AI Prompt Engineer Jobs in Brazil

Rex.zone; Brasil; Remote; BRL 216,603 - 361,006; Full time

Job summary

A leading technology company in Brazil is seeking an AI Prompt Engineer to design and evaluate prompts for large language models. This remote role includes building and maintaining prompt libraries, running evaluations, and collaborating with cross-functional teams. The ideal candidate should have experience in prompt engineering, strong writing skills, and the ability to create clear guidelines. Compensation is between $30–$50 per hour based on experience.

Qualifications

• Production experience in prompt engineering and/or LLM evaluation programs.
• Strong writing, structured reasoning, and experiment design skills.
• Familiarity with NLP concepts and LLM failure modes.
• Ability to write clear annotation guidelines and QA checklists.
• Comfort collaborating remotely with cross‑functional stakeholders.

Responsibilities

• Build reusable prompt libraries, templates, and style guides.
• Run prompt evaluation, A/B tests, regression suites, and red‑teaming.
• Define evaluation criteria, QA rubrics, and scoring guidelines.
• Create RLHF‑ready artifacts.
• Analyze failure modes and iterate.
• Document experiments, metrics, and learnings.

Skills

Prompt engineering

NLP concepts

Writing skills

Experiment design

Collaboration

Tools

Python

SQL

Job description

AI Prompt Engineer Jobs in Brazil (Remote)

Design, test, and evaluate prompts and system instructions to improve large language model outputs for production workflows. You will build prompt libraries, run A/B tests, support RLHF-ready artifacts, and partner with engineering teams to ship reliable prompt templates for tools, agents, and RAG use cases.

Key Responsibilities

• Build reusable prompt libraries, templates, and style guides
• Run prompt evaluation, A/B tests, regression suites, and red‑teaming
• Define evaluation criteria, QA rubrics, and scoring guidelines
• Create RLHF‑ready artifacts (preference comparisons, prompt‑response pairs)
• Analyze failure modes (hallucinations, toxicity, policy violations) and iterate
• Document experiments, metrics, and learnings for repeatable improvements

Required Qualifications

• Production experience in prompt engineering and/or LLM evaluation programs
• Strong writing, structured reasoning, and experiment design skills
• Familiarity with NLP concepts and LLM failure modes
• Ability to write clear annotation guidelines and QA checklists
• Comfort collaborating remotely with cross‑functional stakeholders

Preferred

• RLHF / human‑in‑the‑loop evaluation and preference ranking experience
• RAG prompting, tool calling, or agentic workflow experience
• Python/SQL for analysis, telemetry, and experiment tracking
• Content safety, policy, and adversarial prompting exposure

Pay

$30–$50 per hour (base).