Data & Charts Expert

**Pay:** $25-$50 per hour (USD). **Role Title:** Data & Charts Expert **Role Type:** Contractor **Location:** Remote, global #### **Opportunity Snapshot** **Pay:** **$25-50/hour** **Weekly commitment:** Flexible — work on your own schedule **Location:** Fully remote, global **Your tasks:** Pick charts from your field, write questions about them, and explain the right answer micro1 is looking for people who read charts for a living. Your job is to turn them into questions that test whether an AI can actually interpret data — and then explain the correct answer step by step. If you work with graphs, plots, or dashboards in your field, you already have what this needs. No AI experience required. **We’re especially interested in people from:** Medicine & biostatistics · Finance & economics · Engineering & physics · Earth sciences & GIS · Data science & statistics · Operations & manufacturing **What you’ll do** 1. Choose charts from your own field — the kind you’d actually see in a paper, report, or dashboard. 2. Write questions that require real reasoning to answer: calculations, comparisons, reading a trend, combining two series. 3. Give the correct answer, and walk through how you got there. 4. Use the right terms for what you’re describing: axes, scales, units, legends, error bars, time periods. 5. Flag a chart or question that turns out to be ambiguous instead of submitting it anyway. **What we’re looking for** 1. Two or more years working with charts and quantitative data — professionally, academically, or in research. 2. A degree in a quantitative or technical field, or equivalent hands-on experience. 3. Comfortable with charts that have several data series, annotations, or statistical features. 4. Able to explain a calculation clearly in English, in writing. 5. Experience writing exam questions, assessments, or analytical exercises is a plus, but not required. **How the selection process works** 1. Apply and complete the screening questions 2. Complete the AI interview for this role — it’s how your expertise gets in front of the client 3. Profile review 4. Onboarding — our Talent Ops team will get you set up