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From AI Shortlist to Signed Contract: Hiring Candidates in Another Country

HR Tech

4 minutes

November 12, 2026

Written by Hirex

AI has changed what a shortlist looks like. Matching and screening tools don't care where a candidate lives, so a search for a senior data engineer can surface three strong people in three countries before a recruiter has finished their coffee. Hirex's own guide to AI in recruiting makes the point that the technology handles volume and consistency while recruiters handle judgement. One judgement call now comes up far more often than it used to: we've found the right person, so how do we employ them?

The bottleneck has moved

For years the slow part of hiring was finding people. Now it's often everything after the offer. A recruiter can screen hundreds of applications in an afternoon, then wait three weeks while finance, legal and HR work out whether the company can legally pay someone in another country. Candidates notice. The strongest ones usually have more than one offer, and a vague answer about start dates and contracts is a common reason they accept the other one.

Regulation is adding pressure from the other side. Rules such as New York City's Local Law 144 and the EU AI Act, which treats AI used in hiring as high-risk, mean the screening step itself needs documentation and human oversight. Companies that have got serious about compliant screening are finding they need the same discipline for compliant employment.

Why so many US shortlists now include Colombia

For US companies, one country keeps appearing at the top of AI-generated shortlists: Colombia. Bogotá and Medellín have deep pools of English-speaking engineers, designers and customer success professionals, they share time zones with the US East Coast and Central time, and salaries are well below US levels for comparable experience. For a team that works in real time, that combination is hard to beat, which is why nearshoring to Colombia has grown so quickly.

Hiring there properly takes more than a contractor agreement, though. Colombian law treats someone who works full time, under your direction and on your schedule as an employee, and contractor arrangements that look like jobs can be reclassified, with back payments of social security and benefits. Employment also comes with obligations US teams rarely expect: employer contributions to pension, health insurance and occupational risk cover, levies for the national training service and family welfare, and the prima de servicios, an extra month of salary each year paid in two instalments in June and December, on top of annual severance savings known as cesantías.

Most US companies don't want a Colombian subsidiary for a handful of hires. Instead they work with providers that employ staff in Colombia on a foreign company's behalf, which put the person on a compliant local contract, run Colombian payroll and handle the contributions, while the US team manages the day-to-day work. It turns a months-long legal project into something a hiring team can arrange within the candidate's notice period.

When the hire is in the US

The domestic side has its own version of the problem. A US company can employ people directly, but once a team grows past a handful of hires, payroll, benefits and state registrations become a part-time job for someone who was hired to do something else. Many smaller companies hand that work to a professional employer organisation, which co-employs staff and buys benefits across thousands of client companies.

Build employment into the hiring workflow

The practical fix is to decide the employment route before the role goes live, not after the shortlist arrives. Add a field to every requisition for where the person may be located and how they would be employed: directly, through a PEO, or through a provider abroad. Share the answer with candidates early. It sounds administrative, but it removes the most common reason good offers stall.

AI has made the talent pool bigger than most companies' employment setup. Teams that plan for that, as part of a broader approach to AI in talent acquisition, will close the candidates their tools find. The rest will keep finding great people they can't hire in time.