Hiring AI talent isn’t only about finding someone with the right technical skills. It’s also about choosing a hiring model that matches the work. Do you need a flexible specialist for a defined project, or a dedicated engineer who can take ownership as your product and data evolve?
That distinction sits at the center of Toptal vs. South. Toptal connects companies with freelance AI developers through hourly, part-time, and full-time contract engagements. South helps U.S. companies hire full-time AI engineers from Latin America, supporting recruiting, vetting, payroll, and compliance through one talent partner. Both provide access to experienced professionals, but they’re designed for different workforce needs.
A company looking for a Toptal alternative for AI talent may prefer South when the role requires consistent U.S. working-hour overlap, long-term collaboration, and deeper ownership of the company’s systems. Toptal may be a better fit when you need a freelance AI developer for a prototype, model evaluation, technical bottleneck, or temporary capacity. The right option depends on the duration of the work, the level of ownership required, and how the person will collaborate with your existing team.
This guide compares Toptal and South across pricing, vetting, hiring speed, geography, engagement models, and ideal use cases. For a deeper look at candidate evaluation, read our guide to hiring AI engineers from Latin America. You can also review AI engineer hiring costs in Latin America before choosing the best approach for your team.
Quick Verdict: Toptal or South?
Choose Toptal when you need an AI specialist quickly for a defined project, temporary workload, or technical challenge. Its global freelance network supports hourly, part-time, and full-time contract engagements, giving companies room to adjust capacity as project requirements change.
Choose South when you want to hire a full-time AI engineer from Latin America who can work closely with your team and take ongoing ownership of models, data pipelines, infrastructure, and product features. South sources and vets candidates, manages local contracts, runs payroll and compliance, and bills the company monthly.
The strongest choice depends on the relationship you need. Toptal is designed for flexible access to freelance AI developers worldwide. South is built for companies that want dedicated nearshore AI talent with consistent U.S. working-hour overlap and a long-term place on the team.
Before deciding, consider how long you’ll need the professional, how many hours they’ll work, and whether the role requires deep knowledge of your product. You can also review Toptal’s pricing model to understand how contract costs may change across different engagement types.
Toptal vs. South at a Glance
The main difference between Toptal and South is the type of working relationship they help companies build. Toptal offers flexible access to freelance and contract professionals worldwide, while South focuses on dedicated, full-time talent from Latin America.
Toptal offers greater flexibility in how and where you engage talent. South provides a more structured option for companies that want a dedicated professional who becomes part of their daily operation.
Neither model is automatically better for every AI initiative. A short generative AI prototype may only require a freelance AI developer for several weeks, while an AI-powered product, internal automation program, or machine learning platform may need a full-time engineer who can maintain and improve it over time.
How Toptal and South Work
Toptal and South both reduce the work involved in finding qualified AI talent, but their hiring processes lead to different types of engagements. Toptal matches companies with professionals from its global freelance network, while South recruits dedicated employees from Latin America for ongoing roles.
How Toptal Works
The Toptal process begins with a conversation about your project, technical requirements, preferred experience, availability, and team dynamics. A talent matcher then selects professionals from Toptal’s network rather than asking you to browse hundreds of freelance profiles.
After reviewing the suggested candidates, you can interview the strongest match and begin an hourly, part-time, or full-time contract engagement. Toptal also offers a trial period of up to two weeks, giving both sides time to confirm that the collaboration works.
This model can move quickly when a company needs specialized expertise for an urgent or clearly scoped AI initiative. It may suit projects such as validating a machine learning concept, improving an existing model, building a prototype, or adding temporary support before a launch.
For a broader look at the platform beyond AI hiring, read our complete Toptal review.
How South Works
South starts by defining the full-time role, including its responsibilities, technical requirements, seniority, compensation range, English level, and required U.S. working-hour overlap. Its recruiting team then searches across Latin America and evaluates candidates against the company’s specific scorecard.
