Turing vs BairesDev: full comparison for 2026
Quick verdict
Turing (4.1/5) edges ahead of BairesDev (3.9/5) overall. Turing is the better choice for companies that need many remote ML and data engineers quickly and value speed over hand-picked screening. BairesDev is the stronger option for U.S. companies that need ML engineers alongside a larger nearshore software team. The right choice depends on your project size, budget, and required tech stack.
Turing vs BairesDev: head-to-head summary
| Criterion | Turing | BairesDev |
|---|---|---|
| Founded | 2018 | 2009 |
| HQ | Palo Alto, California, USA | San Francisco, California, USA |
| Team size | Staff size not published; multi-million talent pool | 4,000+ |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Primary differentiator | Automated vetting and matching across the largest developer pool on this page | Thousands of Latin American engineers available in U.S. time zones |
| Pricing model | Monthly or hourly per developer; no public rate card; rates on request | Monthly per engineer or team; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, TensorFlow, PyTorch |
| Industries served | Technology, AI labs, Finance, Healthcare, Retail | Technology, Financial services, Healthcare, Retail, Media |
Turing vs BairesDev: overview
Turing
Turing was founded in Palo Alto in 2018 and built its developer marketplace on automated vetting. A company executive has said its system evaluated about two million developers and passed more than 50,000 through technical exams and interviews. That machinery makes it fast for common roles. Its business has shifted, though: much of its revenue now comes from producing training data for AI labs, and in 2026 it recruits doctors and accountants for that work alongside engineers. Third-party guides estimate $100 to $200 an hour for mid to senior developers, but Turing publishes no rate card.
BairesDev
BairesDev was founded in Buenos Aires in 2009 and is now headquartered in San Francisco, with several thousand engineers across Latin America. It sells staff augmentation, dedicated teams and project delivery, and its AI practice covers ML, data engineering and generative AI. Its size means it can add many engineers quickly in U.S. time zones. AI is one practice inside a general software company, though, and its marketing volume is larger than the specialist evidence behind its AI work.
Services and capabilities: Turing vs BairesDev
| Capability | Turing | BairesDev |
|---|---|---|
| ML engineers | ✓ | ✓ |
| LLM / GenAI engineers | ✓ | ✓ |
| AI agent developers | ✗ | ✗ |
| MLOps engineers | ✗ | ✗ |
| Computer vision engineers | ✗ | ✗ |
| NLP engineers | ✗ | ✗ |
| Data engineers | ✓ | ✓ |
| Engineer-led technical screen | ✗ | ✗ |
| Fractional / part-time experts | ✗ | ✗ |
| Trial before commitment | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✓ |
| Direct hire option | ✗ | ✗ |
Tech stack comparison: Turing vs BairesDev
| Framework / platform | Turing | BairesDev |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | ✓ |
| Databricks | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Turing vs BairesDev
| Criterion | Turing | BairesDev |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Dedicated team, Freelance contract | Dedicated engineer, Dedicated team, Project delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Turing vs BairesDev
| Dimension | Turing | BairesDev |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology, AI labs, Finance | Technology, Financial services, Healthcare |
| Best use cases | Adding five remote data engineers to a cloud migration, Staffing an LLM evaluation project with many short-term contributors | Adding ML engineers to a nearshore product team, Staffing data engineers for a cloud data warehouse |
| Typical project type | Dedicated engineer | Dedicated engineer |
Turing vs BairesDev: pros and cons
| Turing | |
|---|---|
| + | Can match many engineers at once across time zones |
| + | Huge pool makes rare stack combinations easier to find |
| + | Experience supplying engineers to AI labs |
| - | Vetting is mostly automated, with less human technical judgment than engineer-led screens |
| - | Revenue now leans toward AI training data, which may pull attention from staffing clients |
| - | No published rates; third-party estimates are high |
| BairesDev | |
|---|---|
| + | Can staff large mixed teams of ML and software engineers |
| + | Latin American engineers work U.S. hours |
| + | Mature contracting and onboarding process |
| - | AI is one practice among many, so specialist depth varies |
| - | Screening is run at volume and not described as engineer-led for ML roles |
| - | No public rates |
Who should choose Turing?
A typical fit: adding five remote data engineers to a cloud migration.
Automated vetting and matching across the largest developer pool on this page. Minimum engagement is not publicly disclosed. Works best with clients in Technology, AI labs, Finance, Healthcare, Retail.
Who should choose BairesDev?
A typical fit: adding ML engineers to a nearshore product team.
Thousands of Latin American engineers available in U.S. time zones. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Financial services, Healthcare, Retail, Media.
Decision matrix: Turing vs BairesDev
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | Neither documents an engineer-led screen; run your own technical interview |
| You need one specialist for a few days a week | Neither advertises part-time experts; ask about reduced hours |
| You need several engineers working as one team | Both; Turing rates higher overall |
| You want to test an engineer before committing | Neither publishes a trial; negotiate a short first term |
| Your budget is at the lower end | Compare: Turing (Not published) vs BairesDev (Not published) |
| Your team works U.S. hours | BairesDev |
| You may want to hire the engineer permanently later | Neither lists direct hire; agree conversion terms up front |
Use case fit: Turing vs BairesDev
| Use case | Turing fit | BairesDev fit | Winner |
|---|---|---|---|
| Adding five remote data engineers to a cloud migration | Strong | Strong | Both equally |
| Staffing an LLM evaluation project with many short-term contributors | Strong | Strong | Both equally |
| Adding ML engineers to a nearshore product team | Strong | Strong | Both equally |
| Staffing data engineers for a cloud data warehouse | Strong | Strong | Both equally |
Verdict: Turing vs BairesDev
Turing (4.1/5) is the stronger overall choice for most AI Engineer Staffing projects. Automated vetting and matching across the largest developer pool on this page.
BairesDev (3.9/5) is worth a look if you need staffing data engineers for a cloud data warehouse. If your situation matches that, BairesDev is a competitive option.
Related comparisons
Turing vs BairesDev FAQ
Is Turing better than BairesDev?
Turing (4.1/5) scores higher overall, but "better" depends on your use case. Turing's strongest advantage: can match many engineers at once across time zones. BairesDev's strongest advantage: can staff large mixed teams of ML and software engineers.
How do Turing and BairesDev differ in pricing?
Turing uses monthly or hourly per developer; no public rate card; rates on request pricing. BairesDev uses monthly per engineer or team; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Turing or BairesDev?
BairesDev is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Turing and BairesDev?
Turing's primary differentiator is: automated vetting and matching across the largest developer pool on this page. BairesDev's primary differentiator is: thousands of Latin American engineers available in U.S. time zones. They also differ in team size (Staff size not published; multi-million talent pool vs 4,000+), minimum engagement (Not published vs Not published), and primary industries served (Technology, AI labs vs Technology, Financial services).
Verify all details directly with each company before making a decision.