BI & Data Visualization Expert

BI and data visualization experts in Tableau, Power BI, and Looker to build the dashboard 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 BI and data visualization experts as contractors to author and grade the dashboard and reporting scenarios those evaluations run on. What you'll actually do • Author realistic BI scenarios, from data model through dashboard build and rollout • Write reference answers with the visualization and metric reasoning behind each decision • Grade model output for analytical accuracy and chart integrity • Flag dashboards that read polished but mislead the reader Who this is for • Analysts with at least 2 years of professional BI or analytics experience • Practitioners with hands on depth in at least one tool such as Tableau, Power BI, or Looker • Builders with strong SQL for validating the data behind their dashboards • Clear writers who can document the reasoning behind an analytical decision Contract and pay • $50 to $90/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/bi-data-visualization-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.