AI Project Coordinator - Data & Research Ops

Weekday 1; United States; On-site; USD 62,000 - 76,000; Full time

Job summary

Weekday 1 is seeking a Project Coordinator to support an AI research and data initiatives team in the United States. You will coordinate data-driven projects, translate requirements into actionable tasks, and help scale a network of domain experts.

The role requires organizing multiple priorities, managing documentation, and communicating effectively with program leadership and research teams in a fast-paced AI environment.

Qualifications

• Location: United States-based.
• STEM background strongly preferred.
• 3+ years of experience in project coordination or related roles.
• Experience coordinating large teams or multi-stakeholder projects.
• Hands-on exposure to AI training-data, human-data, ML, or AI research projects desirable.
• Experience in AI or data initiatives within tech organizations is a plus.
• Strong data-management skills with Excel and SQL.
• Effective communication with technical teams and cross-functional groups.

Responsibilities

• Serve as day-to-day contact for AI data and research projects, keeping workflows organized.
• Translate project requirements into clear guidelines and actionable instructions.
• Onboard and engage domain experts as projects scale.
• Participate in weekly reviews, maintain notes and action items, and facilitate calls.
• Monitor quality, identify issues, and communicate findings to stakeholders.
• Develop and refine project processes and guidelines with research/product teams.
• Identify risks and bottlenecks and coordinate with stakeholders to resolve them.
• Track milestones, deliverables, and metrics using Sheets and Excel.
• Maintain accurate documentation and ensure timely follow-up across teams.

Skills

Excel

SQL

Education

STEM background

Tools

Google Sheets

Job description

Weekday 1 is seeking a Project Coordinator to support an AI research and data initiatives team in the United States. You will coordinate data-driven projects, translate requirements into actionable tasks, and help scale a network of domain experts.

The role requires organizing multiple priorities, managing documentation, and communicating effectively with program leadership and research teams in a fast-paced AI environment.