The company receives a curated selection of candidates and interviews the professionals it wants to consider. Once a candidate is selected, South manages the local contract, payroll, and compliance while billing the client monthly. The AI engineer works directly with the client’s internal team and becomes part of its regular tools, meetings, and workflows.
The goal is to create an ongoing working relationship rather than fill a temporary project gap. This makes South a practical Toptal alternative for companies that want to hire a full-time AI engineer from Latin America, preserve institutional knowledge, and build nearshore AI talent into their long-term product or engineering strategy.
AI Talent and Vetting
AI experience can look impressive on a résumé while still being difficult to verify. A candidate may know how to call an AI API or build a polished prototype but have limited experience deploying reliable systems, measuring model quality, protecting sensitive data, or maintaining an application after launch.
The strongest vetting process examines what the candidate has built, how it performed, and which technical decisions they personally owned. That matters whether you’re hiring freelance AI developers for a short engagement or a full-time AI engineer who will contribute to the product for years.
Toptal’s Vetting Approach
Toptal screens professionals before admitting them to its global network. Its process includes English and communication evaluation, technical interviews conducted by domain experts, and practical assessments designed to confirm whether candidates can perform in realistic work situations. Toptal says the complete screening process can take between three and eight weeks.
Once a company shares its requirements, Toptal recommends candidates from that pre-screened network. This gives businesses faster access to professionals who have already completed the platform’s general admission process. The company should still run its own interview to confirm that the selected developer has relevant experience with its particular model, data environment, infrastructure, and industry constraints.
Toptal’s global reach can be especially helpful when a project requires a narrow skill set, such as natural language processing, computer vision, deep learning, or model optimization.
South’s Vetting Approach
South builds its search around the specific full-time position rather than matching the company with a general pool of available contractors. The process begins with a scorecard covering the required technical skills, seniority, industry experience, communication style, compensation, and working-hour overlap.
Candidates are then evaluated for the role they’ll actually perform. For an AI or machine learning position, that may include reviewing previous AI projects, model evaluation experience, deployment knowledge, data engineering fundamentals, and the ability to explain technical tradeoffs to nontechnical stakeholders. South also assesses English proficiency and communication before presenting a curated group of finalists.
This role-specific approach is useful when the hire needs to fit an existing team, product roadmap, and technical environment. Companies can then conduct their own technical interviews using the same criteria they would apply to a local employee. Our guide to hiring AI engineers from Latin America includes additional screening criteria and interview guidance.
What Should You Evaluate?
Regardless of the platform, ask candidates to explain a real AI system they helped build. Focus on:
- The business problem and why AI was appropriate
- Their individual contribution to the project
- How they selected and evaluated the model
- The data quality or privacy challenges they encountered
- How the system was deployed, monitored, and improved
- What they would change if they built it again
A strong candidate should be able to discuss both the successful parts of the project and the decisions that required adjustment. Clear reasoning is often more revealing than a long list of frameworks or AI tools.
Toptal may be the stronger choice when you want pre-screened global talent for a specialized contract. South may be more suitable when you need an AI recruitment company to conduct a targeted Latin American search for a dedicated, full-time hire.
Pricing and Total Hiring Cost
The pricing comparison between Toptal and South isn’t perfectly one-to-one. Toptal gives companies flexible access to contract professionals, while South provides a dedicated full-time hiring model. The better value depends on how many hours you need, how long the work will continue, and what’s included in the engagement.
A freelance AI developer can be cost-effective for a focused project with a clear endpoint. A full-time hire can make more financial sense when AI work becomes part of the company’s ongoing product, engineering, or automation roadmap.
Toptal Pricing
Toptal doesn’t publish a standard rate card for its AI developers. Pricing depends on the professional’s experience, location, technical specialization, availability, and whether the engagement is hourly, part-time, or full-time. Toptal currently supports all three contract formats.
