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Audio Annotation Jobs in Kansas (NOW HIRING)

... transform clinical audio and conversation into accurate, structured, and clinically useful ... accuracy metrics, human review, annotation, error analysis). • Experience with ambient ...

Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to ... Experience working with unstructured data (text, images, audio, etc.) * Familiarity with data ...

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to ... Experience working with unstructured data (text, images, audio, etc.) * Familiarity with data ...

New

Apply foundational and large language models to transform clinical audio and conversation into ... accuracy metrics, human review, annotation, error analysis). * Experience with ambient ...

Apply foundational and large language models to transform clinical audio and conversation into ... accuracy metrics, human review, annotation, error analysis). * Experience with ambient ...

Audio Annotation information

What are the key skills and qualifications needed to thrive as an audio annotator, and why are they important?

To thrive as an Audio Annotator, you need strong attention to detail, excellent listening skills, and familiarity with linguistic concepts, often supported by relevant coursework or experience in linguistics or audio processing. Proficiency in annotation tools such as ELAN, Audacity, or Praat, as well as experience with data labeling platforms, is typically required. Strong organizational skills, patience, and the ability to work independently make someone stand out in this role. These skills ensure accurate and consistent audio data labeling, which is essential for training reliable AI and speech recognition systems.

What are some common challenges faced by audio annotators, and how can they be managed effectively?

Audio annotators often encounter challenges such as distinguishing overlapping voices, dealing with low-quality recordings, and maintaining consistency in labeling. To manage these, it's important to use high-quality headphones, familiarize yourself with annotation guidelines, and communicate regularly with your team to resolve ambiguities. Many organizations also provide regular feedback sessions and quality checks to ensure accuracy and support continuous improvement.

What is audio annotation?

Audio annotation is the process of labeling or tagging audio data with relevant information, such as identifying sounds, speech, speakers, or background noises. This process helps train machine learning models to recognize and understand audio content. Audio annotation can involve tasks like transcribing speech, marking segments with specific sounds, or categorizing audio clips by genre or emotion. It is widely used in developing applications for speech recognition, virtual assistants, and audio analysis.
What are popular job titles related to Audio Annotation jobs in Kansas? For Audio Annotation jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Audio Annotation jobs? Cities in Kansas with the most Audio Annotation job openings:
Infographic showing various Audio Annotation job openings in Kansas as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 33% In-person, and 67% Remote job distribution.

Data Scientist

WellSky

Overland Park, KS • On-site

Full-time

Re-posted 7 days ago


WellSky rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

177th of 242 rated software companies


Job description

Job Summary:
WellSky is where independent thinking and collaboration come together to create an authentic culture. The Data Scientist role focuses on turning clinical conversations into accurate, useful documentation, emphasizing model evaluation and workflow engineering to ensure reliable solutions.
Responsibilities:
• Partner with the product team in an exploratory, iterative fashion to design and prototype an ambient listening and documentation solution for the Home Infusion and Ambulatory Infusion space.
• Apply foundational and large language models to transform clinical audio and conversation into accurate, structured, and clinically useful documentation.
• Design, build, and refine the agentic harness (prompts, workflows, tool orchestration, and guardrails) that drives reliable ambient documentation.
• Develop rigorous evaluation frameworks to measure documentation accuracy, completeness, and clinical soundness, including gold-standard datasets, human review, error-mode analysis, and ongoing quality monitoring.
• Rapidly prototype and test approaches, using evaluation results to guide iteration and inform product direction.
• Collaborate with product, engineering, and clinical stakeholders to translate exploratory findings into production-ready capabilities.
• Contribute to responsible AI practices, including appropriate handling of sensitive healthcare data and attention to safety in clinical documentation.
• Perform other job duties as assigned.
Qualifications:
Required:
• Bachelor's degree in a related field or equivalent work experience
• 2 - 4 years related work experience
Preferred:
• Healthcare industry experience, especially with healthcare data.
• Experience applying large language models or foundational models to speech, conversation, or documentation tasks.
• Experience with cloud technologies, including modern API orchestrators
• Experience designing evaluation methodologies for AI/ML or LLM systems (accuracy metrics, human review, annotation, error analysis).
• Experience with ambient documentation, speech-to-text, or clinical documentation workflows.
• Familiarity with infusion, home health, or ambulatory clinical workflows.
• Experience building agentic workflows, prompt engineering, or tool-orchestrated LLM applications.
• Proficiency in Python, and experience prototyping and iterating quickly alongside a product team.
Company:
WellSky delivers software and services to transform an ever-growing range of care services worldwide. Founded in 1980, the company is headquartered in Overland Park, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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