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Two platforms, different approaches to AI training talent. See which one fits your lab.
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Scale AI and Athyna Intelligence solve different parts of the AI training problem. Scale AI is an enterprise data infrastructure platform used by large labs and government teams for high-volume annotation, RLHF pipelines, and LLM evaluation. It works in North America, South Asia, Africa, and the Philippines.
Athyna Intelligence is built for labs that need something more specific: vetted PhD and Master's researchers matched by domain, credential, and language, primarily from Latin America, with coverage across Africa and APAC, at 40–60% of US rates and within US working hours.
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Athyna Intelligence is a specialized platform that connects AI labs and model training teams with vetted PhD and Master's graduates from Latin America, fast, and without the operational overhead of sourcing academic talent yourself.
Our researchers bring deep expertise across computer science, mathematics, engineering, NLP, biology, physics, law, economics, and more — sourced from leading LATAM universities including USP, UFRJ, FGV, Tec de Monterrey, and Universidad de Chile.
Here is what we support:
Scale AI is a data labeling and AI training infrastructure platform. It converts large volumes of raw data (text, images, video, code) into structured training data through a combination of software tooling, AI-assisted quality control, and a global crowdsourced workforce distributed across platforms like Outlier and Remotasks.
Services cover data annotation, RLHF, LLM evaluation, and enterprise GenAI tooling. Pricing is not public and varies by task type and volume. Scale AI's primary clients are large AI labs and enterprise teams.
Most global talent platforms make the same promises. The difference shows up in how they actually deliver.
Volume and research depth are not the same problem. Athyna Intelligence is built for labs that need the latter: vetted PhD and Master's researchers, matched by domain, credential, and language through a combined AI and human review process, sourced primarily from LATAM with coverage across Africa and APAC, at 40–60% of US rates and within US working hours.
Athyna Intelligence's vetting process reviews academic credentials, publication records where relevant, English fluency, and domain depth before any researcher reaches your team. The result is a smaller, more precise pool rather than a large one with variable depth.
Latin America has strong academic institutions that don't always appear in global talent. These programs have researchers with the kind of domain depth that high-quality RLHF and evaluation work demands.
Athyna Intelligence was built specifically to source from this region. The time zone alignment (1–3 hours from EST) is a practical benefit, as your team and your researchers are working at the same time. The academic depth is the real differentiator.
Athyna Intelligence covers the full range of AI training tasks, such as data generation, annotation, model evaluation, reasoning benchmarks, and domain-specific work, with the same vetted-expert process every time. Onboarding, compliance, and support are on us. You focus on building a better model.
LATAM researchers with PhD-level credentials cost 40–60% less than equivalent talent in the US or Europe. That is a structure of market rates in Brazil, Argentina, Mexico, Chile, and more.
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Whatever your hiring needs, we’ve got you covered. Athyna helps businesses, from high-growth startups to Fortune 100 companies, to scale up with top talent quickly and drive global growth.

Hiring with Athyna is simple. You tell us what you need, and we do the heavy lifting. From your first call to your new hire’s first day, we help you hire top talent fast so you can focus on growing your business.


Tell us who you need and when. We'll help you figure out the right roles, where to find great people, and what realistic compensation looks like. Then we'll map out next steps—if it feels like a fit, we're in.

Meet your dedicated recruiter. We'll dig into what great looks like for this role—skills, experience, culture fit, the works. We'll refine the job description together and make sure we're both crystal clear on who we're hunting for.
Our AI scans our pool of vetted candidates while our recruiters dig deeper. We match on skills, experience, and culture fit—not just keywords. You'll see the top prospects within 4 days.
Meet your shortlisted candidates. We'll coordinate schedules and handle the logistics. Most customers hire 1 out of every 3 candidates we endorse—we're here until you find your match.

Found a match? We'll handle the paperwork—offer letters, contracts, payroll setup. You focus on welcoming them to the team. We'll also help you create an onboarding plan that sets them up to hit the ground running.

Your new hire is up and running. Our Customer Success team stays with you for HR support, performance check-ins, and whatever else comes up as your team grows.

Athyna Intelligence is a specialized part of our platform that connects expert talent with companies that need support in training AI models. We match PhD and Master's-level professionals from Latin America with teams looking to build data sets, evaluate models, strengthen reasoning tasks, and accelerate AI development. It is a simple and fast way to scale AI training with vetted global talent.
You tell us what kind of AI training support you need, and our team sources, vets, and matches you with specialists who fit your requirements. Once matched, the talent joins your project and begins working on tasks such as data creation, annotation, model evaluation, or domain-specific reasoning. We handle onboarding, compliance, and ongoing support so you can focus on building a better model without operational hurdles.
We work with a curated network of researchers and advanced graduates across Brazil, Argentina, and all of LATAM. These specialists come from strong academic backgrounds in computer science, mathematics, engineering, NLP, and other fields that are essential for training high-quality AI systems.
Athyna talent can support a wide range of tasks, including data generation, annotation, model scoring, model evaluation, classification, reasoning benchmarks, prompt testing, and domain-specific tasks that require advanced knowledge. They can also support research-based workflows for more complex projects.
LATAM offers high-performing talent with strong academic foundations, excellent English, and competitive rates. Teams benefit from real-time collaboration due to close time zones with the United States, along with a cultural match that makes communication and teamwork easy. Many LATAM professionals also bring deep domain knowledge across areas like biology, law, economics, physics, and linguistics — ideal for companies training AI in specialized fields.
