Remote Machine Learning Jobs

Remote Machine Learning and AI job offers. Predictive models, NLP, computer vision and more.

1831 ofertas disponibles $5,000 - $15,000 USD/mes
Skills relacionados:
Python Tensorflow Pytorch Data Science
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Sobre trabajos de Machine Learning

Remote Machine Learning and AI job offers. Predictive models, NLP, computer vision and more. En RemoteJobs.lat conectamos a profesionales de Latinoamerica con empresas que ofrecen trabajo 100% remoto. Todas nuestras ofertas permiten trabajar desde cualquier ciudad, con pagos en dolares o moneda internacional.

Rango salarial

$5,000 - $15,000 USD/mes

Posiciones abiertas

1831

Ubicacion

100% Remoto LATAM

Tip: Tambien puedes buscar ofertas en skills relacionados como Python,

Machine Learning salary ranges by seniority

Estimated ranges in USD/month for remote contracts with international companies. Vary by company, complementary stack and client location.

Level Years of experience Range USD/month
Junior 0-2 $5,000 - $7,500
Mid-level 2-4 $7,000 - $10,500
Senior 4-7 $10,000 - $13,500
Lead/Staff 7+ $12,500 - $15,000

Companies hiring remote Machine Learning from LATAM

Some companies that have historically hired Machine Learning profiles to work 100% remotely from Latin America:

Mercado Libre Globant Auth0 Nubank Cloudwalk Stripe GitLab Crossover Toptal

Frequently asked questions

The typical range for a remote Machine Learning working for international companies is $5,000 - $15,000 USD/mes. The exact amount depends on seniority, the company's country, and whether the contract is full-time or project-based.

The most in-demand Machine Learning profiles usually combine Python, Tensorflow, Pytorch. Adding one of these opens more job offers and often increases salary range by 15% to 30%.

For US/EU companies yes: B2 minimum for technical interviews. There are alternatives at LATAM companies (Mercado Libre, Globant, Rappi) or agencies like Toptal where intermediate English is enough to start.

The 3 highest-impact things: (1) a public GitHub with 2-3 solid projects relevant to Machine Learning, (2) an English LinkedIn profile optimized for recruiters, and (3) applying to 20+ offers per week instead of 2-3.