Talent profiles · 28 candidatesHover to pause · click to open the profile
Natalia O.Appointment Setter B2B · Bogotá
EN C2
Felipe B.Appointment Setter B2B · Medellín
EN C1
Juan D.Appointment Setter B2B · Cali
EN C1
Johan S.Appointment Setter B2B · Bogotá
EN C1
Marco S.Appointment Setter · Barranquilla
EN B2
Daniel F.Appointment Setter · Medellín
EN B2
Rafael F.Appointment Setter · Bogotá
EN C1
Ricardo E.Appointment Setter · Cartagena
EN B2
Edwin A.Appointment Setter B2B · Bucaramanga
EN A2
Erika F.Appointment Setter B2B · Bogotá
EN A2
Gabriel O.Appointment Setter B2B · Pereira
EN A2
Juvani A.Solar Sales Representative · Bogotá
EN C1
Camilo M.Solar Sales Support Specialist · Medellín
EN C1
David F.Solar Sales Support Specialist · Bogotá
EN B2
Camilo A.Solar Sales Support Specialist · Cali
EN B2
Andrea M.Logistics Coordinator & Operations · Barranquilla
EN C1
Luis F.Logistics Coordinator & Operations · Bogotá
EN B2
Adriana V.Logistics Coordinator & Operations · Cartagena
EN B2
Santiago A.Logistics Coordinator & Operations · Medellín
EN C1
Angel S.Logistics Coordinator & Operations · Bogotá
EN B2
Danna P.Project Manager · Bogotá
EN C1
Santiago J.Marketing Lead · Bogotá
EN C1
Iván M.Marketing Lead · Medellín
EN C1
Fredy G.Marketing Lead · Cali
EN B2
Ana M.Operations Assistant · Bogotá
EN B2
Giovanna C.Operations Assistant · Medellín
EN C1
Felipe A.Operations Assistant · Bogotá
EN B2
Sara T.Customer Support (EN-first) · Bogotá
EN C1
Natalia O.Appointment Setter B2B · Bogotá
EN C2
Felipe B.Appointment Setter B2B · Medellín
EN C1
Juan D.Appointment Setter B2B · Cali
EN C1
Johan S.Appointment Setter B2B · Bogotá
EN C1
Marco S.Appointment Setter · Barranquilla
EN B2
Daniel F.Appointment Setter · Medellín
EN B2
Rafael F.Appointment Setter · Bogotá
EN C1
Ricardo E.Appointment Setter · Cartagena
EN B2
Edwin A.Appointment Setter B2B · Bucaramanga
EN A2
Erika F.Appointment Setter B2B · Bogotá
EN A2
Gabriel O.Appointment Setter B2B · Pereira
EN A2
Juvani A.Solar Sales Representative · Bogotá
EN C1
Camilo M.Solar Sales Support Specialist · Medellín
EN C1
David F.Solar Sales Support Specialist · Bogotá
EN B2
Camilo A.Solar Sales Support Specialist · Cali
EN B2
Andrea M.Logistics Coordinator & Operations · Barranquilla
EN C1
Luis F.Logistics Coordinator & Operations · Bogotá
EN B2
Adriana V.Logistics Coordinator & Operations · Cartagena
EN B2
Santiago A.Logistics Coordinator & Operations · Medellín
EN C1
Angel S.Logistics Coordinator & Operations · Bogotá
EN B2
Danna P.Project Manager · Bogotá
EN C1
Santiago J.Marketing Lead · Bogotá
EN C1
Iván M.Marketing Lead · Medellín
EN C1
Fredy G.Marketing Lead · Cali
EN B2
Ana M.Operations Assistant · Bogotá
EN B2
Giovanna C.Operations Assistant · Medellín
EN C1
Felipe A.Operations Assistant · Bogotá
EN B2
Sara T.Customer Support (EN-first) · Bogotá
EN C1
Pricing, savings and referral amounts are illustrative estimates. Request a written quote and confirmed terms from Kurios.
Kurios City · The AI-equipped nearshore talent marketplace

Meet your next nearshore hire today.

Browse real profiles. Watch the interview each person recorded. Shortlist who you want. Nearshore LATAM for U.S. solar, storage, EPC and AI operations — and every profile ships with a Claude or Codex licence already paid for.

⚡ Licence includedClaude or Codex seat, the agent stack for the role and the automation architecture. USD 0 extra on your side.
▶ See them firstEvery profile carries a recorded interview and a verified CEFR level. You judge the person, not a résumé.
◷ Same working dayBogotá runs on New York time. No 10-hour handoff, no night shift, no waiting until tomorrow.
Browse the marketplace → 19 available now · 28 profiles

Try it: how much would you keep?

