Project Coordinator

Weekday AI; United States; On-site; USD 94,000 - 114,000; Full time

Job summary

Weekday AI is seeking a Project Coordinator to support AI research, training-data initiatives, and operational programs. You will coordinate between program leadership, research teams, and domain experts, ensuring workflows stay organized and on track.

The ideal candidate has 3+ years in project coordination, strong data-management and communication skills, and experience with AI/data initiatives within tech-driven organizations.

Qualifications

• Location in the United States is required.
• STEM background strongly preferred.
• 3+ years in project coordination or similar roles with cross-functional teams.

Responsibilities

• Serve as day-to-day contact for AI data and research projects, keeping workflows organized.
• Translate project requirements into guidelines and actionable instructions.
• Onboard and engage domain experts as projects scale.
• Participate in weekly business reviews, capture notes, and drive action items.
• Monitor quality, identify issues, and communicate findings to stakeholders.
• Document processes and refine project guidelines with teams.
• Identify risks and bottlenecks and coordinate resolution.
• Track milestones and metrics using Google Sheets and Excel.
• Maintain accurate project documentation and follow up across teams.
• Adapt processes as project requirements evolve.

Skills

Strong communication

Organizational skills

Analytical thinking

Problem solving

Independent work

Education

STEM background

Tools

Excel

SQL

Job description

This role is for one of our clients

Compensation: $45-$55 per hour

Join a leading AI lab's cutting-edge GenAI team and contribute to the development of advanced AI systems. We are seeking an organized and proactive Project Coordinator to support AI research, training-data initiatives, and operational programs. In this role, you will serve as an important coordination point between program leadership, research teams, and a growing network of domain experts.

The ideal candidate is comfortable managing multiple priorities, coordinating cross-functional teams, maintaining project documentation, and adapting quickly in a fast-paced AI environment.

Key Responsibilities

• Serve as the day-to-day point of contact for AI data and research projects, ensuring workflows remain organized and on track.
• Partner with program leads and subject-matter experts to translate project requirements into clear guidelines and actionable instructions.
• Support the onboarding, coordination, and ongoing engagement of domain experts as projects scale.
• Participate in weekly business reviews, maintain meeting notes and action items, and facilitate project calls when required.
• Monitor project quality, identify recurring issues, investigate root causes, and communicate findings to relevant stakeholders.
• Assist research and product teams in developing, documenting, and refining project processes and guidelines.
• Identify potential risks, dependencies, and bottlenecks early and coordinate with stakeholders to resolve them.
• Track project milestones, deliverables, and operational metrics using tools such as Google Sheets and Microsoft Excel.
• Maintain accurate project documentation and ensure timely follow-up across teams.
• Adapt processes and priorities as project requirements evolve.

Qualifications

• Location: Must be based in the United States.
• Education: STEM background strongly preferred.
• Experience: 3+ years of experience in project coordination, project management, program operations, or a similar role involving cross-functional collaboration.
• Experience coordinating large teams or complex, multi-stakeholder projects.
• Hands-on exposure to AI training-data, human-data, machine learning, or AI research projects is highly desirable.
• Experience working as a Project Coordinator, Team Lead, EPM, Program Coordinator, or expert contributor on AI/data initiatives is a strong advantage.
• Experience supporting AI or data programs within technology-driven organizations is preferred.
• Strong data-management skills, including proficiency with Excel and SQL.
• Working knowledge of coding or technical concepts, with the ability to communicate effectively with technical teams.
• Strong organizational, analytical, and problem-solving abilities.
• Demonstrated ability to lead, coordinate, or manage large groups effectively.
• Excellent written and verbal communication skills.
• Ability to work independently, manage competing priorities, and operate effectively in a fast-changing environment.

Equal Employment Opportunity

We are committed to providing equal employment opportunities to all qualified applicants. We do not discriminate on the basis of any legally protected characteristic and provide reasonable accommodations upon request.