[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-data-labeling-remote-jobs":3},{"Slug":4,"Header":5,"Ques":33,"job_category":66},"data-labeling-remote-jobs",{"desc":6,"title":7,"content":8},"Data Labeling Remote Jobs connect expert annotators with AI\u002FML training workflows on Rex.zone, the AI training platform. As a data annotation specialist, you’ll create and evaluate training data for RLHF, LLM prompt evaluation, named entity recognition, computer vision bounding boxes and segmentation, and content safety labeling. Work within annotation guidelines, QA evaluation loops, and LLM training pipelines to improve model performance. Roles span entry-level to senior, freelance contract to full-time, across NLP, computer vision, and safety domains for AI labs, tech startups, BPOs, and annotation vendors. Apply now to join remote projects that prioritize training data quality, guideline compliance, and measurable model improvement.","Data Labeling Remote Jobs",[9,12,15,18,21,24,27,30],{"h2":10,"desc":11},"Key Responsibilities","Produce high-quality annotations across text, image, video, and audio following detailed annotation guidelines. Execute RLHF comparisons and preference rankings to improve large language model evaluation. Perform prompt evaluation, red-teaming, and content safety labeling to uphold platform policies. Conduct named entity recognition, sentiment tagging, intent classification, and taxonomy mapping. In computer vision, create bounding boxes, polygons, keypoints, and segmentation masks. Participate in multi-stage QA evaluation, resolve conflicts, and document edge cases to drive model performance improvement and training data quality.",{"h2":13,"desc":14},"Required Qualifications","Proven attention to detail and consistency in annotation guidelines compliance. Ability to follow written instructions, escalate ambiguities, and meet SLAs. Familiarity with NLP tasks (NER, summarization, classification) or computer vision annotation. Comfortable with productivity targets and quality benchmarks (inter-annotator agreement, precision\u002Frecall). Strong written English; additional languages are a plus for multilingual datasets. Reliable internet, privacy-conscious workspace, and willingness to sign NDAs.",{"h2":16,"desc":17},"Preferred Experience","Experience with RLHF pipelines, LLM prompt engineering, or model-assisted labeling. Background in linguistics, data quality, content moderation, or safety policy. Prior work with annotation vendors, BPOs, AI labs, or tech startups. Familiarity with Python, regex, or basic scripting for dataset triage. Understanding of bias, fairness, and safety considerations in AI training.",{"h2":19,"desc":20},"Domains and Workflows","NLP: entity extraction, intent detection, summarization quality, dialogue safety, prompt evaluation. Computer Vision: object detection, instance\u002Fsemantic segmentation, OCR QA. Content Safety: policy taxonomy mapping, severity calibration, age-appropriateness. LLM Training: preference ranking, chain-of-thought redaction checks, evaluation set curation, model performance tracking.",{"h2":22,"desc":23},"Employment Types and Schedules","Remote roles available as full-time, part-time, contract, freelance, and temporary projects. Opportunities for entry-level labelers, experienced annotators, and senior QA leads. Flexible time zones with core-hour windows for synchronous reviews when required.",{"h2":25,"desc":26},"Tools and Platforms","Use Rex.zone’s secure annotation workspace and integrated QA dashboards. Projects may leverage model-assisted labeling, ontology editors, prompt testing sandboxes, and audit trails. You may interface with third-party tools as needed (CV annotation suites, translation utilities), while all submissions and KPIs remain centralized in Rex.zone.",{"h2":28,"desc":29},"Compensation and Growth","Competitive pay based on task complexity, throughput, and quality scores. Clear advancement path from annotator to reviewer to QA lead and domain specialist. Senior roles influence guideline design, gold-set creation, and evaluation methodology to drive annotation guidelines compliance and model performance improvement.",{"h2":31,"desc":32},"How to Apply on Rex.zone","Create your profile on Rex.zone, list domain strengths (NLP, computer vision, content safety), and complete calibration tasks. Once verified, browse remote, contract, freelance, full-time, and entry-level or senior roles. Apply to AI labs, tech startups, BPOs, and annotation vendors directly through Rex.zone’s job board.",{"title":34,"content":35},"Data Labeling Remote Jobs: FAQs",[36,39,42,45,48,51,54,57,60,63],{"A":37,"Q":38},"Data labeling is the process of annotating text, images, audio, or video with structured tags so models can learn patterns. On Rex.zone, labelers contribute to RLHF, prompt evaluation, NER, computer vision annotation, and content safety tasks that feed LLM training pipelines.","What is data labeling in the context of AI\u002FML training?",{"A":40,"Q":41},"Yes. Most roles on Rex.zone are remote, with some projects requesting overlapping hours for reviews or QA syncs.","Are these roles fully remote?",{"A":43,"Q":44},"We offer entry-level, mid-level, and senior QA lead roles. Entry-level candidates complete calibration tasks to demonstrate accuracy before joining projects.","What experience level is required?",{"A":46,"Q":47},"Full-time, part-time, contract, freelance, and temporary projects are available. Some roles are project-based with variable weekly hours.","What employment types are available?",{"A":49,"Q":50},"NLP (NER, classification, summarization), computer vision (bounding boxes, segmentation), content safety labeling, and LLM evaluation including RLHF and prompt testing.","Which domains can I work in?",{"A":52,"Q":53},"You’ll primarily use Rex.zone’s secure annotation and QA tooling. Some projects integrate model-assisted labeling and third-party CV tools while maintaining centralized QA in Rex.zone.","What tools will I use?",{"A":55,"Q":56},"Compensation depends on task complexity, throughput, and quality metrics like inter-annotator agreement. Senior reviewers and QA leads earn higher rates.","How is pay determined?",{"A":58,"Q":59},"Basic familiarity with AI\u002FML concepts helps, but meticulous attention to detail and guideline adherence are most important. Scripting experience is a plus for advanced roles.","Do I need technical skills?",{"A":61,"Q":62},"All contributors agree to confidentiality and data protection policies. Secure work environments and compliance with NDAs are required.","What about data privacy and NDAs?",{"A":64,"Q":65},"Create a profile on Rex.zone, complete calibration tasks, and apply to suitable postings. You can track applications and progress directly on the platform.","How do I apply?","Data Annotation & Labeling"]