[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-data-labeling-job":3},{"Slug":4,"Header":5,"Ques":30,"job_category":51},"ai-data-labeling-job",{"desc":6,"title":7,"content":8},"The AI Data Labeling job at Rex.zone is an entity-focused role powering real-world AI\u002FML training workflows. As a data annotation specialist, you will perform RLHF tasks, QA evaluation, prompt evaluation, named entity recognition (NER), computer vision annotation, and content safety labeling—all integral to large language model training pipelines. This role supports remote, contract, freelance, and full-time opportunities across NLP, computer vision, and LLM training domains. Join Rex.zone to improve training data quality, ensure annotation guidelines compliance, and drive model performance improvement while collaborating with AI labs, tech startups, BPOs, and annotation vendors.","AI Data Labeling Job",[9,12,15,18,21,24,27],{"h2":10,"desc":11},"Key Responsibilities","Execute high-quality data labeling across NLP, computer vision, and content safety. Perform RLHF tasks, prompt evaluation, and LLM evaluation to optimize model behavior. Apply annotation guidelines compliance, conduct QA reviews, and report issues. Contribute to training data quality, taxonomy development, and edge-case resolution. Maintain productivity targets, accuracy benchmarks, and timely delivery in remote or hybrid settings.",{"h2":13,"desc":14},"Required Qualifications","Experience with data labeling platforms and annotation tools (bounding boxes, polygons, text spans, sentiment). Familiarity with NER, classification, sequence tagging, and image\u002Fvideo annotation. Understanding of LLM training pipelines, RLHF workflows, and quality assurance. Strong attention to detail, communication, and the ability to follow structured guidelines. English proficiency; additional languages are a plus.",{"h2":16,"desc":17},"Preferred Skills","Background in NLP, computer vision, or content moderation. Knowledge of prompt engineering and evaluation, ontology design, and dataset curation. Exposure to large language model evaluation, model performance metrics, and error analysis. Experience with BPO operations, vendor coordination, or crowdsourcing best practices.",{"h2":19,"desc":20},"Workflows & Tools","Use Rex.zone’s annotation suite for text, image, video, and policy tasks. Collaborate via standardized instructions, golden sets, and inter-annotator agreement checks. Apply QA evaluation with audits, sampling, and consensus. Utilize task queues, productivity dashboards, and feedback loops for continuous improvement.",{"h2":22,"desc":23},"Employment Types","Opportunities include remote, contract, freelance, full-time, part-time, and entry-level to senior tracks. Roles span NLP labeling, computer vision annotation, content safety labeling, and LLM training support for AI labs, tech startups, BPOs, and annotation vendors.",{"h2":25,"desc":26},"Why Rex.zone","Work with a platform built for scalable AI training. Competitive rates, reliable work pipelines, and skill growth across domains. Join a global community contributing to ethical AI, model performance improvement, and production-grade data quality.",{"h2":28,"desc":29},"How to Apply","Submit your profile on Rex.zone with domain preferences (NLP, CV, content safety), availability (remote, freelance, full-time), and sample annotations. Qualified candidates will complete a brief skills assessment and onboarding to start receiving tasks.",{"title":31,"content":32},"AI Data Labeling Job FAQs",[33,36,39,42,45,48],{"A":34,"Q":35},"You will annotate text, images, and videos; perform RLHF pairwise comparisons; evaluate prompts; conduct NER; and complete content safety labeling while following detailed guidelines and QA processes.","What does an AI Data Labeling job involve at Rex.zone?",{"A":37,"Q":38},"Yes. Rex.zone offers remote roles across contract, freelance, part-time, and full-time engagements, with global availability depending on project requirements.","Is this role remote?",{"A":40,"Q":41},"We support NLP labeling, computer vision annotation, content safety moderation, and LLM training pipelines, including large language model evaluation and prompt testing.","Which domains are available?",{"A":43,"Q":44},"Attention to detail, guideline compliance, familiarity with annotation tools, and basic understanding of AI\u002FML workflows. Entry-level applicants can learn via platform training.","What skills are required to get started?",{"A":46,"Q":47},"Quality is tracked via accuracy scores, inter-annotator agreement, golden sets, audits, and sampling; QA evaluation ensures consistent training data quality.","How is quality measured?",{"A":49,"Q":50},"AI labs, tech startups, BPOs, and annotation vendors use Rex.zone to source vetted labelers and manage scalable data operations.","Who are the typical employers?","AI Data Annotation"]