presentation skills, including telephone ...

Patient Access Representative

Topeka, KS

$16.25 - $20.75/hr

Maintain accurate accounts, i.e. required signatures, proper account annotation, current ... Excellent customer service skills and professional public presentation skills, including telephone ...

Patient Access Representative

Topeka, KS · On-site

$16.25 - $20.75/hr

Maintain accurate accounts, i.e. required signatures, proper account annotation, current ... Excellent customer service skills and professional public presentation skills, including telephone ...

Patient Access Representative

Topeka, KS

$16.25 - $20.75/hr

Maintain accurate accounts, i.e. required signatures, proper account annotation, current ... Excellent customer service skills and professional public presentation skills, including telephone ...

Patient Access Representative

Topeka, KS

$16.25 - $20.75/hr

Maintain accurate accounts, i.e. required signatures, proper account annotation, current ... Excellent customer service skills and professional public presentation skills, including telephone ...

Patient Access Representative

Topeka, KS · On-site

$16.25 - $20.75/hr

Maintain accurate accounts, i.e. required signatures, proper account annotation, current ... Excellent customer service skills and professional public presentation skills, including telephone ...

Patient Access Representative

Topeka, KS

$16.25 - $20.75/hr

Maintain accurate accounts, i.e. required signatures, proper account annotation, current ... Excellent customer service skills and professional public presentation skills, including telephone ...

Data Annotation Services information

What are the key skills and qualifications needed to thrive in Data Annotation Services, and why are they important?

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.
What cities in Kansas are hiring for Data Annotation Services jobs? Cities in Kansas with the most Data Annotation Services job openings:
Infographic showing various Data Annotation Services job openings in Kansas as of May 2026, with employment types broken down into 100% Full Time. Highlights an 77% In-person, and 23% Remote job distribution.
AI Engineer

$111K - $133K/yr

Full-time

Posted 7 days ago


Job description

Job Type
Full-time
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.
Requirements
  • 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.

Qualifications
  • 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.