Pick the role you are thinking about hiring. We show what it costs in-house in the U.S., what the same role costs with Kurios, and what stays in your pocket. Example figures — your real numbers come out of the first call.

U.S. in-house, fully loaded
$90,000/yr
$7,500 per month
Base salary$54,000
Mandatory in the U.S. — you pay 0 of this with Kurios$19,182
Social Security + Medicare (7.65%)$4,131
FUTA + SUTA + workers' comp (~3.5%)$1,890
Health insurance, employer share$7,885
401(k) match (4%)$2,160
Paid time off (15 days accrued)$3,116
Tools, management & recruiting$16,818
Kurios, AI-equipped
$33,600/yr
$2,800 per month
Monthly fee, all-in$2,800
Claude or Codex licenceIncluded
Agent stack for the roleBuilt
Recruiting, training, payrollIncluded
Replacement if it failsIncluded
You keep
$56,400/yr
63% lower than hiring in the U.S.
Kurios is 37% of the U.S. cost
Over three years that is $169,200 — the difference between deferring a hire and building the team.
Qualifies inbound leads, follows up on quotes and books site assessments for solar installers and EPCs — on U.S. hours, inside your CRM.U.S. 6,500–8,500/mo fully loaded · Kurios 2,400–3,200/mo
Both figures include the AI licence. A Claude or Codex seat, the agent stack for the role and the automation architecture ship with the person — you are not adding $250–600 a month of AI tooling on top, and the architecture stays in your account if they ever leave.
What nobody else ships

Every profile arrives AI-equipped, licence included

Other nearshore firms send you a person and a résumé. Kurios sends a person who already works with agents — with the Claude or Codex seat paid for, the agent stack built, and the automation architecture documented. On day one they are not learning your tools; they are running workflows on them.

That is also why the filtering is different: candidates are screened on how they work with AI, not just on their CV. The ones who cannot, do not make the catalog.

INCLUDED IN THE MONTHLY FEE
Claude Pro or Codex seatIncluded
Agent stack for the roleBuilt & documented
Automation architectureYours to keep
AI-workflow screeningBefore the catalog
Extra licence cost to youUSD 0

Screened on how they use AI

Candidates run a live task with an agent during selection. We watch how they prompt, verify and catch a wrong answer — not whether they can name a model.

Trained on your stack, with agents in it

During onboarding we build the agents the role needs — research, drafting, triage, reporting — inside your tools, and document them.

The architecture stays with you

If the person leaves, the automations, prompts and playbooks remain in your account. You are buying capacity plus infrastructure, not a seat warmer.

Why teams do this

Three reasons U.S. energy and AI teams hire nearshore

Not the marketing version. The three things that actually change when a trained person on your clock joins the operation.

See the objections too
86%

Capacity you can actually get

The constraint in 2026 is not budget, it is people. 86% of U.S. solar employers report difficulty filling open positions, and 47% say hiring directors and supervisors is a significant hurdle. The industry is roughly 53,000 workers short of what the 2026 installation targets require. Kurios puts a trained person in the seat in 14–21 days; the U.S. average time to fill is 36–44 days, and 40–60 for technical roles.

U.S. Energy & Employment Report 2025 · IREC National Solar Jobs Census · 2026 U.S. time-to-hire benchmarks
$35–80k/yr per person

A cost structure that lets you add roles

A $130k base salary becomes $180k–210k in year one once you add payroll tax, benefits, 401(k), PTO and recruiting fees. The nearshore equivalent runs 40–65% below that, all-in — $35,000 to $80,000 saved per person per year. The point is not the discount: it is that the third coordinator, the second permitting engineer and the analyst you keep deferring all become affordable at once.

2026 LATAM nearshore cost breakdowns · fully-loaded U.S. cost 1.4–1.6× base
0 htime-zone gap

The same working day, not a handoff

When it is 9:00 AM in New York it is 9:00 AM in Bogotá — and 7:30 PM in India, 10:00 PM in the Philippines. That is the difference between a teammate who joins the 8:30 stand-up and answers the AHJ portal the same afternoon, and a ticket queue you read the next morning. 60% of enterprise leaders rank same-time-zone work as very important, and it is the single reason most offshore back-office experiments fail.

Nearshore vs. offshore time-zone comparison · enterprise leader survey
Frequently asked questions

The ten questions every buyer asks us

These are the real ones, from real calls — including the three that usually kill a deal quietly. Each answer starts with the part that is actually true.

