🕒 28 days ago
As an Applied Scientist intern, you will develop LLM-based Rider Agents and agent-based simulation systems to enhance product iteration and experimentation at Lyft.
AI/ML Data Contributor
📅 Apr 27
Data LabelingContent EvaluationUser TestingData Annotation
📜 Description
- Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
- 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)
- Previous experience in data annotation, QA, or testing
- Interest in AI, machine learning, or emerging technologies
- Participate in remote assignments or attend on-site sessions when required
✨ Benefits
- 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
Full job description
Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.
Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.
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
Nice to Have
What We Offer
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