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Annotation Labelling Jobs in Chicago, IL (NOW HIRING)

Welo Data

German Language Analyst - US-based

Chicago, IL · On-site

$26 - $28/hr

Strong written communication and language fundamentals * 1+ year in labeling/annotation/content -quality work, or a related Bachelor's degree * High attention to detail; comfort with structured ...

Arrive Logistics

Data Scientist II

Chicago, IL · On-site

Develop golden test datasets and define methodologies for creating and maintaining them over time, including designing annotation guidelines and ensuring label quality. * Evaluate and apply the ...

Arrive Logistics

Data Scientist II

Chicago, IL · On-site +1

Develop golden test datasets and define methodologies for creating and maintaining them over time, including designing annotation guidelines and ensuring label quality. * Evaluate and apply the ...

Vermillio

Product Manager

Chicago, IL · Remote

Design experiences for diverse personas: major media companies, record labels, talent agencies ... Architect how we transform large-scale data systems (annotation, content detection, attribution ...

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Annotation Labelling information

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What are the key skills and qualifications needed to thrive as an Annotation Labelling Specialist, and why are they important?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by Annotation Labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

What is the difference between Annotation Labelling vs Data Labeling Specialist?

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

What are popular job titles related to Annotation Labelling jobs in Chicago, IL? For Annotation Labelling jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Annotation Labelling jobs in Chicago, IL look for? The top searched job categories for Annotation Labelling jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Annotation Labelling jobs? Cities near Chicago, IL with the most Annotation Labelling job openings:
Annotation Labelling jobs near you
Portuguese (Portugal) Language Analyst - US-based

Portuguese (Portugal) Language Analyst - US-based

Welo Data

Chicago, IL • On-site

$26 - $28/hr

Full-time

Posted 6 days ago

Job description

Overview

Welo Data is hiring Portuguese (Portugal)-speaking analysts to support our Speech & Voice AI team. You’ll help build high-quality audio, speech, and language datasets that power production AI systems. 

Role details

  • Employment: W2, full-time (40 hrs/week)
  • Location: 100% onsite only; must commute to one of: NYC; Seattle/Bellevue/Redmond; SF Bay Area (San Francisco, Sunnyvale, Burlingame); Austin; Los Angeles; Washington DC; Chicago; Boston
  • Pay: $26–$28/hour, depending on location and experience
What you’ll do
  • Label and annotate speech/voice data (transcription, tagging, categorization)
  • Follow clear guidelines to ensure accuracy and consistency at scale
  • Maintain strong throughput while meeting quality targets
  • Escalate unclear cases and adapt to evolving instructions
  • Participate in team calibrations for quality alignment
What we’re looking for
  • Native-level fluency in Portuguese (Portugal) 
  • Strong written communication and language fundamentals
  • 1+ year in labeling/annotation/content-quality work, or a related Bachelor’s degree
  • High attention to detail; comfort with structured, repetitive workflows
  • US work authorization required (no visa sponsorship)
 
Benefits
  • Paid vacation: 6 days; Company holidays: 2 (Memorial Day, Labor Day); Sick leave per state law
  • Medical, dental, vision (eligibility applies); HSA; 401(k); EAP; additional voluntary benefits
  • Onsite perks where available: free meals, stocked micro-kitchens, commuter options, unique campus amenities

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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.