Supply Chain & Logistics Specialist
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| Company Name | Mercor |
| Company Type | Private |
| Job Type | Part-Time |
| Salary Range | $20.00 |
| Location | United Arab Emirates |
| Qualifications | None / No Formal Education |
| Experience | No Experience / Fresh |
Job Overview
Mercor is seeking a Part-time Supply Chain & Logistics Specialist to join their team in the United Arab Emirates. This role involves leveraging human expertise in conjunction with leading AI labs and enterprises to support the training of frontier models within the critical domain of supply chain and logistics.
Company Overview
Mercor is an innovative private company operating at the intersection of labor markets and advanced AI research. They specialize in connecting human expertise with leading AI laboratories and enterprises to facilitate the training of cutting-edge AI models, contributing significantly to the development of frontier technology.
Quick Details
- Salary: $20.00
- Job Type: Part-time
- Qualifications: None / Open to all applicants
- Experience: No Experience / Fresh
Key Responsibilities
- Contribute to the optimization of supply chain and logistics processes.
- Utilize human expertise to support AI model training initiatives.
- Collaborate with leading AI labs and enterprises on projects.
- Assist in research-oriented tasks related to labor markets and AI.
- Ensure the efficient flow of resources for frontier model development.
- Participate in data collection and analysis relevant to supply chain operations.
Requirements
- Ability to work part-time in the United Arab Emirates.
- Strong interest in the intersection of labor markets and AI research.
- Excellent organizational and problem-solving skills.
- Effective communication and collaboration abilities.
- Adaptability to a fast-paced and innovative work environment.
- Basic understanding of supply chain principles is a plus.
Benefits
- Opportunity to work at the cutting edge of AI research and labor markets.
- Gain valuable experience with leading AI technologies and enterprises.
- Flexible part-time work schedule.
- Be part of a collaborative and innovative team environment.
- Direct contribution to the development of frontier AI models.
- Exposure to diverse projects in a global setting.