01Will their English actually be good enough for my customers?

Colombia averages 480 on the EF English Proficiency Index — rank 76, "moderate", just below the global average of 488. That is the honest number, and it is the wrong one to hire on: it describes 50 million people, not the person you are considering. Every profile in the marketplace carries a verified CEFR level (C1 or C2 for anything customer-facing) and a recorded interview you watch before you commit. Three profiles sitting at A2 today are marked "in English acceleration" and are not shown to English-speaking clients at all.

02I tried offshore before and it failed. Why is this different?

Most of those failures were structural. A 10–13 hour time gap, a vendor who supplied a body instead of a defined role, and no training on your actual workflow. Bogotá runs on New York time, the role is scoped before anyone is sourced, and the person is trained on your CRM, your tools and your AI stack before they meet your team. A LATAM hire on your clock is a different model, not a cheaper version of the same one.

03How do I manage someone I never see in person?

The same way you manage anyone: by output you can inspect. Every deployment starts by defining what the role owns, what success looks like and which numbers get reported weekly. Tickets closed, permits submitted, appointments booked, RFIs cleared — in your systems, not in a vendor dashboard. If a role cannot be described that way, it is not ready to be filled by anyone, remote or not.

04My work is too technical and too jurisdiction-specific.

Partly true, and worth saying out loud: a nearshore engineer will not stamp your plan set and will not replace your PE. What they do is prepare the package, run the AHJ portal, chase revisions and keep the permit tracker current, so your licensed staff only reviews and signs. AHJ knowledge is built during onboarding on your top jurisdictions, and kept in a playbook that stays with you.

05What happens to my customer data and my IP?

NDA before any full profile is shared, individual confidentiality agreements with every deployed person, access through your own systems under your own permissions, and nothing stored on Kurios infrastructure. You revoke access the same way you would for an employee: in your admin console, in one click.

06Am I creating an employment or misclassification problem?

Not if the structure is right, and you should ask to see it before signing. Kurios City LLC is a U.S. entity. You contract with the LLC for a service; the person is engaged in-country under local law with payroll, taxes and benefits handled there. You are not their employer and you are not registering an entity abroad. Any partner that hesitates on this question is the wrong partner.

07What if they quit in six months?

Attrition is real in this market and nobody should promise it away. What changes the odds: the person is paid a competitive local wage rather than the floor, they work one account instead of being rotated, and they are trained into a career track. If someone does leave, the replacement is on us and the documentation, prompts and automations stay in your account — the next person starts from the playbook, not from zero.

08Who pays for the AI licences and tools?

We do. Every profile ships with a Claude or Codex seat included in the monthly fee, plus the agent stack built for that role and the automation architecture documented in your account. You are not adding USD 250–600 a month of AI tooling on top, and if the person leaves, the architecture does not.

09What if I need to scale down?

Month-to-month after the first 90 days, with 30 days notice. You are not signing a headcount you have to defend for a year. Scaling down is a conversation, not a penalty — and the process documentation for that role stays with you either way.

10How fast can someone realistically start?

Fourteen to twenty-one days for a role already in the marketplace: about a week to select and confirm, then one to two weeks of training on your stack before day one. If the role does not exist in the catalog yet, sourcing adds seven to ten days. Anyone promising you Monday is skipping the training, and that is where remote hires actually fail.

Still not convinced? See where Kurios is the wrong answer — six situations where we tell people not to hire us.

Referral program

Know someone? Get paid when it works.

Two ways to earn, and they pay differently on purpose. A candidate is a one-time placement. A company is recurring revenue — so that one pays you every month they keep billing. No cap, and we tell you the outcome either way.

REFER A CANDIDATE
USD 500
$250 at deployment, $250 at day 90 in the seat.
REFER A COMPANY
5%
Of their monthly billing, every month, for 12 months.
C-LEVEL PLACEMENT
10%
Of our search fee when a referred company hires.
ONE COMPANY, 3 ROLES
$5,760
What a single introduction can pay over a year.
SEO · página actual
URLhttps://kurios.city/industries/ai-operations
Title
Nearshore teams for AI Operations companies | Kurios City (57 car.)
Meta
Industrial, energy and SaaS teams putting AI into the operation. The people who build the automations, keep the models honest and turn data into decisions. Deployed in ~21 days with free replacement. (199)
H1
Nearshore teams for AI Operations companies
KeywordAI operations team for industrial companies
Schema
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