Most In Demand STEM Jobs Brazil (Remote, Full-Time)
Rex.zone · United States
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- Hybrid
- Full-time
- $120,000 / year
- United States
Job highlights
- Build AI systems and LLM pipelines.
- Evaluate model performance and data quality.
- Work with RLHF, prompt, and QA evaluation.
- Ensure compliance with annotation guidelines.
- Harden cloud environments for AI/ML.
About the role
Overview
Rex.zone highlights the most in-demand STEM roles for teams building modern AI systems, including work tied to LLM training pipelines, RLHF evaluation, prompt evaluation, QA evaluation, and data labeling. Roles are Remote and FULL_TIME, typically Mid-Senior level.
In-demand roles you may match
- Machine Learning Engineer
- Data Engineer
- Software Engineer
- Cloud Engineer
- Cybersecurity Engineer
- Computer Vision Engineer
- NLP Engineer
Common Responsibilities (vary By Role)
- Build and operate production systems for AI/ML delivery and evaluation
- Improve model performance through data-centric iteration and offline/online metrics
- Support LLM evaluation loops (rubric scoring, QA evaluation, prompt evaluation)
- Partner with labeling teams/vendors to ensure annotation guidelines compliance
- Harden reliability, observability, security, and cost controls in cloud environments
About AI/ML Workflow Alignment
These roles often intersect with RLHF, evaluation pipelines, content safety labeling, NER, CV annotation, and dataset quality practices to improve training data and model outcomes.
Key skills/competency
- Machine Learning Engineer
- Data Engineer
- Software Engineer
- Cloud Engineer
- Cybersecurity Engineer
- Computer Vision Engineer
- NLP Engineer
- LLM
- RLHF
- Prompt Evaluation
Skills & topics
- Machine Learning Engineer
- Data Engineer
- Software Engineer
- Cloud Engineer
- Cybersecurity Engineer
- Computer Vision Engineer
- NLP Engineer
- AI
- LLM
- RLHF
- Remote
- Full-Time
- STEM
- Brazil
How to get hired
- Tailor your resume: Highlight AI/ML, LLM, and cloud experience.
- Showcase relevant projects: Detail your contributions to STEM roles.
- Prepare for technical interviews: Brush up on ML, data, and cloud concepts.
- Understand Rex.zone's mission: Align your application with their AI focus.
- Highlight remote work skills: Emphasize communication and self-management.
Technical preparation
Master ML, data engineering, and cloud concepts.,Practice LLM, RLHF, and evaluation techniques.,Build projects showcasing AI/ML system delivery.,Familiarize with cloud security and cost controls.
Behavioral questions
Describe a complex AI system you built.,How do you ensure data quality for AI?,How do you handle remote collaboration challenges?,Tell us about a time you improved model performance.
Frequently asked questions
- What STEM roles are available at Rex.zone?
- Rex.zone is hiring for in-demand STEM roles related to building modern AI systems. This includes positions like Machine Learning Engineer, Data Engineer, Software Engineer, Cloud Engineer, Cybersecurity Engineer, Computer Vision Engineer, and NLP Engineer. These roles often involve LLM training pipelines, RLHF evaluation, prompt evaluation, QA evaluation, and data labeling.
- Are these STEM jobs at Rex.zone remote?
- Yes, all STEM roles at Rex.zone are fully remote. This allows you to work from anywhere while contributing to cutting-edge AI systems.
- What is the typical seniority level for Rex.zone STEM jobs?
- The STEM roles at Rex.zone are typically for mid-senior level professionals. This means they are looking for candidates with a solid foundation of experience and the ability to work independently on complex projects.
- What kind of AI/ML work can I expect at Rex.zone?
- At Rex.zone, you can expect to be involved in building and operating production systems for AI/ML delivery and evaluation. This includes supporting LLM evaluation loops, improving model performance through data iteration, and ensuring annotation guideline compliance. The work often intersects with RLHF, evaluation pipelines, and dataset quality practices.
- How can I best prepare my application for Rex.zone?
- To best prepare your application for Rex.zone, focus on highlighting your experience in AI/ML, LLM development, and cloud environments. Tailor your resume to match the specific responsibilities mentioned, such as LLM training, evaluation, and data labeling. Demonstrating your understanding of AI/ML workflow alignment and your ability to work effectively in a remote, full-time capacity will also be beneficial.