Highest Paying STEM Jobs in Brazil

Explore highest paying STEM jobs in Brazil on Rex.zone, focused on remote, full-time Engineering roles that power AI/ML and software delivery across global teams. These job postings map to search-recognizable STEM entities such as software engineering, machine learning engineering, data engineering, cloud engineering, cybersecurity, and DevOps, with real-world workflows like LLM training pipelines, RLHF evaluation, training data quality, QA automation, and production reliability. Use this page to compare responsibilities, required skills, and compensation ranges, then apply directly through Rex.zone for remote opportunities aligned to Brazil-based talent working with US-based companies.

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Senior Software Engineer (Remote, Brazil)

Title: Senior Software Engineer (Remote, Brazil) Date: 25-02-2026 Company: Rexzone Country: US Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Software Engineering, Distributed Systems, Backend Development, API Design, Microservices, System Design, Cloud Computing, CI/CD Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR Build and scale production-grade services used by data and AI platforms, including model evaluation tooling and training workflow orchestration. You will design backend systems, optimize latency and reliability, and collaborate with product, QA, and ML teams to ship features that improve model performance improvement and user-facing outcomes. Key responsibilities: • Design, implement, and maintain backend services, APIs, and data-driven features • Own system design for scalability, observability, and fault tolerance • Partner with ML and data teams on pipelines that support LLM training pipelines and evaluation jobs • Drive code quality through reviews, testing, and CI/CD Qualifications: • Strong experience in backend or full-stack engineering and system design • Proficiency in at least one backend language (e.g., Java, Go, Python, Node.js) • Experience with cloud infrastructure and distributed systems • Ability to collaborate asynchronously in a remote, global environment How to apply: Apply via Rex.zone with an updated resume and links to relevant projects (GitHub, portfolio, or case studies).

Machine Learning Engineer (Remote, Brazil)

Title: Machine Learning Engineer (Remote, Brazil) Date: 25-02-2026 Company: Rexzone Country: US Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Machine Learning, Deep Learning, LLMs, Model Evaluation, RLHF, Feature Engineering, MLOps, Python Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR Develop, evaluate, and deploy ML systems with an emphasis on large language model evaluation, prompt evaluation, and RLHF-aligned workflows. You will collaborate across engineering and data operations to improve training data quality, reduce model regressions, and increase model performance improvement through disciplined experimentation. Key responsibilities: • Build training and evaluation pipelines for ML models, including LLM evaluation harnesses • Define metrics, run offline/online experiments, and interpret results • Collaborate with data labeling teams on annotation guidelines compliance and error analysis • Productionize models with MLOps best practices (monitoring, retraining, rollback) Qualifications: • Proven experience shipping ML features into production • Strong Python skills and familiarity with modern ML stacks • Experience with evaluation methodologies, prompt testing, and dataset curation • Understanding of responsible AI, content safety labeling, and data governance is a plus How to apply: Apply on Rex.zone and include examples of ML projects, publications, or measurable impact.

Data Engineer (Remote, Brazil)

Title: Data Engineer (Remote, Brazil) Date: 25-02-2026 Company: Rexzone Country: US Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Data Engineering, ETL, Data Warehousing, SQL, Spark, Python, Data Pipelines, Data Quality Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR Own end-to-end data pipelines that enable analytics, experimentation, and AI training workflows. You will build reliable ETL/ELT systems, enforce data quality checks, and help teams generate trusted datasets for tasks like named entity recognition, QA evaluation, and model evaluation. Key responsibilities: • Build and maintain batch and streaming data pipelines • Implement data validation, lineage, and training data quality controls • Model data for warehousing and analytics consumption • Partner with ML and annotation operations on dataset design and refresh cycles Qualifications: • Strong SQL and experience building ETL/ELT pipelines in production • Proficiency in Python and distributed processing (e.g., Spark) • Knowledge of data warehousing patterns and data modeling • Experience with data quality monitoring and incident response How to apply: Submit your application on Rex.zone with details on pipeline scale, tooling, and outcomes.

