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Internship Remote Data Labelling Jobs in Illinois

Data & Deal Flow Management: Help track deal flow and maintain accurate records in CRM databases ... Remote work options for certain positions * Potential to earn up to $950 in wellness incentives

Student Intern

Downers Grove, IL · On-site +1

$20 - $25/hr

Interns will collaborate closely with cross-functional teams and leverage data analytics tools ... Location: Downers Grove, IL (Hybrid) or Remote * Department: Lifecycle Services (Aftermarket)

Evans Scholars

Chicago, IL · On-site +1

$15.50 - $20/hr

Interns will work with engineers, architects, geologists, and other scientists on a variety of ... We are also open to remote working from anywhere across the US. We have a very comfortable and ...

Provider Services Representative

Chicago, IL · On-site +1

$41K - $56K/yr

Requires the data entry of updates to internal provider systems with a 95% or greater accuracy rate ... Remote - candidates must have their own equipment. VIVA is an equal opportunity employer. All ...

Senior Go Software Engineer

Chicago, IL · On-site +1

$80 - $100/hr

Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...

Financial Analyst

Ohio, IL · Remote

$60K - $70K/yr

This role is fully remote within the United States. Essential Job Functions and Responsibilities ... Collaborates with bank clients to gather required data and inputs for analysis. Builds, updates ...

Analyze technical data, test results, and field feedback to provide sound engineering ... Work Environment This role is based onsite in Mossville with limited flexibility for remote work.

Remote * Position status: Full Time * FLSA status: Non-Exempt (Hourly) * Scheduled hours: 8:00- 4 ... Characteristics - Responsive, efficient, results orientated, data and deadline driven, problem ...

New

Remote * Position status: Full Time * FLSA status: Non-Exempt (hourly) * Scheduled hours: 8:00- 4 ... Characteristics - Responsive, efficient, results orientated, data and deadline driven, problem ...

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Internship Remote Data Labelling information

What are the key skills and qualifications needed to thrive as an Internship Remote Data Labelling professional, and why are they important?

To excel as an Internship Remote Data Labelling professional, you need strong attention to detail, basic computer literacy, and familiarity with data annotation processes, often requiring at least a high school diploma or equivalent. Experience with data labelling platforms such as Labelbox or Supervisely, and understanding file formats like CSV or JSON, are commonly expected. Reliability, time management, and effective communication are important soft skills for remote collaboration and meeting deadlines. These competencies ensure high-quality, consistent data labelling that supports accurate machine learning model development.

What is the difference between Internship Remote Data Labelling vs Data Annotation Specialist?

AspectInternship Remote Data LabellingData Annotation Specialist
CredentialsTypically students or entry-level with basic computer skillsOften requires experience or training in data annotation tools
Work EnvironmentRemote, flexible hours, internship settingRemote or on-site, professional setting
Employer & IndustryTech companies, AI startups, research projectsAI, machine learning, data services companies
Search & Comparison IntentLearning opportunity, entry-level roleProfessional data labeling work, career development

Internship Remote Data Labelling typically involves entry-level, temporary roles focused on training and learning, often suitable for students. Data Annotation Specialists are more experienced professionals performing detailed labeling tasks for ongoing projects. While both roles involve data labeling, the internship emphasizes skill development, whereas the specialist role centers on professional expertise.

What are some typical challenges faced by remote data labelling interns, and how can they be addressed?

Remote data labelling interns often encounter challenges such as managing repetitive tasks, maintaining high accuracy, and communicating effectively with team members across different time zones. To address these, it's helpful to establish a structured daily routine, regularly review quality guidelines, and use collaboration tools like Slack or Teams to stay connected. Seeking timely feedback from supervisors and participating in virtual team check-ins can also improve both efficiency and data consistency.

What is an Internship Remote Data Labelling job?

An Internship Remote Data Labelling job involves reviewing and tagging data—such as images, text, or audio—from a remote location to help train machine learning algorithms. Interns in this role classify, annotate, or categorize raw data according to specific guidelines provided by the employer or project. This work is crucial for improving the accuracy of AI models, as properly labeled data enables better learning outcomes. Remote data labelling internships are ideal for students or recent graduates looking to gain experience in AI, data science, or related fields while working from anywhere.
What are the most commonly searched types of Remote Data Labelling jobs in Illinois? The most popular types of Remote Data Labelling jobs in Illinois are:
What job categories do people searching Internship Remote Data Labelling jobs in Illinois look for? The top searched job categories for Internship Remote Data Labelling jobs in Illinois are:
What cities in Illinois are hiring for Internship Remote Data Labelling jobs? Cities in Illinois with the most Internship Remote Data Labelling job openings:

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Chicago, IL • Remote

$20/hr

Contractor

Re-posted 5 days ago


Job description

As an AI Training Specialist (Data Annotation), you'll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We're looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology