Entry Level AI Jobs in Brazil (Remote)

Summary

Rex.zone connects remote contributors with production AI/ML data operations work that supports LLM training pipelines. In this remote, full-time role, you will produce and validate training data used to improve large language model evaluation and downstream model performance.

Responsibilities

• Deliver accurate data labeling aligned to annotation guidelines and project rubrics
• Perform QA evaluation using checklists to catch schema errors, guideline deviations, and low-confidence labels
• Complete prompt evaluation and RLHF tasks by comparing model outputs, ranking responses, and writing short justifications when required
• Maintain consistent training data quality across large batches and escalate edge cases with clear examples
• Track work in project tools, meet throughput targets, and provide well-documented feedback to support model performance improvement
• RLHF preference ranking and conversational AI evaluation
• NLP labeling (classification, named entity recognition)
• Computer vision annotation (bounding boxes, polygons, segmentation masks)
• Content safety labeling for policy compliance and safer model behavior

Skills

• Comfort working with structured rubrics, examples, and guideline compliance
• Strong attention to detail for QA evaluation and training data quality checks
• Ability to reason about language and intent for NLP tasks (e.g., NER, classification)
• Basic familiarity with AI/ML concepts such as large language models, RLHF, and evaluation datasets

Qualifications

Must Haves

• Comfort working with structured rubrics, examples, and guideline compliance
• Strong attention to detail for QA evaluation and training data quality checks
• Ability to reason about language and intent for NLP tasks (e.g., NER, classification)
• Basic familiarity with AI/ML concepts such as large language models, RLHF, and evaluation datasets