This paper studies screening and recruiting policies that use pre-college academic achievement to restrict or incentivize entry to teacher-colleges. Using historical records of college entrance exam scores since 1967 and linking them to administrative data on the population of teachers in Chile, the paper first documents a robust positive and concave relationship between pre-college academic achievement and several short and long run measures of teacher productivity. We then evaluate the effectiveness of two policies that used pre-college achievement to recruit or screen out students entering teacher-colleges. Using a regression discontinuity design based on the government’s recruitment efforts, we evaluate the effective-ness of targeted scholarships at shifting career choices of high achieving students at the individual level as well as the effect on the overall stock of teachers predicted effectiveness. We then evaluate the effects of a recent screening policy that forces teacher colleges to exclude below-average students. We quantify the policies effectiveness by retroactively simulating the policy rule and evaluate its success at screening out low performing teachers and mistakenly high performing teachers. We compare this benchmark policy rule to a series of potential data-driven policy rules and we find that even simple screening policies can identify a significant portion of ex-post low performing teachers. In both policies studied, screening low performing students is more effective than targeting recruitment efforts to only very high achieving students. Taken together, these findings suggest that the combination of better administrative data and flexible prediction methods can be used to implement practical screening and recruiting policies in some contexts and allow for better targeting of investments in future teachers.