Companies that proceed with talent matching also pay a $79 monthly platform subscription, which can be canceled at any time. The professional’s rate is quoted separately once Toptal understands the project and recommends a candidate.
This structure gives companies control over their initial commitment. You can bring in a freelance machine learning engineer for a limited number of hours, expand the engagement during a busy period, or reduce capacity once the project is complete.
The total can rise quickly when a highly specialized contractor works full time for several months. Before accepting a quote, calculate the expected weekly hours across the entire project rather than focusing only on the hourly rate.
For more details on fees and engagement structures, review our guide to Toptal pricing in 2026.
South Pricing
South uses a recurring monthly model for dedicated, full-time professionals from Latin America. The monthly invoice covers the employee’s compensation along with South’s recruiting, payroll, compliance, and ongoing hiring support.
The final cost depends on the candidate’s seniority, country, English proficiency, technical stack, and production AI experience. South’s published benchmarks place many Latin American AI engineers at approximately $4,500 to $8,000 per month, with specialized LLM, MLOps, and technical leadership profiles typically sitting toward the higher end.
This model creates a predictable monthly team cost and gives the professional a consistent full-time schedule. It’s designed for positions that involve regular collaboration, product knowledge, maintenance, experimentation, and ownership beyond a single deliverable.
Companies creating a budget can review the full breakdown in our guide to the cost of hiring an AI engineer in Latin America.
How to Compare the Real Cost
Start with the amount of work you expect over the next 6 to 12 months.
For a short, highly specialized project, estimate:
- The contractor’s hourly or weekly rate
- Expected working hours
- Platform or subscription fees
- Project extensions and additional revisions
- Time required from internal managers and engineers
For an ongoing AI position, estimate:
- Monthly compensation
- Recruiting and vetting expenses
- Payroll and local compliance
- Equipment and employee support
- Replacement costs
- The value of retaining product and system knowledge
Toptal can provide better cost control when the workload is temporary or changes from month to month. South can provide stronger long-term predictability when the company already has enough AI work for a full-time professional.
Price should follow the scope of the relationship. A company that needs 15 hours of model optimization may get little value from creating a permanent role. A company building AI into its core product may spend more over time by repeatedly extending freelance contracts and transferring context between specialists.
Speed, Collaboration, and Long-Term Ownership
Hiring speed matters when an AI project is blocked, but the fastest match isn’t always the fastest route to meaningful results. Companies also need to consider onboarding, working-hour overlap, access to internal systems, and how long the professional will stay involved.
Toptal is optimized for quickly adding specialized contract capacity. South is structured around finding a dedicated professional who can grow with the role.
Hiring Speed
Toptal can be the faster option when you need a freelance AI developer almost immediately. The company says it typically introduces candidates within 24 hours and that most clients hire the first person presented. Engagements also begin with a trial period of up to two weeks.
That speed can be valuable when:
- A launch is approaching and the team needs additional expertise
- An existing model has a performance problem
- You need a specialist in computer vision, natural language processing, or generative AI
- Your internal engineers need temporary support
- A project has a defined scope and deadline
South runs a broader recruiting process for a dedicated hire. It defines the role, searches across Latin America, evaluates candidates, and coordinates interviews before the company makes its selection. South currently reports an average hiring timeline of about 16 days.
The extra time supports a different goal: finding someone who can fill an ongoing position rather than delivering a limited project.
A company hiring a full-time AI engineer may need to evaluate technical depth, communication, compensation expectations, industry experience, and compatibility with its existing team. A targeted search gives the employer more opportunity to assess those factors before making a long-term commitment.
Day-to-Day Collaboration
Toptal recruits from a global network, so working-hour overlap depends on the professional you select. Companies can include availability and time-zone requirements in the brief, but the experience will vary by candidate.
This flexibility gives businesses access to a wider geographic talent pool. It can work especially well for projects that are largely independent, have clearly documented deliverables, or require only a few scheduled meetings each week.
