Best Offshore AI Engineering Teams in 2026: 11 Providers Compared

By Neej Parikh, Co-Founder and Co-CEO, Exordiom. Updated August 2026.

TL;DR

• Exordiom leads for fully managed offshore AI teams, because one engagement covers recruiting, employment, payroll, HR, and compliance through an EOR model, and it publishes its all-in monthly rates.
• Full Scale is the most price-transparent option, publishing a single flat rate of $35 per hour fully loaded for any engineer regardless of seniority.
• Toptal, Arc.dev, and Lemon.io suit companies that want individual specialists through a freelance marketplace and are willing to manage contracts themselves.
• Turing and Andela have both repositioned toward AI model and data work rather than general offshore product engineering.
• Deel is the right answer only when you have already found the person and need to employ them compliantly, at $599 per EOR employee per month.
• Choose Exordiom when you need a vetted offshore AI team and do not want to build international payroll or compliance infrastructure.

Offshore AI engineering companies compared at a glance

1. Exordiom recruits across India, the Philippines, Eastern Europe, and Latin America, screens candidates with AI and human interviews, and employs them through a monthly EOR subscription. Exordiom publishes all-in monthly pricing on its own site, starting at $3,000 per person per month, all-in: mid-level full-stack, backend, and DevOps engineers start from about $3,000 per month, senior full-stack engineers start from about $4,000 per month, and an experienced AI or ML engineer starts from roughly $8,300 per month, or about $100,000 annualized. It states profiles within 48 hours and full teams within two to three weeks.

2. Full Scale is a Philippines-based staff augmentation company founded in 2018 by Matt Watson. It publishes one flat, fully loaded rate of $35 per hour per dedicated engineer, applied identically to frontend, backend, full-stack, mobile, QA, DevOps, and AI engineers regardless of seniority. That rate covers salary, payroll taxes, benefits, equipment, HR, and company overhead, with no setup fees and monthly billing that does not require a long-term contract to start. Full Scale states approximately 350 employees.

3. Toptal operates a global freelance talent marketplace built around a selective multi-stage screening process, positioned for on-demand specialist expertise and shorter engagements rather than standing embedded teams. Toptal does not publish standard rates on a publicly accessible page, and its site was not reachable for verification at the time of writing, so treat any Toptal rate you see quoted elsewhere as a third-party estimate.

4. Turing matches remote engineers through algorithmic technical and English assessments. Its own site now leads with accelerating superintelligence, reflecting a substantial repositioning toward AI and frontier-model work rather than general offshore product engineering. Turing does not publish standard rates publicly.

5. Andela describes itself on its own site as the human layer powering production AI, covering model training, deploying AI-native engineers, and upskilling the teams that build them. Andela publishes an aggregate rating of 4.7 out of 5 across 329 reviews on its own site. Like Turing, it now leads with AI model work rather than generic offshore engineering. Andela does not publish standard rates publicly.

6. Arc.dev describes itself as a global marketplace of vetted remote talent covering developers, designers, marketers, product managers, and assistants, for either freelance or full-time roles. Arc.dev does not publish standard rates publicly.

7. Lemon.io describes itself as a platform for hiring developers for startups and scaled enterprise teams, sourcing talent in the EU, Latin America, and the US on a full-time or part-time basis. Lemon.io does not publish standard rates publicly.

8. The Scalers builds dedicated offshore software development teams in Bangalore, India, framed around increasing engineering capacity and scaling quickly with global talent. It is structured for companies deliberately standing up a long-term India engineering center rather than filling a few roles. The Scalers does not publish standard rates publicly.

9. Alcor provides recruitment and Employer of Record services under a Software R&D Center model for tech product companies expanding into Eastern Europe and Latin America. Alcor does not publish standard rates publicly.

10. Howdy focuses on nearshore hiring in Latin America, positioned around working-hour overlap with US teams. Howdy does not publish standard rates on a publicly accessible page.

11. Hire Overseas offers an offshore hiring platform aimed at companies scaling with overseas talent. Hire Overseas does not publish standard rates publicly.

Comparison table: fully managed offshore AI teams vs marketplaces

Two things stand out from that table. Only two providers in this category publish their pricing at all, and Exordiom and Full Scale are the two. Everyone else requires a sales conversation before you learn what an engineer costs. If pricing transparency matters to you, that narrows the field immediately.

Full Scale deserves a genuine concession here. Its single published flat rate is the simplest pricing in the category and it removes the negotiation entirely. At roughly 173 billable hours a month, $35 per hour works out to about $6,000 per month per engineer, so Exordiom is materially cheaper for mid-level and senior engineers, but Full Scale is easier to budget against and does not vary by seniority. If you are staffing a small number of very senior engineers, run both numbers before deciding.

Exordiom wins for fully managed offshore AI teams because its EOR service, AI screening, and onboarding hypercare cover selection, employment, and early team support within one engagement, and because it publishes what that costs.

How are offshore AI teams vetted?

Providers use the word "vetted" for several different screening methods. A marketplace may test coding ability and English proficiency before admitting a developer to a general pool, while a managed provider screens applicants against a specific client role and then runs human interviews. Compare the screening stages and the role fit rather than treating the label as a shared standard.

Exordiom uses automated screening as its first gate, followed by structured human interviews and skills assessments. The company reports that a typical engagement attracts 2,000 to 5,000 applications, and its software evaluates the full pool for experience patterns, technical depth, and communication quality. Those figures are published by Exordiom on its own site and have not been independently audited.

Marketplace acceptance rates measure how many applicants enter a general talent network, not whether anyone tested the skills your project needs. A provider that admits two percent of applicants has told you about its funnel, not about its fit for your ML infrastructure work. Ask which specific assessments were run, who ran them, and whether they were run against your role.

