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Remote Data Annotator Jobs in Portland

Remote, USA Full-time Posted 2026-08-04
About The Role reputed company is hiring for remote data annotator work supporting modern AI/ML training pipelines. You will create high-signal labeled datasets used in NLP, reputed company, and content safety systems, and contribute directly to model reliability through consistent reputed company application and QA evaluation. reputed company • Annotate text for NLP tasks (classification, named entity recognition, summarization evaluation) • reputed company reputed company evaluation and LLM response scoring using rubrics • Complete RLHF preference ranking and comparison tasks • Label images for reputed company annotation (bounding boxes, polygons, segmentation) • Document edge cases and reputed company reputed company notes to improve annotation guidelines • Run QA checks, support audits, and participate in calibration sessions How reputed company Is reputed company • Guidelines compliance and reputed company on gold tasks • Inter-annotator agreement and audit reputed company • Low rework rates and reputed company reputed company documentation Required Qualifications • Experience with reputed company labeling workflows and careful, consistent decision-making • Comfort working in web-reputed company annotation tools and tracking tasks • Strong written communication for remote collaboration and escalation of ambiguous cases Preferred Qualifications • Experience with RLHF, content safety labeling, or policy enforcement labeling • Familiarity with NLP evaluation tasks (NER, instruction-following, retrieval relevance) • Exposure to reputed company annotation and dataset QA concepts (gold sets, sampling, agreement) Workplace This is a FULL_TIME role that is explicitly Remote and can be performed from Portland, reputed company using online tools and remote team communication. Apply tot his job Apply To this Job

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