Project Manager Expert

Project managers to build the planning and delivery scenarios frontier AI labs use to test model judgment. AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We're hiring project managers as contractors to author and grade the planning and delivery scenarios those evaluations run on. What you'll actually do Author realistic project scenarios, from kickoff through delivery and retrospectives Write reference answers with the planning and prioritization reasoning behind each decision Grade model output for realism, completeness, and stakeholder awareness Flag plans that read polished but would fail in real delivery Who this is for Project managers with at least 2 years running projects with real scope, budgets, and stakeholders Practitioners who have owned full project lifecycles from kickoff through delivery Managers with depth in planning, risk management, and stakeholder communication Clear writers who can document the reasoning behind a project decision Contract and pay $80 to $125/hr , paid weekly via Stripe. Your rate is set from your experience, not negotiated down after you start. Fully remote, fully async. No fixed hours. Minimum 10 hours per week, no maximum. Scale up or down week to week. No screen recording, no keystroke monitoring, no idle timers. Independent contractor. Ongoing project work rather than single task batches. How our hiring process works Apply at /apply/project-manager-expert. About five minutes. Resume plus a few structured questions. Resume review. Every application gets read against a published rubric and gets a decision. Written assessment. You may be asked to take a written assessment for further placement. Onboarding. Sign the contractor agreement, connect Stripe, and get platform access. Project match. You're matched to live work in your specialty, usually within a week of onboarding. About AfterQuery AfterQuery is an expert data lab. We build the evaluation and training data that frontier AI labs use to measure what their models can and can't do in real professional work. Our contributors are practicing professionals, not annotators, and the work is credited, reviewed, and paid at professional rates.