Cloud DevOps Engineer (Remote, Brazil)

Title: Cloud DevOps Engineer (Remote, Brazil) Date: 25-02-2026 Company: Rexzone Country: US Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: DevOps, Cloud Infrastructure, Kubernetes, Terraform, CI/CD, Observability, Site Reliability, Security Best Practices Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR Scale and secure cloud infrastructure that supports high-throughput engineering and AI workloads, including dataset processing and LLM training pipelines. You will improve deployment velocity, reliability, and cost efficiency while enforcing best practices in observability and platform security. Key responsibilities: • Build and operate Kubernetes-based platforms and CI/CD pipelines • Automate infrastructure with IaC and standardize environments • Implement monitoring, logging, alerting, and incident response playbooks • Partner with engineering teams to improve reliability, release safety, and performance Qualifications: • Experience operating production cloud environments and container orchestration • Strong hands-on skills with Terraform and CI/CD systems • Familiarity with SRE principles, SLIs/SLOs, and operational excellence • Understanding of security controls for remote-first organizations How to apply: Apply through Rex.zone and include details on systems you’ve operated and reliability improvements delivered.

Cybersecurity Engineer (Remote, Brazil)

Title: Cybersecurity Engineer (Remote, Brazil) Date: 25-02-2026 Company: Rexzone Country: US Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Cybersecurity, Threat Modeling, Application Security, Cloud Security, Incident Response, IAM, Vulnerability Management, Security Monitoring Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR Protect systems, data, and AI-enabled products by implementing practical security controls across the SDLC and cloud environments. You will help secure data labeling platforms, evaluation tools, and production systems through threat modeling, vulnerability management, and incident response aligned with modern remote operations. Key responsibilities: • Perform threat modeling and design security controls for services and APIs • Improve application security and secure-by-default engineering practices • Monitor, triage, and respond to security incidents and alerts • Partner with platform teams on IAM, secrets management, and cloud hardening Qualifications: • Experience in application security, cloud security, or detection/response • Strong understanding of common vulnerabilities and mitigation strategies • Familiarity with IAM patterns and least-privilege access • Ability to communicate risk clearly to engineering and business stakeholders How to apply: Apply on Rex.zone and share examples of security programs, detections, or remediation work you’ve led.

Frequently Asked Questions

  • Q: What are the highest paying STEM jobs in Brazil for remote full-time work?

    Common high-paying STEM roles for Brazil-based talent in remote, full-time US-company settings include Senior Software Engineer, Machine Learning Engineer, Data Engineer, Cloud DevOps Engineer, and Cybersecurity Engineer. Pay varies by scope, seniority, and impact on production systems.

  • Q: Are these roles on Rex.zone remote and full-time?

    Yes. Each job listed is explicitly marked Remote and FULL_TIME in the LinkedIn-compatible metadata and is presented as a remote-first opportunity via Rex.zone.

  • Q: Do these STEM roles relate to AI/ML training workflows like RLHF and evaluation?

    Yes. Even when the title is not strictly AI-specific, these jobs commonly support AI/ML delivery through LLM training pipelines, model evaluation, prompt evaluation tooling, training data quality controls, QA evaluation automation, and content safety labeling workflows.

  • Q: What skills should I highlight to rank for these jobs and pass screening?

    Highlight keyword-aligned technical skills (e.g., distributed systems, ML, MLOps, ETL, Kubernetes, cloud security) plus evidence of production impact: reliability improvements, cost reductions, model performance improvement, and strong collaboration in remote teams.

  • Q: Do I need to be located in Brazil to apply?

    This page targets Brazil-based candidates searching for highest paying STEM jobs in Brazil, but eligibility depends on each role’s hiring and compliance constraints. Review the role details on Rex.zone and apply if you match the requirements.

  • Q: How should I prepare for interviews for these remote STEM roles?

    Prepare for system design, coding, and practical problem-solving relevant to the role, plus behavioral questions focused on remote execution. For ML roles, be ready to discuss evaluation methodology, dataset curation, RLHF concepts, and how you measure and improve model quality.

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