Procurement Manager

Share practical operations knowledge

You'll help AI research reflect the real decisions and workflows involved in procurement, contract management and construction sourcing. This is a project-based contribution, not a conventional management position, and can run alongside your existing work.

• Develop expert training questions and scenarios grounded in actual professional workflows.
• Assess AI responses for factual accuracy and relevance to the way the work is performed.
• Provide organized written feedback that explains what needs to improve in the model's response.
• Complete assignments at your own pace without a fixed schedule or minimum hourly commitment.

Experience and tools

At least five years of professional experience in procurement, contract management and construction sourcing is required. Relevant backgrounds include Spend Analyst, Procurement Analytics Manager, Contracts Administrator, Contract Manager, Construction Procurement Manager, Preconstruction Manager, Bid Coordinator or Estimator.

Your experience should include these practical workflows: Analyze spend, track savings, administer contracts and manage construction bids. The work also calls for familiarity with DocuSign, BuildingConnected, Sievo, Snowflake or comparable procurement and contract management tools.

Clear written communication and careful attention to detail are important because the contribution centers on useful training material and feedback. You should be comfortable handling assignments independently in a remote, asynchronous environment.

Pay and participation

Project rates may reach $80 per hour. This is ongoing, part-time contract work supporting AI research, rather than a traditional staff role.

The remote format and flexible hours allow you to contribute alongside other work. Your professional judgment will inform questions, scenarios and assessments grounded in actual operations rather than purely theoretical examples.

Participation starts with account registration, identity verification and onboarding to a relevant project before paid work begins.