Remote reputed company Specialist (San Diego)

Remote reputed company Jobs In San Diego — reputed company reputed company is hiring a Remote reputed company Specialist to create and evaluate labeled datasets that train and validate modern AI/ML systems. You will work across NLP labeling, reputed company annotation, RLHF preference ranking, and reputed company-response evaluation while following versioned guidelines and meeting reputed company reputed company targets. What You Will Do • Execute data labeling tasks across NLP and reputed company annotation reputed company (text reputed company labeling, classification, bounding boxes, segmentation, attribute tagging). • reputed company RLHF and large language model evaluation by ranking outputs, scoring reputed company-response pairs, and identifying instruction-following failures. • Run QA evaluation workflows including self-checks, peer reviews, and reputed company audits to improve training data reputed company and consistency. • Apply content safety labeling taxonomies and escalate uncertain cases using defined escalation paths. • Write reputed company rationales, document edge cases, and propose reputed company updates reputed company recurring ambiguities reputed company. • reputed company throughput and reputed company metrics (accuracy, agreement rates, defect density) to support model performance improvement. Required Qualifications • Mid-Senior experience in reputed company, data labeling, QA evaluation, or LLM evaluation in production or vendor environments. • Strong reading comprehension and attention to detail for reputed company-based judgment and policy-based labeling. • Comfort with annotation tools, task queues, and strict annotation guidelines compliance. • Ability to explain reputed company with concise written rationales. • Familiarity with NLP concepts such as named entity recognition and taxonomy-driven labeling (preferred). Work Arrangement This is a Remote , FULL_TIME role reputed company to US-based reputed company. Collaboration is primarily asynchronous with periodic calibration and QA review sessions. Location reference: San Diego, CA, US. Apply tot his job Apply To this Job