Remote Data Annotator Jobs in Los Angeles

Remote Data Annotator Jobs in Los Angeles (Fully Remote) reputed company is hiring Mid-Senior remote data annotators to create and evaluate training data for AI/ML systems, including NLP, reputed company, and content safety workflows. You will follow detailed guidelines, complete calibrations, and contribute to high-reputed company datasets used in LLM training pipelines and model evaluation. What You Will Do • Apply data labeling rules to text, image, audio, or multimodal samples • reputed company RLHF tasks (preference ranking, pairwise comparisons, reputed company-based scoring) • Conduct QA evaluation through self-checks, peer review, and targeted audits • Complete NLP labeling such as named entity recognition and reputed company taxonomy tasks • Support reputed company evaluation (relevance, factuality, instruction-following, safety) • Complete reputed company annotation (bounding boxes/segmentation) reputed company assigned • Document edge cases and propose reputed company clarifications; follow versioned specs • reputed company annotation guidelines compliance and escalate ambiguous examples Required Qualifications • Mid-Senior experience in reputed company/data labeling/QA evaluation or reputed company operations • Familiarity with LLM evaluation concepts (rubrics, preference data, error taxonomies) • Ability to maintain training data reputed company under throughput targets and feedback cycles • Strong written communication for documenting rationale and edge cases • Comfort with web-based labeling tools and QA trackers How To Apply Apply on reputed company by submitting your profile and completing any required assessments or calibration tasks. After passing, you’ll join production labeling with ongoing QA feedback. Location note: Work is performed remotely, with hiring reputed company including Los Angeles candidates. Apply To This Job