[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-highest-paying-stem-jobs-brazil":3},{"Ques":4,"Slug":25,"Header":26,"job_category":45},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19,22],{"A":8,"Q":9},"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.","What are the highest paying STEM jobs in Brazil for remote full-time work?",{"A":11,"Q":12},"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.","Are these roles on Rex.zone remote and full-time?",{"A":14,"Q":15},"Yes. Even when the title is not strictly AI-specific, these jobs commonly support AI\u002FML delivery through LLM training pipelines, model evaluation, prompt evaluation tooling, training data quality controls, QA evaluation automation, and content safety labeling workflows.","Do these STEM roles relate to AI\u002FML training workflows like RLHF and evaluation?",{"A":17,"Q":18},"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.","What skills should I highlight to rank for these jobs and pass screening?",{"A":20,"Q":21},"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.","Do I need to be located in Brazil to apply?",{"A":23,"Q":24},"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.","How should I prepare for interviews for these remote STEM roles?","highest-paying-stem-jobs-brazil",{"desc":27,"title":28,"content":29},"Explore highest paying STEM jobs in Brazil on Rex.zone, focused on remote, full-time Engineering roles that power AI\u002FML 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.","Highest Paying STEM Jobs in Brazil",[30,33,36,39,42],{"h2":31,"desc":32},"Senior Software Engineer (Remote, Brazil)","Title: Senior Software Engineer (Remote, Brazil)\nDate: 25-02-2026\nCompany: Rexzone\nCountry: US\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: Software Engineering, Distributed Systems, Backend Development, API Design, Microservices, System Design, Cloud Computing, CI\u002FCD\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR\n\nBuild 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.\n\nKey responsibilities:\n- Design, implement, and maintain backend services, APIs, and data-driven features\n- Own system design for scalability, observability, and fault tolerance\n- Partner with ML and data teams on pipelines that support LLM training pipelines and evaluation jobs\n- Drive code quality through reviews, testing, and CI\u002FCD\n\nQualifications:\n- Strong experience in backend or full-stack engineering and system design\n- Proficiency in at least one backend language (e.g., Java, Go, Python, Node.js)\n- Experience with cloud infrastructure and distributed systems\n- Ability to collaborate asynchronously in a remote, global environment\n\nHow to apply:\nApply via Rex.zone with an updated resume and links to relevant projects (GitHub, portfolio, or case studies).",{"h2":34,"desc":35},"Machine Learning Engineer (Remote, Brazil)","Title: Machine Learning Engineer (Remote, Brazil)\nDate: 25-02-2026\nCompany: Rexzone\nCountry: US\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: Machine Learning, Deep Learning, LLMs, Model Evaluation, RLHF, Feature Engineering, MLOps, Python\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR\n\nDevelop, 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.\n\nKey responsibilities:\n- Build training and evaluation pipelines for ML models, including LLM evaluation harnesses\n- Define metrics, run offline\u002Fonline experiments, and interpret results\n- Collaborate with data labeling teams on annotation guidelines compliance and error analysis\n- Productionize models with MLOps best practices (monitoring, retraining, rollback)\n\nQualifications:\n- Proven experience shipping ML features into production\n- Strong Python skills and familiarity with modern ML stacks\n- Experience with evaluation methodologies, prompt testing, and dataset curation\n- Understanding of responsible AI, content safety labeling, and data governance is a plus\n\nHow to apply:\nApply on Rex.zone and include examples of ML projects, publications, or measurable impact.",{"h2":37,"desc":38},"Data Engineer (Remote, Brazil)","Title: Data Engineer (Remote, Brazil)\nDate: 25-02-2026\nCompany: Rexzone\nCountry: US\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: Data Engineering, ETL, Data Warehousing, SQL, Spark, Python, Data Pipelines, Data Quality\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR\n\nOwn end-to-end data pipelines that enable analytics, experimentation, and AI training workflows. You will build reliable ETL\u002FELT systems, enforce data quality checks, and help teams generate trusted datasets for tasks like named entity recognition, QA evaluation, and model evaluation.\n\nKey responsibilities:\n- Build and maintain batch and streaming data pipelines\n- Implement data validation, lineage, and training data quality controls\n- Model data for warehousing and analytics consumption\n- Partner with ML and annotation operations on dataset design and refresh cycles\n\nQualifications:\n- Strong SQL and experience building ETL\u002FELT pipelines in production\n- Proficiency in Python and distributed processing (e.g., Spark)\n- Knowledge of data warehousing patterns and data modeling\n- Experience with data quality monitoring and incident response\n\nHow to apply:\nSubmit your application on Rex.zone with details on pipeline scale, tooling, and outcomes.",{"h2":40,"desc":41},"Cloud DevOps Engineer (Remote, Brazil)","Title: Cloud DevOps Engineer (Remote, Brazil)\nDate: 25-02-2026\nCompany: Rexzone\nCountry: US\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: DevOps, Cloud Infrastructure, Kubernetes, Terraform, CI\u002FCD, Observability, Site Reliability, Security Best Practices\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR\n\nScale 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.\n\nKey responsibilities:\n- Build and operate Kubernetes-based platforms and CI\u002FCD pipelines\n- Automate infrastructure with IaC and standardize environments\n- Implement monitoring, logging, alerting, and incident response playbooks\n- Partner with engineering teams to improve reliability, release safety, and performance\n\nQualifications:\n- Experience operating production cloud environments and container orchestration\n- Strong hands-on skills with Terraform and CI\u002FCD systems\n- Familiarity with SRE principles, SLIs\u002FSLOs, and operational excellence\n- Understanding of security controls for remote-first organizations\n\nHow to apply:\nApply through Rex.zone and include details on systems you’ve operated and reliability improvements delivered.",{"h2":43,"desc":44},"Cybersecurity Engineer (Remote, Brazil)","Title: Cybersecurity Engineer (Remote, Brazil)\nDate: 25-02-2026\nCompany: Rexzone\nCountry: US\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: Cybersecurity, Threat Modeling, Application Security, Cloud Security, Incident Response, IAM, Vulnerability Management, Security Monitoring\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR\n\nProtect 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.\n\nKey responsibilities:\n- Perform threat modeling and design security controls for services and APIs\n- Improve application security and secure-by-default engineering practices\n- Monitor, triage, and respond to security incidents and alerts\n- Partner with platform teams on IAM, secrets management, and cloud hardening\n\nQualifications:\n- Experience in application security, cloud security, or detection\u002Fresponse\n- Strong understanding of common vulnerabilities and mitigation strategies\n- Familiarity with IAM patterns and least-privilege access\n- Ability to communicate risk clearly to engineering and business stakeholders\n\nHow to apply:\nApply on Rex.zone and share examples of security programs, detections, or remediation work you’ve led.","Engineering"]