South focuses exclusively on nearshore talent in Latin America. Most professionals in the region can work during or close to standard U.S. business hours, which makes real-time meetings, Slack conversations, technical reviews, and incident response easier to coordinate.
Shared working hours become particularly valuable when an AI professional needs to:
- Collaborate with product managers and software engineers
- Review data with internal stakeholders
- Respond to production issues
- Participate in sprint planning and technical discussions
- Test AI features with users
- Adjust models as business requirements change
Companies can learn more about this operational advantage in our guide to South America’s time zones.
Time-zone alignment has less impact when the work is independent. It becomes more important when AI development is closely connected to the product, customer experience, and daily engineering decisions.
Knowledge and Long-Term Ownership
Freelance AI developers can bring valuable outside expertise to a project. They may help a team select an architecture, test a use case, improve model performance, or accelerate a delivery milestone. Once the engagement ends, responsibility for maintaining the solution returns to the internal team.
That arrangement works best when the project has:
- A clearly defined deliverable
- Strong internal documentation
- An employee who can take over afterward
- Limited dependence on evolving company knowledge
- A natural endpoint
A dedicated AI engineer develops a different kind of value over time. They learn how the company’s data is collected, how customers use the product, which technical shortcuts have already been attempted, and where the system is most likely to fail.
That accumulated context can improve decision-making, reduce repeated explanations, and create clearer ownership of AI systems after launch.
This matters because production AI work continues after the first model or feature is released. Someone may need to monitor output quality, evaluate new models, control infrastructure costs, address security risks, update data pipelines, and respond when user behavior changes.
Which Model Fits the Work?
Toptal may offer the stronger model when speed and flexibility are the main priorities. It allows companies to add a specialist without immediately creating a permanent position.
South may be the better Toptal alternative when the company wants to hire nearshore AI talent for a full-time role involving daily collaboration and continuing ownership.
Choose based on what happens after the initial project is complete. A contractor can help you reach a defined milestone quickly. A dedicated hire can stay to maintain the system, develop the next feature, and apply what they’ve learned across future AI initiatives.
Which Option Fits Your AI Hiring Need?
The choice between Toptal and South becomes easier when you start with the work itself. Consider whether the role is temporary or ongoing, how closely the professional will collaborate with your team, and who will own the AI system after the first deliverable is complete.
Choose Toptal When You Need:
- A freelance AI developer for a defined project
- Specialized expertise for a short-term technical challenge
- Flexible hourly or part-time availability
- Extra capacity during a launch or demanding development cycle
- A professional who can work independently with clear deliverables
- Access to AI talent across multiple global regions
- Support before your company is prepared to create a full-time position
Toptal can be especially practical for projects such as building a proof of concept, auditing an existing AI system, improving model performance, creating an initial generative AI feature, or filling a temporary skills gap.
Its flexibility lets companies bring in advanced expertise without committing to a permanent role before the long-term workload is clear.
Choose South When You Need:
- A dedicated, full-time AI or machine learning engineer
- Consistent collaboration during U.S. working hours
- Long-term ownership of AI models, data pipelines, and infrastructure
- A targeted search across Latin America
- Recruiting, local contracts, payroll, and compliance support
- A predictable monthly cost for an ongoing position
- A professional who can become part of your product or engineering team
- The option to build a larger nearshore AI team over time
South is a stronger fit when AI has become an ongoing business capability rather than a single project. The professional can participate in regular planning, learn the company’s systems, monitor production performance, and continue improving the solution as business needs change.
This model gives companies a direct path to building institutional knowledge instead of transferring context whenever a contract ends.
Can You Use Toptal and South Together?
Some companies may benefit from using both models at different stages.
For example, a Toptal specialist could help validate an idea, select an architecture, or solve an urgent technical problem. South could then help the company hire a full-time AI engineer who takes over the system, maintains it, and develops future features.
