Top AI Engineer Staffing Companies

Qubit Labs

Eastern European outstaffing firm that added AI staffing

Founded 2016 | Kyiv, Ukraine | 50–100 employees
ml-engineersdata-engineeringdedicated-teamseastern-europe-talent

What is Qubit Labs?

Qubit Labs launched in 2016 as a Ukrainian IT outstaffing company and is now listed with headquarters in Tallinn or Kyiv depending on the source. It builds remote dedicated teams in Ukraine, Poland, Moldova, Georgia, Romania and other countries, and in recent years it has added AI staff augmentation and deep tech recruiting. Screening is recruiter-led. The firm is a practical option for cost-conscious teams that know exactly what they want, but it has less proven ML depth than AI-only suppliers.

Qubit Labs works primarily with clients in Technology, Fintech, E-commerce, Gaming, Healthcare sectors. Its primary differentiator is: Recruiting across several lower-cost Eastern European countries.

Qubit Labs tech stack and services

PythonTensorFlowPyTorchAWSAzure
Service area
ML Engineers
Data Engineers
Dedicated Teams
Eastern Europe Talent

Qubit Labs pricing

Short answer: Qubit Labs uses a monthly per engineer with a service fee; rates on request pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.

Engagement model Typical range Best for
Dedicated engineer Variable; depends on team size Large programmes or team augmentation
Dedicated team Variable; depends on team size Large programmes or team augmentation
Qubit Labs does not publish a public rate card. Contact them directly via their website to get project-specific pricing.

Qubit Labs pros and cons

Advantages Things to consider
+Hires in several countries, not only Ukraine -Recruiter-led screening for technical roles
+Lower cost than Western European suppliers -AI staffing is a recent addition
+Clients say shortlists arrive quickly -Headquarters listed differently across sources

Qubit Labs vs alternatives

How Qubit Labs compares to the other top AI Engineer Staffing companies.

Company Best for Key difference Rating Compare
Tensorway CTOs who want an engineer, not a recruiter,... Senior AI engineers run a code review and a specialization-specific task on every candidate 4.8 Full comparison
deepsense.ai Teams that need a senior ML researcher who... A research-heavy bench of about 120 employed AI specialists with ten years of production work 4.6 Full comparison
Toptal Engineering leads who need one senior freelance ML... Multi-stage screening that ends with interviews by senior engineers and a test project 4.5 Full comparison
Proxify European companies that want a vetted ML or... Senior-engineer interviews with live coding after an automated skills test 4.4 Full comparison
InData Labs Product teams that need a computer-vision or NLP... Ten years of computer-vision and NLP delivery in an AI-only company 4.4 Full comparison
Quantiphi Enterprises that need many AI roles filled at... The biggest AI-only bench here, sold through a named staffing program with AWS 4.3 Full comparison
Neurons Lab Banks and insurers that need agent or LLM... A 500-engineer network managed by a small AI-only core team in London 4.3 Full comparison
Index.dev Startups that want a 30-day refundable trial before... A 30-day trial with full refund on every placement 4.2 Full comparison
Vstorm Teams whose LLM agent prototype needs engineers who... A team that works almost entirely on LLM agents and RAG 4.2 Full comparison
Turing Companies that need many remote ML and data... Automated vetting and matching across the largest developer pool on this page 4.1 Full comparison
Andela Companies building a long-term remote engineering group outside... Assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy 4.1 Full comparison
Uvik Software Python-heavy teams that want employed senior engineers rather... A no-freelancer policy with senior Python engineers who average seven years or more 4.1 Full comparison
SciForce Healthcare data teams that need NLP or data... Medical data science experience plus a documented multi-year placement engagement 4.0 Full comparison
Fusemachines Cost-conscious companies that want mid-level ML engineers from... Its own AI education programs feed an employed bench in emerging markets 4.0 Full comparison
Addepto Industrial and automotive companies that need data engineers... Data and ML engineers with industrial and automotive client history 4.0 Full comparison
Folio3 Teams that need an MLOps or computer-vision engineer... Very fast start times with a two-week trial and offshore pricing 3.9 Full comparison
Azumo U.S. teams on a tight budget that need... The lowest published hourly band on this page with full U.S. time-zone overlap 3.9 Full comparison
BairesDev U.S. companies that need ML engineers alongside a... Thousands of Latin American engineers available in U.S. time zones 3.9 Full comparison
N-iX Large companies that want ML and data engineers... Scale and two decades of history in Central European delivery 3.9 Full comparison
Svitla Systems Mid-size companies that want one supplier for ML... Engineers in both Latin American and European time zones from one supplier 3.9 Full comparison
Data Science UA Companies that want to hire Ukrainian ML engineers... A large AI community and conference series that feeds its recruiting 3.8 Full comparison
Tribe AI Leadership teams that want a part-time senior ML... Part-time access to senior ML practitioners from large tech companies 3.8 Full comparison
Strider U.S. startups that want to hire a Latin... Hiring plus retention support for Latin American developers 3.8 Full comparison
Coderio U.S. teams that need a managed nearshore squad... Squads assembled within seven days, with managed delivery as an option 3.8 Full comparison
micro1 AI teams that need many vetted contributors quickly... Automated AI interviews that screen candidates in high volume 3.7 Full comparison
Mercor AI labs and research teams that need specialist... AI-run interviews and matching built for high-volume expert hiring 3.7 Full comparison
Harnham Companies hiring permanent data or ML staff in... Twenty years of recruiting only in data and analytics 3.7 Full comparison
KORE1 U.S. companies that want a local agency to... A U.S. staffing agency with contract-to-hire terms for AI roles 3.6 Full comparison

Qubit Labs FAQ

What is Qubit Labs?

Eastern European outstaffing firm that added AI staffing

How much does Qubit Labs charge?

Qubit Labs uses monthly per engineer with a service fee; rates on request pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.

What tech stack does Qubit Labs use?

Qubit Labs works with Python, TensorFlow, PyTorch, AWS, Azure. Primary industries served include Technology, Fintech, E-commerce, Gaming, Healthcare.

Is Qubit Labs right for enterprise?

Cost-conscious teams that can write a precise brief for an Eastern European ML hire. 50–100 team size. Key consideration: Recruiter-led screening for technical roles.

What are the best Qubit Labs alternatives?

The best alternatives to Qubit Labs depend on your use case. Top options are:

  • Tensorway: senior ai engineers run a code review and a specialization-specific task on every candidate
  • deepsense.ai: a research-heavy bench of about 120 employed ai specialists with ten years of production work
  • Toptal: multi-stage screening that ends with interviews by senior engineers and a test project
See full alternatives list

Compare Qubit Labs with other AI Engineer Staffing companies

Verify all details directly with Qubit Labs before making a decision.