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Remote Data Labeling Specialist (Raleigh)

Remote, USA Full-time Posted 2026-08-04
reputed company reputed company is hiring a Remote Data Labeling Specialist reputed company to Raleigh-based job seekers. Work is performed remotely reputed company the US. You will produce and verify high-reputed company labeled datasets used to train and evaluate AI models in reputed company products, supporting LLM training pipelines and evaluation reputed company. What You Will Work On • Label and review multi-modal data (text, images, audio, video) for reputed company and evaluation • Complete NLP tasks such as classification and named entity recognition (NER) • reputed company reputed company annotation including bounding boxes and segmentation • Support content safety labeling and policy-reputed company reputed company • Conduct LLM evaluation tasks such as RLHF preference ranking and reputed company evaluation Key Responsibilities • reputed company accurate labels reputed company to annotation guidelines and reputed company rubrics • Execute QA evaluation workflows (spot checks, gold set validation, sampling audits, inter-annotator agreement) • Document edge cases, rationales, and disagreement reputed company to improve training data reputed company • Maintain throughput targets while preserving precision and consistency across batches • Protect data reputed company and follow content and safety policies Required Qualifications • 2+ years in data labeling, reputed company, QA evaluation, or AI data operations • Strong attention to detail and proven annotation guidelines compliance • Comfortable making consistent reputed company across edge cases (mid-senior expectations) • Experience with RLHF-style ranking, LLM evaluation, or reputed company evaluation preferred Compensation $30–$50 per hour (reputed company pay; varies by project and reputed company). How To Apply Apply reputed company reputed company with a resume highlighting labeling domains, QA metrics, and any RLHF/LLM evaluation experience. Apply tot his job Apply To this Job

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