
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.