AI Jobs in Mexico

Find top AI jobs in Mexico across machine learning, generative AI, and data roles. All opportunities are curated and updated hourly from companies hiring nationwide.

Check out 48 new AI opportunities posted on The Homebase

AI / ML Solutions Engineer

New
Top rated
Anyscale
Full-time
Full-time
Posted

The AI / ML Solutions Engineer at Anyscale is responsible for designing, implementing, and scaling machine learning and AI workloads using Ray and Anyscale directly with customers. This includes implementing production AI / ML workloads such as distributed model training, scalable inference and serving, and data preprocessing and feature pipelines. The role involves working hands-on with customer codebases to refactor or adapt existing workloads to Ray. The engineer advises customers on ML system architecture including application design for distributed execution, resource management and scaling strategies, and reliability, fault tolerance, and performance tuning. They guide customers through architectural and operational changes needed to adopt Ray and Anyscale effectively. Additionally, the engineer partners with customer MLE and MLOps teams to integrate Ray into existing platforms and workflows, supports CI/CD, monitoring, retraining, and operational best practices, and helps customers transition from experimentation to production-grade ML systems. They also enable customer teams through working sessions, design reviews, training delivery, and hands-on guidance, contribute feedback to product, engineering, and education teams, and help develop reference architectures, examples, and best practices based on real customer use cases.

Undisclosed

()

Maybe global
Remote

Software Engineer, macOS Core Product - Virginia Beach, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability, then design and implement solutions addressing the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Maybe global
Remote

Software Engineer, macOS Core Product - Rialto, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to their customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to gain visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Maybe global
Remote

Software Engineer, macOS Core Product - Waco, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability, and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Maybe global
Remote

Software Engineer, macOS Core Product - South Bend, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Maybe global
Remote

Mechanical Engineer with Python Experience - Freelance AI Trainer

New
Top rated
Mindrift
Part-time
Full-time
Posted

Design graduate- and industry-level mechanical engineering problems grounded in real practice. Evaluate AI-generated solutions for correctness, assumptions, and engineering logic. Validate analytical or numerical results using Python (NumPy, SciPy, Pandas). Improve AI reasoning to align with first principles and accepted engineering standards. Apply structured scoring criteria to assess multi-step problem solving.

$15 / hour
Undisclosed
HOUR

(USD)

Mexico
Maybe global
Remote

Freelance AI Trainer - Civil Engineering & Python

New
Top rated
Mindrift
Part-time
Full-time
Posted

Design technically rigorous civil engineering problems grounded in practice. Evaluate AI solutions for engineering accuracy and assumptions. Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs. Improve AI reasoning to align with codes, standards, and professional logic. Apply structured scoring criteria to assess model performance.

$15 – $15 / hour
Undisclosed
HOUR

(USD)

Mexico
Maybe global
Remote

Enterprise Account Executive - Italy

New
Top rated
Glean Work
Full-time
Full-time
Posted

The AI Outcomes Manager will partner with executive sponsors and end users to identify high-impact use cases and turn them into measurable business outcomes on Glean. They will lead strategic reviews and advise customers on their AI roadmap to ensure maximum value from Glean's platform. The role involves translating business needs into clear problem statements, success metrics, and practical AI solutions while collaborating with Product and R&D to shape priorities. They will conduct discovery workshops, scope pilots, and guide rollouts to drive broad and deep adoption of the Glean platform. Additionally, they will design and build AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability. The manager will proactively identify expansion opportunities and drive engagement across teams and functions.

$130,000 – $200,000
Undisclosed
YEAR

(USD)

Maybe global
Remote

Senior AI Engineer - San Mateo, CA

New
Top rated
Trustlab
Full-time
Posted

The role involves training, evaluating, and monitoring new and improved LLMs and other algorithmic models. The engineer will test and deploy content moderation models in production and iterate based on real-world performance metrics and feedback loops. They are expected to develop medium to long-term vision for content understanding-related R&D, collaborating with management, product, policy & operations, and engineering teams. The position requires taking ownership of results delivered to customers, advocating for changes in approach where needed, and leading cross-functional execution.

Undisclosed

()

Maybe global

MCP & Tools Python Developer - Agent Evaluation Infrastructure

New
Top rated
Mindrift
Part-time
Full-time
Posted

The role involves developing and maintaining MCP-compatible evaluation servers, implementing logic to check agent actions against scenario definitions, creating or extending tools used by writers and QAs to test agents, working closely with infrastructure engineers to ensure compatibility, and occasionally assisting with test writing or debug sessions.

