STEM Engineer (Brazil)

STEM Jobs in Brazil — Remote Full-Time Engineering Roles

Rex.zone connects Mid-Senior engineers and technical professionals with Remote, FULL_TIME roles supporting modern technology delivery and AI/ML training workflows. You will contribute to data labeling, RLHF evaluation, prompt evaluation, QA evaluation, and measurable model performance improvement.

About The Role

You will deliver engineering work tied to Brazil-focused hiring needs while operating as a remote, full-time contributor. Projects may include building and maintaining data pipelines for training data quality, implementing annotation tooling, running QA evaluation, and supporting RLHF evaluation workflows used in large language model evaluation.

Key Responsibilities

• Own engineering deliverables across data systems, ML support tooling, and evaluation workflows
• Design and operate scalable pipelines for data labeling and content safety labeling
• Implement automated QA checks, sampling plans, and audit trails for evaluation datasets
• Support prompt evaluation, rubric design, and measurement for LLM evaluation
• Partner with AI labs, tech startups, BPOs, and annotation vendors to align outputs to project KPIs
• Document systems, test plans, and operational runbooks to ensure repeatability and compliance

Required Qualifications

• Mid-Senior experience delivering production engineering work
• Strong Python skills and ability to build maintainable services and data pipelines
• Familiarity with ML concepts including NLP, computer vision, and large language model evaluation
• Understanding of data labeling, annotation guidelines compliance, and training data quality
• Experience with QA evaluation methods, error analysis, and metrics-driven iteration
• Strong written communication and ability to work effectively in remote teams

Preferred Qualifications

• Experience supporting RLHF evaluation or preference data workflows
• Exposure to prompt evaluation and rubric-based scoring for LLM training pipelines
• Experience with dataset versioning, governance, and auditability
• Familiarity with content safety labeling and policy-driven annotation
• Experience collaborating with annotation vendors and distributed operations teams

How To Apply

Search Rex.zone for

"STEM Jobs in Brazil"

to view current Remote, FULL_TIME openings. Apply with a resume highlighting engineering impact, ML-adjacent systems, data labeling or evaluation experience, and examples of improving model performance through better training data quality.

Compensation:

$30–$50 per hour (HOURLY).