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Part Time Remote Data Labelling Jobs in Chicago, IL

Duravant

Student Intern

Downers Grove, IL · On-site +1

$20 - $25/hr

Conduct data mining and analysis on parts pricing and categorization data across multiple operating ... Location: Downers Grove, IL (Hybrid) or Remote * Department: Lifecycle Services (Aftermarket)

IQVIA

Clinical Trial Rater

Chicago, IL · Remote

Remote based in the US Hours: Approximately 5h per week Role: Clinical Specialist Start: immediate ... Our mission is to combine data science and human expertise to transform healthcare worldwide. We ...

Redwood Dental

Software Engineer

Chicago, IL · Remote

$45 - $55/hr

... data Ability to write basic database queries Strong ability to define problems, collect data ... One location/Remote Benefits: Paid time off This Job Is Ideal for Someone Who Is: People-oriented ...

Filevine

Legal Research - Internship

Chicago, IL · On-site +1

$20/hr

Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and ... Role Details * Role Details Position: Part-Time Legal Research Intern * Location: Nationwide ...

Rise25

Marketing Assistant

Chicago, IL · Remote

$40K - $51K/yr

This is a role that will initially start part time but could expand over time into more of a ... Compile and analyze data to provide insights that contribute to effective marketing strategies ...

Kaplan, Inc.

ACT Teacher - Chicago, IL

Chicago, IL · On-site +1

$30 - $40/hr

Use data to close the opportunity gap for underrepresented students * Continue to learn via world ... Enjoy a part-time teaching schedule that allows you to explore other professional interests

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All JobsData Labelling JobsPart Time Remote Data Labelling JobsPart Time Remote Data Labelling Jobs in Chicago, IL

Part Time Remote Data Labelling information

See Chicago, IL salary details

$47.4K

$170K

$250.8K

How much do part time remote data labelling jobs pay per year?

As of Aug 22, 2026, the average yearly pay for part time remote data labelling in Chicago, IL is $169,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $175,100.00 per year, depending on experience, location, and employer.

What is a part time remote data labelling job?

A part time remote data labelling job involves annotating or tagging data—such as images, text, or audio—from your own location, typically using specialized software provided by employers. The role is essential for training machine learning models, as accurate labels help computers learn to recognize patterns. These jobs are often flexible, allowing you to set your own hours and work from anywhere with an internet connection. No advanced technical skills are usually required, but attention to detail is important.

What are the key skills and qualifications needed to thrive as a part time remote data labelling specialist?

To excel as a Part Time Remote Data Labelling specialist, you need strong attention to detail, basic computer literacy, and a solid understanding of data privacy and handling protocols, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, spreadsheet software, and sometimes specific data labelling tools like Labelbox or Supervisely is typically required. Reliability, time management, and clear communication are crucial soft skills for meeting deadlines and collaborating in a remote setting. These skills and qualities ensure that labelled data is accurate, consistent, and valuable for training effective machine learning models.

What are some common challenges faced by part time remote data labelling professionals, and how can they be managed?

Part-time remote data labellers often face challenges such as maintaining consistent accuracy, staying focused during repetitive tasks, and managing communication with a distributed team. To address these, it’s helpful to establish a quiet, distraction-free workspace, use productivity techniques like the Pomodoro method, and regularly review labelling guidelines to minimize errors. Leveraging communication tools and participating in team check-ins can also help clarify questions and build a sense of connection with colleagues.

What is the difference between Part Time Remote Data Labelling vs Part Time Remote Data Annotation?

AspectPart Time Remote Data LabellingPart Time Remote Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Job FocusLabeling data for training AI modelsAnnotating data for AI training

Part Time Remote Data Labelling and Part Time Remote Data Annotation are similar roles involving preparing data for AI systems. Labelling typically involves categorizing data, while annotation may include adding detailed notes or markings. Both roles require attention to detail and are performed remotely, making them suitable for flexible schedules. The main difference lies in the specific tasks, but they are often used interchangeably depending on the employer or project.

What are the most commonly searched types of Remote Data Labelling jobs in Chicago, IL?

The most popular types of Remote Data Labelling jobs in Chicago, IL are:

What are popular job titles related to Part Time Remote Data Labelling jobs in Chicago, IL?

For Part Time Remote Data Labelling jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Data Labelling jobs in Chicago, IL look for?

The top searched job categories for Part Time Remote Data Labelling jobs in Chicago, IL are:

Part Time Remote Data Labelling jobs near you
Infographic showing various Part Time Remote Data Labelling job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $169,993 per year, or $81.7 per hour.

Student Intern

Duravant

Downers Grove, IL • On-site, Remote

$20 - $25/hr

Part-time, Internship

Re-posted 21 days ago

Job description

About Duravant:

Duravant is a global engineered equipment company with an over 100-year operating history.  Through our portfolio of operating companies, we deliver trusted end-to-end process solutions for customers and partners through engineering and integration expertise, project management and operational excellence.  With worldwide sales distribution and service networks we provide immediate and lifetime aftermarket support to all the markets we serve in the food processing, packaging and material handling sectors.  Duravant’s market-leading brands are synonymous with innovation, durability and reliability. 

About the Internship:

We are seeking two motivated interns to support our Parts Pricing team through advanced data mining and analysis. This internship offers a hands-on opportunity to work across multiple operating companies, helping build a standardized, repeatable process for parts categorization and pricing analysis. Interns will collaborate closely with cross-functional teams and leverage data analytics tools, including emerging AI capabilities, to drive insights and improve pricing strategies.

Key Responsibilities

  • Conduct data mining and analysis on parts pricing and categorization data across multiple operating companies
  • Collaborate with team members to develop a repeatable and scalable process for pricing analysis
  • Support the identification of trends, inconsistencies, and opportunities within parts pricing structures
  • Utilize AI tools and analytical techniques to enhance data insights and improve efficiency
  • Assist in building reports, dashboards, and presentations to communicate findings
  • Partner with cross-functional stakeholders to ensure alignment and data accuracy
  • Contribute to documentation of processes and best practices

Qualifications

  • Currently pursuing a degree in Statistics, Data Science, Analytics, Economics, or a related field
  • Junior and Senior level students preferred 
  • Strong interest in data mining, analytics, and AI applications
  • Experience with tools such as Excel, SQL, Python, R, or similar analytics platforms is preferred
  • Analytical mindset with strong problem-solving skills and attention to detail
  • Ability to work both independently and collaboratively across teams
  • Strong communication skills and the ability to translate data into actionable insights

What You’ll Gain

  • Hands-on experience in real-world pricing analytics and data strategy
  • Exposure to AI-driven analysis and business applications
  • Opportunity to work across multiple operating companies and build cross-functional collaboration skills
  • Development of technical, analytical, and business acumen
  • Mentorship and networking opportunities with experienced professionals
  • A chance to contribute to a high-impact, scalable business process

Additional Information:

  • This internship is designed to extend beyond the summer, with a preference for candidates who are available to continue working part-time during the academic school year
  • Flexible scheduling may be available to accommodate class commitments
  • Location: Downers Grove, IL (Hybrid) or Remote
  • Department: Lifecycle Services (Aftermarket)

*Sponsorship is not available for this position. 

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