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Audio Annotation Job Jobs in Chicago, IL (NOW HIRING)

Welo Data

Data Labeling Associate

Chicago, IL

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets. • Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A ...

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All JobsAudio Annotation Job JobsAudio Annotation Job Jobs in Chicago, IL

Audio Annotation Job information

See Chicago, IL salary details

$30.4K

$87K

$176.7K

How much do audio annotation job jobs pay per year?

As of Jul 18, 2026, the average yearly pay for audio annotation job in Chicago, IL is $87,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $116,400.00 per year, depending on experience, location, and employer.

What is the difference between Audio Annotation Job vs Data Labeling Specialist?

AspectAudio Annotation JobData Labeling Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, focused on audio dataRemote or office-based, focused on various data types
Industry UsageSpeech recognition, voice assistants, audio AIVarious AI applications, including images, text, and audio

Audio Annotation Jobs primarily involve labeling audio data for speech recognition and voice AI, requiring skills in listening and precise tagging. Data Labeling Specialists may work across multiple data types but share similar skills. While both roles involve data annotation, Audio Annotation Jobs focus specifically on audio content, making them distinct in industry applications and required skills.

How much do AI annotators make?

AI annotators, including those working on audio annotation jobs, typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform. Many roles are freelance or part-time, with some positions offering higher pay for specialized skills or certifications in data labeling tools.

What is an audio annotation job?

An audio annotation job involves listening to audio recordings and labeling or transcribing specific elements such as speech, sounds, 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 is the salary of audio annotation?

The salary for an audio annotation job typically ranges from $10 to $20 per hour, depending on experience, location, and the company. Many positions are freelance or part-time, often requiring attention to detail and familiarity with annotation tools.

How to become an annotator?

To become an audio annotation job worker, you typically need good listening skills, attention to detail, and basic computer proficiency. Many employers require completing a training or qualification test, and familiarity with annotation tools or software is often helpful. No formal degree is usually necessary, but some roles may prefer prior experience in data labeling or related tasks.
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What cities near Chicago, IL are hiring for Audio Annotation Job jobs? Cities near Chicago, IL with the most Audio Annotation Job job openings:
Audio Annotation Job jobs near you
Croatian Speech & Voice AI Analyst

Croatian Speech & Voice AI Analyst

Welo Data

Chicago, IL • On-site

Full-time

Posted 17 hours ago

Job description

Job Summary:
Welo Data is looking for detail-oriented individuals to join their team as Croatian Speech & Voice AI Analysts, supporting speech and voice AI systems. The role focuses on executing high-volume data labeling and annotation tasks, ensuring accuracy and consistency in datasets that power AI systems.
Responsibilities:
• Execute high-volume data labeling and annotation tasks across speech and voice datasets
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
• Work with audio and language data, including transcription, categorization, and tagging
• Maintain strong throughput while meeting quality expectations
• Escalate unclear or ambiguous cases appropriately
• Adapt to evolving guidelines and workflows as systems and requirements change
• Support baseline data production needs for AI training pipelines
• Contribute to team calibrations and quality alignment sessions
Qualifications:
Required:
• Native-level fluency in Croatian
• Strong written communication skills and language fundamentals
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
• Ability to follow detailed instructions and apply guidelines consistently
• High attention to detail and ability to maintain accuracy in repetitive tasks
• Comfort working in structured, process-driven environments
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escalate when needed
Preferred:
• Basic familiarity with AI, speech technology, or language data is a plus
Company:
With 27+ years of experience, Welo Data is the human-centered infrastructure for globally effective AI. Founded in , the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.

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