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ChatGPT Jobs

AI/ML Data Contributor

ChatGPT Jobs · Greater Chicago Area

  • On site
  • Full-time
  • $50,000 / year
  • Greater Chicago Area

Job highlights

  • Contribute to AI/ML projects with data tasks.
  • Work remotely with flexible task-based hours.
  • Requires attention to detail and basic tech skills.
  • Opportunity to test cutting-edge technologies.
  • Gain experience in AI and machine learning.

About the role

AI/ML Data Contributor

Responsibilities

  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines

Requirements

  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)

Nice to Have

  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies

What We Offer

  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

Key skills/competency

  • AI/ML Data Contributor
  • Data Labeling
  • Data Annotation
  • Content Evaluation
  • Quality Assurance
  • Testing
  • AI
  • Machine Learning
  • Remote Work
  • Task-based Work

Skills & topics

  • AI
  • Machine Learning
  • Data Contributor
  • Data Labeling
  • Data Annotation
  • Content Evaluation
  • Quality Assurance
  • Remote Work
  • Task-based Work
  • United States

How to get hired

  • Tailor your resume: Highlight data annotation, QA, or AI/ML interest.
  • Showcase attention to detail: Provide examples of careful work.
  • Emphasize tech familiarity: List relevant digital tools and devices.
  • Confirm availability: Clearly state your ability for task-based work.
  • Express enthusiasm: Mention your interest in AI and emerging tech.

Technical preparation

Familiarize yourself with data labeling tools.,Practice annotation tasks for accuracy.,Test your internet and computer setup.,Understand basic AI/ML concepts.

Behavioral questions

How do you ensure accuracy in repetitive tasks?,Describe a time you followed complex instructions.,How do you manage your time for deadlines?,How do you provide constructive feedback?

Frequently asked questions

What is an AI/ML Data Contributor at ChatGPT Jobs?
An AI/ML Data Contributor at ChatGPT Jobs performs tasks like data labeling, annotation, and content evaluation to support AI and machine learning projects. This role often involves flexible, task-based work.
Is the AI/ML Data Contributor role remote?
Yes, the AI/ML Data Contributor position is primarily remote, based in Chicago, IL. However, there may be instances where on-site sessions are required.
What are the basic requirements for the AI/ML Data Contributor job?
Key requirements include being based in the United States, having strong attention to detail, basic computer skills, a reliable internet connection, and availability for task-based work.
What kind of projects will an AI/ML Data Contributor work on?
You will work on innovative AI/ML projects, potentially including exposure to cutting-edge technologies like device and VR testing.
Does ChatGPT Jobs offer ongoing work for Data Contributors?
Yes, there is potential for ongoing project participation for AI/ML Data Contributors who consistently deliver high-quality work.
What is the compensation for an AI/ML Data Contributor?
The AI/ML Data Contributor role offers paid, flexible task-based work, though specific hourly rates or per-task compensation are not detailed in the job description.
What experience is considered 'nice to have' for this role?
Previous experience in data annotation, quality assurance (QA), or testing is considered a plus, as is a genuine interest in AI, machine learning, or emerging technologies.