Project Coordinator

We are seeking a detail-oriented Project Coordinator to partner with our Project Managers to oversee our data labeling and generation projects. This person will serve as a welcoming, first point of contact with our labelers as they begin their projects and will continue to be their resource and advocate through the project. The ideal candidate will have experience in project management, with the ability to work independently to drive projects to successful completion. You will work closely with our team of Project Managers to ensure the project runs smoothly and efficiently, ultimately providing the highest quality data to our customers.

Employment Type: Project-based, paid hourly

Your Impact

• Manage Data Projects: Partner with a Project Manager to oversee data labeling and generation projects from initiation to completion, ensuring they meet our quality standards and deadlines.
• Delegate Tasks: Assign responsibilities to team members effectively, ensuring optimal utilization of resources.
• Community Management within Projects: Answer questions from team members regarding their projects in a thoughtful and timely manner.
• Monitor Progress: Track project milestones and deliverables, adjusting plans as necessary to meet objectives.
• Quality Assurance: Implement and maintain quality control procedures to ensure the accuracy and reliability of data outputs.
• Communication: Provide regular updates to stakeholders on project status, challenges, and achievements.

What You Bring

• Education: Bachelor’s degree (or equivalent experience) in Business Administration, Project Management, Computer Science, or a related field.
• Experience: Previous experience in project management, preferably in data labeling.
• Independence: Proven ability to work independently with minimal supervision.
• Communication Skills: Candidate must be fluent in English and possess excellent written and verbal communication skills.
• Organizational Skills: Strong ability to manage multiple tasks and deadlines simultaneously.

Bonus Points

• Experience in data annotation or working with machine learning datasets.