The reverse can also work. A company with a dedicated internal or nearshore AI team may use Toptal when it occasionally needs a highly specialized skill that isn’t required year-round.
The decision doesn’t have to be permanent. Companies can use flexible contractors for bounded expertise and dedicated hires for the work that requires continuity, collaboration, and long-term ownership.
Toptal vs. South: Final Verdict
Toptal and South can both help companies access experienced AI talent, but they solve different hiring problems.
Toptal is the stronger option for flexible, project-based support. Its global network works well when you need a freelance AI developer for a defined initiative, a temporary skills gap, or a specialized technical challenge. You can adjust the engagement around the project instead of creating a permanent role from the start.
South is the stronger option for building long-term AI capability. It helps U.S. companies hire full-time AI engineers from Latin America who can collaborate during similar working hours, learn the product in depth, and take ongoing ownership of AI models, data systems, and future releases.
The deciding question is simple: Do you need expertise for a project, or ownership for a role?
Choose Toptal when flexibility, speed, and global specialist access matter most. Choose South when you want dedicated nearshore AI talent, predictable monthly costs, and a professional who’ll become part of the team.
For companies planning to make AI a lasting part of their product or operations, South offers a more direct path to building a stable team in Latin America. Schedule a call with South to define the role, review salary expectations, and meet pre-vetted candidates.
Frequently Asked Questions (FAQs)
Is South a Toptal alternative for AI talent?
Yes. South can be a strong Toptal alternative for companies that want to hire dedicated, full-time AI professionals from Latin America. Toptal focuses on freelance and contract engagements, while South supports ongoing hires with recruiting, payroll, compliance, and replacement support included in the monthly service.
Which is better for hiring a full-time AI engineer?
South is generally the better fit for a long-term, full-time role. Its model is designed around professionals who join your daily workflows, work consistent hours, and take continuing ownership of AI products and systems.
Toptal also offers full-time contract engagements, which can work well when the company wants flexibility without creating a permanent internal role.
Is Toptal suitable for long-term AI projects?
Yes. Companies can use Toptal professionals for extended engagements, including full-time contract work. This can suit long projects that require specialist expertise or adaptable staffing.
For work involving years of product development, maintenance, and institutional knowledge, a dedicated hire may provide greater continuity. Reviewing the cost of Toptal over the full expected engagement can help clarify which model is more practical.
Does Toptal provide AI developers from Latin America?
Toptal’s network is global, so Latin American professionals may be available. Their location, working hours, and availability will depend on the individual matches presented for your project.
South runs targeted searches specifically across Latin America, making it more suitable when regional sourcing and U.S. time-zone alignment are core hiring requirements.
How quickly can you hire through Toptal or South?
Toptal is built for quick contract matching and may be the faster choice when a project needs immediate support. The exact timeline depends on the skills required and candidate availability.
South typically completes a more targeted recruiting process for a dedicated hire, including role definition, sourcing, vetting, and company interviews. The difference reflects the type of relationship being created rather than the quality of the talent.
Which option offers better U.S. time-zone alignment?
South offers more consistent time-zone alignment because it recruits exclusively in Latin America. This supports live collaboration with U.S. teams throughout the workday.
Toptal can also match companies with professionals who meet specific availability requirements, though the experience varies because its talent network spans multiple regions.
Is Toptal or South more cost-effective?
Toptal may be more cost-effective when you need a specialist for a limited number of hours or a project with a clear endpoint. South may provide better long-term value when there’s enough work to support a dedicated, full-time AI professional.
The most useful calculation is the total cost over 6 to 12 months, including working hours, platform fees, recruiting support, payroll, compliance, and the value of retaining technical knowledge.
Can a company use Toptal and South together?
Yes. A company might use Toptal to bring in a specialized consultant for an architecture review, prototype, or urgent technical problem, then use South to hire AI engineers from Latin America who maintain and expand the solution.
Using both models can work well when short-term expertise and long-term ownership are separate needs.
