[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-entry-level-data-labeling-jobs":3},{"Slug":4,"Header":5,"Ques":30,"job_category":45},"entry-level-data-labeling-jobs",{"desc":6,"title":7,"content":8},"Rex.zone is hiring for the Entry-Level Data Labeler role—an AI\u002FML training job entity focused on training data quality for LLM training pipelines. You’ll perform data labeling across NLP, computer vision annotation, and content safety labeling; support RLHF via pairwise preference tasks; run QA evaluation and prompt evaluation; and ensure annotation guidelines compliance to drive model performance improvement and large language model evaluation. Apply to remote, contract, freelance, part-time, or full-time openings on Rex.zone serving AI labs, tech startups, BPOs, and annotation vendors. Build real-world skills that power safer, smarter AI, with a growth path from entry-level to senior evaluator and QA lead.","Entry-Level Data Labeling Jobs",[9,12,15,18,21,24,27],{"h2":10,"desc":11},"Key Responsibilities","Annotate text, images, audio, and video with high precision; follow detailed annotation guidelines and taxonomy rules; complete RLHF pairwise and ranking tasks; conduct prompt evaluation and red-teaming for LLM safety; perform first- and second-pass QA to maintain training data quality; document edge cases and escalate ambiguities; meet throughput and accuracy targets; contribute feedback to improve guidelines and model performance; uphold privacy, security, and content safety standards.",{"h2":13,"desc":14},"Required Qualifications","Strong attention to detail, reliable internet and computer, fluent English reading comprehension, ability to follow instructions and adhere to annotation guidelines, basic understanding of AI\u002FML concepts, comfort with repetitive workflows, capacity to handle sensitive content with resilience, and availability for shift-based work with consistent throughput.",{"h2":16,"desc":17},"Preferred Skills","Experience with named entity recognition, sentiment tagging, taxonomy labeling, image bounding boxes and segmentation, OCR transcription, content moderation, and spreadsheet hygiene; familiarity with inter-annotator agreement, gold tasks, and calibration; exposure to LLMs, prompt design, or evaluation; second-language skills for multilingual datasets.",{"h2":19,"desc":20},"Tools and Workflows","Work with leading annotation platforms and internal tools, including workflows like task queues, gold-standard checks, consensus review, spot audits, and calibration sessions. Use checklists for QA evaluation, record rationales for complex edge cases, and track productivity while maintaining accuracy thresholds.",{"h2":22,"desc":23},"Employment Types and Locations","Openings include remote, on-site, and hybrid; full-time, part-time, contract, freelance, temporary, and internships. Roles span NLP, computer vision, content safety, and LLM evaluation for AI labs, tech startups, BPOs, and annotation vendors.",{"h2":25,"desc":26},"Career Growth","Advance from entry-level labeler to senior labeler, QA reviewer, task designer, data operations coordinator, or model evaluation analyst. Gain domain depth across safety alignment, multilingual NLP, and computer vision.",{"h2":28,"desc":29},"How to Apply","Create a profile on Rex.zone, verify your skills with quick calibration tasks, and match to projects that fit your schedule and expertise. Apply once to access multiple employers and AI training programs.",{"title":31,"content":32},"Quick Q&A",[33,36,39,42],{"A":34,"Q":35},"No. Entry-level candidates are welcome; you’ll learn via guidelines and calibration tasks.","Do I need prior experience?",{"A":37,"Q":38},"Yes. Many projects offer freelance or contractor arrangements with flexible hours.","Can I work freelance?",{"A":40,"Q":41},"NLP, computer vision, content safety, and LLM evaluation, including prompt testing and QA.","Which domains are available?",{"A":43,"Q":44},"AI labs, tech startups, BPOs, and specialized annotation vendors post roles regularly.","Who hires on Rex.zone?","Data Annotation & Labeling"]