Data Scientist
Overland Park, KS · On-site
... transform clinical audio and conversation into accurate, structured, and clinically useful ... accuracy metrics, human review, annotation, error analysis). • Experience with ambient ...
Data Scientist
Overland Park, KS · On-site
... transform clinical audio and conversation into accurate, structured, and clinically useful ... accuracy metrics, human review, annotation, error analysis). • Experience with ambient ...
Data Scientist
Overland Park, KS · On-site
Apply foundational and large language models to transform clinical audio and conversation into ... accuracy metrics, human review, annotation, error analysis). * Experience with ambient ...
Data Scientist
Overland Park, KS · On-site
Apply foundational and large language models to transform clinical audio and conversation into ... accuracy metrics, human review, annotation, error analysis). * Experience with ambient ...
Data Scientist
$2.5K/yr
Apply foundational and large language models to transform clinical audio and conversation into ... accuracy metrics, human review, annotation, error analysis). * Experience with ambient ...
Data Scientist
$2.5K/yr
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 jobs make $3,000 a month without a degree?
Audio annotation jobs can pay around $3,000 per month for experienced workers, especially those working full-time or on high-volume projects. These roles typically require strong attention to detail, familiarity with audio editing tools, and the ability to work independently, often without formal degrees. Compensation varies based on experience, workload, and the platform or employer.
What is the salary of audio annotation?
The salary for audio annotation jobs typically ranges from $10 to $20 per hour, depending on experience, location, and the complexity of the tasks. Many positions are freelance or part-time, often requiring basic computer skills and attention to detail.
How to become an AI annotator?
To become an AI annotator, you typically need strong attention to detail, good listening skills, and basic computer proficiency. Many roles require familiarity with annotation tools and sometimes a high school diploma or equivalent. Gaining experience through online training or tutorials can improve your chances of securing a position in this field.
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 is an audio annotation job?
An audio annotation job involves listening to audio recordings and labeling or transcribing specific sounds, speech, or events to create datasets used for training machine learning models. Workers typically use specialized tools and need good listening skills, attention to detail, and sometimes basic knowledge of audio editing or annotation software.
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 job categories do people searching Audio Annotation jobs in Kansas look for? The top searched job categories for Audio Annotation jobs in Kansas are:
What cities in Kansas are hiring for Audio Annotation jobs? Cities in Kansas with the most Audio Annotation job openings:
WellSky rating
7.5
Based on 9 frontline employees who took The Breakroom Quiz
135th of 209 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.
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.
About WellSky
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
Overland Park, KS, US
Year founded
1980