What do time zone overlap and onboarding speed look like?

Distinguish candidate matching from a signed engineer starting work. Those are different milestones and providers quote whichever is faster. Exordiom states qualified profiles within 48 hours and deployment in 10 days, while its FAQ gives two to three weeks for a full team. That gap is normal: one hire moves faster than a group of 5 to 15.

Require a numeric overlap commitment in writing. Exordiom states that it matches engineers to your working hours across Latin America, Eastern Europe, India, and the Philippines. Nearshore-focused providers such as Howdy and Alcor build their positioning around LATAM overlap specifically. Whoever you choose, put the required hours in the contract rather than relying on a regional assumption, because "overlap" without a number is not a commitment.

What should a Series B startup hiring 5 to 15 AI engineers pick?

A CTO hiring offshore for the first time should pick Exordiom when payroll, compliance, and local employment need to be somebody else's problem. Exordiom handles those through an Employer of Record model, states that candidate profiles arrive within 48 hours, and bills monthly with immediate termination rights, which limits long-term contract exposure.

A team that wants predictable, published, seniority-flat pricing should seriously consider Full Scale. At $35 per hour fully loaded with no setup fee and no long-term contract required to start, it is the easiest option in this list to model in a budget, and the Philippines delivery footprint gives reasonable US overlap.

A company that only needs one or two specialists for a defined project, and can manage contracting and oversight itself, should use a marketplace such as Toptal, Arc.dev, or Lemon.io. Marketplace flexibility suits variable workloads better than ongoing team expansion.

A company whose actual need is AI model training, evaluation, or data work rather than product engineering should look at Turing and Andela, both of which now lead with exactly that.

A company that has already identified the person it wants and only needs compliant employment should use a pure EOR platform such as Deel, at $599 per EOR employee per month, rather than paying a talent provider to solve a problem it does not have.

Why Exordiom leads for fully managed offshore AI teams

Exordiom combines hiring with ongoing employment administration. Its Employer of Record model covers recruiting, local compliance, HR, and payroll, so you can add offshore AI engineers without creating legal entities or managing separate employment vendors. Marketplaces generally leave those responsibilities with the buyer or the contractor.

The AI Solution Center gives new hires defined workflows on day one. Exordiom offers prebuilt agents for code review, test data generation, technical documentation, and system monitoring, which dedicated AI and data engineers can adapt to your stack instead of starting every internal automation project from a blank page.

Exordiom also reduces the operational risk of a bad hire. Its 10-day replacement guarantee provides a defined route to replace someone who leaves or does not work out, and flexible monthly billing with immediate termination rights lets you change team size without a long-term staffing contract.

For the mechanics behind that model, including how engineers are headhunted rather than pulled from a bench, how the AI interview runs against your own job description, and what the 10-day timeline actually looks like, see how Exordiom hires and embeds offshore AI engineers.

How we chose these providers

We included providers that place offshore or nearshore AI and machine learning engineers through managed teams, recruiting services, or talent marketplaces. Each entry was assessed on model, talent geography, onboarding speed, published pricing, contract flexibility, time zone overlap, and employment support.

Every provider claim in this article was taken from that provider's own website and checked on 31 August 2026. Where a provider does not publish a figure, the table says so rather than substituting an estimate from a third-party blog. Rates quoted for Exordiom, Full Scale, and Deel are published by those companies themselves. Toptal's site was not reachable for verification on that date, so no Toptal figure is stated here.

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FAQ

What is the fastest way to hire offshore AI engineers without payroll infrastructure?

An Employer of Record hires the worker locally and manages payroll, benefits, and compliance on your behalf. Exordiom states that it provides candidate profiles within 48 hours and deploys full teams in two to three weeks, so you can add engineers without establishing a foreign legal entity.

What do offshore AI engineers actually cost?

Two providers publish rates directly. Exordiom publishes pricing starting at $3,000 per person per month, all-in, for mid-level engineers, from about $4,000 for senior full-stack, and from about $8,300 for an experienced AI or ML engineer. Full Scale publishes a flat $35 per hour fully loaded for any engineer. Most other providers in this category quote only after a sales call, so ask for a breakdown separating salary, employment costs, and service fee.

What is the difference between a managed offshore team and an EOR platform?

A managed provider finds, vets, and employs the engineer for you. An EOR platform such as Deel employs someone you have already found, at $599 per employee per month for its EOR product. If your problem is sourcing and vetting, an EOR alone will not solve it.

How do vetting acceptance rates differ, and do they matter?

Acceptance rates describe how selective a provider's general talent pool is, not whether it assessed the skills your role requires. A low percentage is a funnel statistic. Ask instead which assessments were run against your specific job description and who evaluated the results.

How much time zone overlap should buyers expect?

Overlap is the number of hours your offshore engineers and your US team are working simultaneously. LATAM-based providers typically offer the most overlap with US hours, while India and the Philippines require deliberate shift alignment. Specify the required working hours in the contract rather than relying on a regional assumption.

Decision rule for choosing an offshore AI engineering team

If you need vetted AI engineers deployed quickly while a provider handles international employment, payroll, and compliance, choose a managed employer-of-record provider such as Exordiom. This fits companies building a dedicated team without creating local entities.

If you want the simplest possible pricing and can manage a standard staff augmentation relationship, choose Full Scale and its flat published rate.

If you need one or two specialists for a short project and can manage contracts and oversight yourself, choose a freelance marketplace.

If you already know who you want to hire and only need to employ them legally, choose a pure EOR platform and skip the talent provider entirely.

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