$21 / hour
Undisclosed
HOUR

(USD)

Mexico
Maybe global
Remote

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Frequently Asked Questions

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[{"question":"What types of AI jobs are available in Mexico?","answer":"Mexico's AI job market features diverse roles aligned with the country's 148% surge in demand for AI skills between 2023 and 2025. Common positions include machine learning engineers, NLP specialists, computer vision developers, AI robotics engineers, and generative AI experts. Companies are particularly seeking professionals with expertise in specialized areas like data center engineering and liquid-cooling technology. Though Mexico's tech sector doesn't uniformly advertise standardized job titles, the demand follows global patterns in software development, data science, and AI infrastructure roles. Major tech hubs in Mexico City, Guadalajara, and Monterrey host most opportunities, with both domestic companies and multinational firms expanding their AI operations."},{"question":"Are there remote AI jobs available in Mexico?","answer":"While specific data on remote AI jobs in Mexico is limited, industry trends suggest a mixed landscape. On-site roles dominate in tech hubs like Mexico City, Guadalajara, and Monterrey, particularly for data center engineering and edge AI positions tied to 5G infrastructure development. These roles often require physical presence due to hardware management requirements. However, Mexico's growing AI sector likely includes remote opportunities in software development, machine learning implementation, and data science – especially as companies adapt to talent shortages by casting wider geographic nets. The 77% IT personnel deficit is pushing firms to consider flexible work arrangements to secure specialized AI talent across Mexico's regions."},{"question":"What skills are most in demand for AI jobs in Mexico?","answer":"Mexico's AI job market particularly values expertise in machine learning, natural language processing, generative AI, computer vision, and AI robotics. Prompt engineering skills command significant wage premiums as companies race to implement large language models. Technical specialists with data center engineering knowledge are especially sought after, with liquid-cooling expertise so scarce that companies often import contractors. Beyond technical capabilities, employers increasingly value EPOCH skills (empathy, presence, opinion, creativity, hope) that complement AI systems. Cloud infrastructure experience, Python programming, and familiarity with specific machine learning frameworks round out the technical requirements, while Spanish-English bilingualism offers additional advantages in Mexico's globally connected tech ecosystem."},{"question":"What is the salary range for AI jobs in Mexico?","answer":"AI job compensation in Mexico varies significantly based on expertise, seniority, and employer type. Senior engineers specializing in AI data centers can earn around MXN 65,000 monthly due to severe talent shortages. AI skills generally command substantial premiums – research indicates professionals with in-demand AI capabilities typically earn 25% more than colleagues in equivalent roles without these skills. Compensation grows faster in AI-exposed industries compared to traditional sectors. Location also influences pay, with Mexico City and Guadalajara tech hubs offering higher salaries than secondary markets. International companies typically pay premium rates to secure scarce talent amid the country's projected need for 15,000 additional AI specialists by 2030."},{"question":"What experience levels are companies hiring for in AI jobs in Mexico?","answer":"Mexico's AI job market currently favors experienced professionals due to acute talent shortages. Companies prioritize mid-career and senior specialists, sometimes importing contractors for specialized roles like data center engineering where local expertise is scarce. Entry-level hiring in AI-exposed fields has slowed, with data showing up to 20% employment declines for early-career professionals (ages 22-25) in software development through mid-2025. This contrasts with growth in opportunities for mid-career and senior roles. Organizations are investing in upskilling existing staff while simultaneously competing to attract experienced AI talent through competitive compensation packages, creating a challenging environment for newcomers seeking their first AI position in Mexico."},{"question":"How often are new AI jobs posted in Mexico?","answer":"While exact posting frequency metrics specific to Mexico aren't available, the country's 148% surge in AI skills demand between 2023-2025 indicates a rapidly growing job market. New positions emerge regularly as companies across industries implement AI solutions and compete for scarce talent. Mexico's projected need for 15,000 additional AI specialists by 2030 drives consistent posting activity. The acceleration of skill requirements in AI-exposed roles means job descriptions evolve quickly, with new specialized positions appearing as technologies mature. Tech hubs in Mexico City, Guadalajara, and Monterrey see the highest concentration of new listings, particularly in machine learning, generative AI, and data science roles serving both domestic needs and nearshoring opportunities."},{"question":"What is the difference between The Homebase and other job boards?","answer":"The Homebase distinguishes itself as an AI-specialized job platform, offering curated opportunities focused exclusively on artificial intelligence roles across Mexico's growing tech sector. Unlike general job boards that mix AI positions with unrelated listings, The Homebase provides targeted access to machine learning, NLP, computer vision, and generative AI opportunities. The platform offers deeper industry insights about Mexico's unique AI landscape, including salary benchmarks reflecting the 25%+ premium for AI skills and guidance on the 148% demand growth since 2023. For companies facing Mexico's 77% IT personnel deficit, The Homebase provides specialized recruitment tools designed specifically for technical AI hiring challenges in the Mexican market."}]