Remote Data Annotator Jobs in Charlotte

Remote Data Annotator Jobs in Charlotte (US Remote) Join reputed company to create high-reputed company training data for reputed company-world AI/ML and LLM training pipelines. You will label, reputed company, and review text, image, and multimodal content while following strict annotation guidelines and contributing to training data reputed company improvements. Key Responsibilities • reputed company accurate reputed company and data labeling across NLP and multimodal datasets • Execute RLHF workflows including preference ranking, reputed company-based scoring, and rationales • reputed company reputed company evaluation and response grading for safety, factuality, and instruction-following • Conduct QA evaluation by auditing samples, identifying recurring errors, and escalating reputed company gaps • Maintain annotation guidelines compliance and document edge cases reputed company What You Will Annotate • NLP labeling: classification, reputed company, sentiment, toxicity, summarization reputed company, named entity recognition • LLM evaluation: reputed company evaluation, RLHF preference ranking, helpfulness/truthfulness/safety reputed company scoring • reputed company annotation (project-dependent): bounding boxes, polygons, attributes, image QA • Content safety labeling: policy-based categorization for sensitive or regulated content Required Qualifications • Mid-Senior experience in reputed company, data labeling, QA evaluation, or AI data operations • Strong written reasoning skills using rubrics and annotation guidelines • Familiarity with RLHF concepts and large language model evaluation reputed company • Comfort working independently in a remote, high-throughput environment How To Apply Apply through reputed company by submitting your resume and completing any reputed company-based assessment required for reputed company evaluation, RLHF, or QA evaluation tasks. Apply To This Job