The work
You will create realistic empirical economics problems based on your research or analytics experience, then write complete reference answers that explain each analytical step. You will also review proposed approaches and identify mistakes in how they handle identification or modeling.
- Work may cover causal inference, panel data, choice models, and forecasting.
- Useful experience includes difference-in-differences, instrumental variables, regression discontinuity, synthetic control studies, or time-series forecasting.
Pay, schedule, and requirements
- Pay: $115 per hour, paid weekly via Stripe.
- Hours: 20+ hours per week. Work is flexible and asynchronous, with no fixed schedule or maximum weekly limit.
- Arrangement: Remote, part-time independent contractor work with ongoing assignments.
- Location: Open to candidates in Albania, Algeria, Antigua & Barbuda, Armenia, Australia, Austria, the Bahamas, Bahrain, Belgium, Benin, Bhutan, Bosnia & Herzegovina, Botswana, Brunei, Bulgaria, Canada, Costa Rica, Côte d’Ivoire, Croatia, Cyprus, Czechia, Denmark, Ecuador, El Salvador, Estonia, Ethiopia, Finland, France, the Gambia, Germany, Greece, Guatemala, Guyana, Hong Kong SAR China, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Jamaica, Jordan, Kenya, Kuwait, Latvia, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malaysia, Malta, Mauritius, Mexico, Moldova, Mongolia, Morocco, Mozambique, Namibia, the Netherlands, New Zealand, North Macedonia, Norway, Oman, Pakistan, Panama, Peru, the Philippines, Poland, Portugal, Qatar, Romania, Rwanda, Senegal, Serbia, Singapore, Slovakia, Slovenia, South Africa, Spain, Sri Lanka, St. Lucia, Sweden, Switzerland, Taiwan, Tanzania, Thailand, Trinidad & Tobago, Tunisia, Türkiye, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.
- Eligible countries continued: GT, GY, HK, HR, HU, ID, IE, IL, IN, IS, IT, JM, JO, KE, KW, LC, LI, LK, LT, LU, LV, MA, MD, MG, MK, MN, MT, MU, MX, MY, MZ, NA, NL, NO, NZ, OM, PA, PE, PH, PK, PL, PT, QA, RO, RS, RW, SE, SG, SI, SK, SN, SV, TH, TN, TR, TT, TW, TZ, US, UZ, VN, ZA.
- Education and experience: A master's or PhD in economics or a related quantitative social science, plus at least three years of full-time empirical research or analytics experience. Internships and school experience do not count toward the three years.
- Skills: Hands-on experience with causal inference or econometric modeling; working familiarity with Stata, R, or Python; and strong written English and clear analytical writing.
- No screen recording, keystroke monitoring, or idle timers.
How to apply
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work means creating and reviewing examples that help AI models learn and are used to evaluate their answers. Experts are valued for the subject knowledge and practical judgment needed to distinguish sound analysis from flawed reasoning.