[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-stem-research-jobs-brazil":3},{"Ques":4,"Slug":25,"Header":26,"job_category":54},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19,22],{"A":8,"Q":9},"Yes. Remote Type is Remote, and the role is designed for distributed research and engineering collaboration.","Is this role remote?",{"A":11,"Q":12},"Yes. Employment Type is FULL_TIME.","Is this a full-time position?",{"A":14,"Q":15},"It refers to a STEM research-focused engineering role aligned with Brazil as the target job search keyword and audience intent, emphasizing applied research workflows for AI\u002FML training pipelines and evaluation.","What does “STEM Research Jobs in Brazil” mean in this posting?",{"A":17,"Q":18},"Common workflows include RLHF evaluation, prompt evaluation, QA evaluation, data labeling, named entity recognition, computer vision annotation, content safety labeling, and large language model evaluation tied to training data quality and model performance improvement.","What kinds of AI\u002FML tasks are involved?",{"A":20,"Q":21},"The role supports Technology organizations and can align with AI labs, tech startups, BPOs, and annotation vendors working on NLP, computer vision, and LLM training.","Which industries and teams does this support?",{"A":23,"Q":24},"Experience Level is Mid-Senior, with demonstrated capability in experimental design, data analysis, and research execution.","What experience level is expected?","stem-research-jobs-brazil",{"desc":27,"title":28,"content":29},"STEM Research Jobs in Brazil at Rex.zone focus on applied engineering and research workflows that strengthen AI\u002FML training pipelines, including data labeling, RLHF evaluation, prompt evaluation, QA evaluation, named entity recognition, computer vision annotation, and content safety labeling. In this full-time remote role, you will collaborate with engineering and research stakeholders to improve training data quality, annotation guidelines compliance, and large language model evaluation so teams can drive model performance improvement from real-world signals. Explore Rex.zone to apply, compare remote, contract, freelance, and full-time options, and align your work with AI labs, tech startups, and annotation vendors supporting NLP, computer vision, and LLM training.","STEM Research Jobs in Brazil",[30,33,36,39,42,45,48,51],{"h2":31,"desc":32},"Job Overview","Keyword: STEM research jobs Brazil — STEM Research Engineer (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: STEM research, experimental design, data analysis, Python, machine learning, statistical modeling, research documentation, literature review, reproducible research\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR",{"h2":34,"desc":35},"About the Role","You will support STEM research initiatives that connect engineering experimentation with AI\u002FML data operations. Your work will translate research questions into measurable studies, create datasets and evaluation protocols, and contribute to LLM training pipelines through RLHF evaluation, prompt evaluation, and QA evaluation. You will partner with cross-functional teams to define annotation guidelines, validate training data quality, and identify error patterns that affect model performance improvement across NLP and computer vision use cases.",{"h2":37,"desc":38},"Key Responsibilities","Design and run experiments that measure model behavior and data quality impacts.\nBuild and analyze datasets for named entity recognition, content safety labeling, and model evaluation.\nCreate clear annotation guidelines and ensure annotation guidelines compliance across contributors.\nExecute RLHF evaluation and prompt evaluation workflows; document rubrics and edge cases.\nPerform QA evaluation on labeled data and evaluations to reduce noise and bias.\nCollaborate with engineering teams to integrate findings into large language model evaluation and training iterations.\nMaintain reproducible research practices: versioning, documentation, and audit-ready artifacts.\nTrack metrics tied to training data quality, evaluator agreement, and model performance improvement.",{"h2":40,"desc":41},"Required Qualifications","Mid-Senior experience in STEM research, engineering R&D, or applied research.\nStrong experimental design, statistical reasoning, and data analysis skills.\nProficiency with Python and common data\u002Fscience tooling.\nAbility to write research documentation that is clear, testable, and reproducible.\nFamiliarity with machine learning fundamentals and evaluation methods.\nComfort working in remote environments with cross-functional stakeholders.",{"h2":43,"desc":44},"Preferred Qualifications","Experience with LLM training pipelines, RLHF, or human evaluation programs.\nExposure to data labeling operations, QA evaluation, or annotation vendor workflows.\nHands-on work with NLP tasks (e.g., named entity recognition) and\u002For computer vision annotation.\nExperience with content safety labeling and policy-driven evaluations.\nBackground working with AI labs, tech startups, BPOs, or annotation vendors supporting model development.",{"h2":46,"desc":47},"How You Will Work (Remote)","This is a Remote, FULL_TIME role with structured research milestones, written reviews, and metric-driven progress tracking. You will coordinate asynchronously, produce evaluation-ready datasets and reports, and support stakeholders who ship improvements into production model and data pipelines.",{"h2":49,"desc":50},"Compensation","Salary Range: 63360–126720 USD per year, depending on skills and experience, aligned to engineering and research impact in AI\u002FML workflows.",{"h2":52,"desc":53},"Apply on Rex.zone","Search Rex.zone for STEM research jobs Brazil and related remote roles across NLP, computer vision, content safety, and LLM training. You can also explore contract, freelance, entry-level, and senior variations to match your preferred scope and specialization.","Engineering"]