Nearshore AI Operations Specialist for AI Operations teams
Runs and monitors AI agents and copilots inside your daily workflows: prompts, evaluations, exceptions and adoption.
A nearshore ai operations specialist is a trained, English-fluent professional based in Latin America who works U.S. hours inside your tools. Kurios City recruits, trains and deploys them in about 21 days, at 30–60% lower cost than a U.S.-based hire — the range published for LatAm back-office operations, with free replacement if the person doesn't perform.
What this role owns
- Agent monitoring and exception handling
- Prompt and workflow documentation
- Evaluation sets and quality checks
- User support and adoption
- Vendor / model updates
Stack we train on
Cost comparison
- Salary$104,400
- Mandatory benefits & payroll taxes$29,725
- Social Security + Medicare, FUTA/SUTA, workers' comp, health insurance, 401(k), PTO
- Tools, management & recruiting$39,875
- AI licenceYou pay it
- If they don't work outYou start over
- One monthly fee$4,150
- Mandatory benefits & payroll taxes$0
- Handled in-country. None of it lands on your payroll.
- Recruiting, training, managementIncluded
- Claude or Codex licenceIncluded
- If they don't work outFree replacement
Example figures for a AI Operations Specialist. The U.S. side is fully loaded — what the role actually costs your company, not the salary line. Your real numbers come out of the first call.
| U.S. hire | Kurios nearshore | |
|---|---|---|
| Monthly cost | USD 12,000–17,000 | USD 3,500–4,800 |
| Time to fill | 45–90 days | 21 days |
| Training on your stack | Your team's time | Included |
| Replacement | New search | Free |
| Time-zone overlap | Full | Full (UTC−5 / −6) |
Ranges are indicative. Final figures are scoped per market, role and seniority.
What the first 90 days look like
Week 1–3
Inventories where your team actually loses hours. Not where you think — they sit with the people doing the work and count. The output is a ranked list with estimated hours recovered per fix.
Week 4–8
Ships the top two automations end to end, with documentation and a fallback for when they break. Nothing goes live without a manual path.
Month 3+
Owns the automation portfolio: what runs, what it saves, what broke this month. Most of the value is in the maintenance, which is the part nobody budgets for.
How to tell a good ai operations specialist from a cheap one
The failure mode is hiring an enthusiast who builds twelve impressive demos and maintains none of them. Six months later you have a graveyard of half-working automations that your team has quietly routed around. Ask what they built that is still running a year later, and who maintains it. A candidate who talks about monitoring and failure handling before they talk about models is the one to hire.
How this role is measured
Automations still running after six months. Everyone can ship a demo. The number that separates a real capability from a graveyard is how much of it survives the first year.
| What we track | Why it is the right number |
|---|---|
| Automations live and monitored | Not built: live, with alerting |
| Hours saved per month | Measured against the pre-automation baseline |
| Silent failures | Should be zero, because everything alerts |
| Documented handover readiness | Could a second person maintain this tomorrow? |
These are the numbers we report back to you, not internal vanity metrics. If one of them stops moving, that is the conversation to have in the weekly check-in.
Available now
No profile available right now — request the role and Kurios sources it in 7–10 days.
Frequently asked
Is this a developer?
Not necessarily. It's an operator who keeps AI systems honest and useful; Automation Engineer covers the build side.
What happens to the automations if the person leaves?
They stay in your accounts, documented, with the prompts and configuration in your repository. We build it that way deliberately. An automation that only one person understands is a liability, not an asset.
Do we need to buy AI licences separately?
No. A Claude or Codex seat is included in the monthly fee, along with the agent stack built for the role. If you need enterprise licensing for your whole team, that is a separate purchase and we will say so rather than bundling it invisibly.