[Remote] AI Data Labeling Jobs Brazil

Note: The job is a remote job and is open to candidates in USA. Rex.zone is hiring for remote, full-time AI Data Labeling roles focused on training data creation and evaluation workflows for AI/ML systems. The role involves supporting LLM training pipelines and multimodal model development through consistent labeling and review.ResponsibilitiesLabel text, image, and/or multimodal data following detailed annotation guidelinesPerform RLHF tasks such as preference ranking and helpfulness/harmlessness evaluationsExecute QA evaluation (spot checks, consensus review, error categorization) to improve training data qualityConduct prompt evaluation and rubric-based scoring for instruction tuning and LLM evaluationDocument edge cases, propose clarifications, and contribute to feedback loops that improve model performanceSupport NLP labeling (intent, sentiment, toxicity, topic, summarization quality)Perform named entity recognition and entity linkingConduct content safety labeling for policy compliance and risk mitigationPerform computer vision annotation (bounding boxes, polygons, keypoints)Conduct grounding checks, reasoning quality ratings, and refusal/safety assessmentsSkillsExperience in data annotation or QA evaluation in production workflowsStrong annotation guideline compliance, accuracy, and consistencyComfort with structured labeling schemas and rubric-based scoringAbility to work independently in a remote environment and meet throughput targetsExposure to RLHF, prompt evaluation, LLM evaluation, NER, content safety, or computer vision annotationFamiliarity with inter-annotator agreement, sampling-based QA, audits, and error analysisCompany OverviewRemoExperts (by Abaka AI) is a global platform where skilled professionals and tutors contribute to AI training across video, image, audio, text, code, math, and more. It was founded in 2025, and is headquartered in Palo Alto, California, US, with a workforce of 201-500 employees. Its website is https://www.remoexperts.com.



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