[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-data-labeling-part-time-job":3},{"Slug":4,"Header":5,"Ques":33,"job_category":60},"data-labeling-part-time-job",{"desc":6,"title":7,"content":8},"Rex.zone is hiring part-time Data Labeling specialists to create high-quality training data for AI\u002FML systems. This role is an entity-level data annotation job tied to real LLM training pipelines, including RLHF (Reinforcement Learning from Human Feedback), prompt evaluation, QA evaluation, named entity recognition, computer vision annotation, and content safety labeling. You will improve training data quality through annotation guidelines compliance, rigorous review, and large language model evaluation that drives model performance improvement for AI labs, startups, and vendors on Rex.zone. Ideal for remote, contract, or freelance contributors across NLP, computer vision, and safety domains, from entry-level to senior raters experienced with LLM training workflows.","Data Labeling Part-Time Job (Remote)",[9,12,15,18,21,24,27,30],{"h2":10,"desc":11},"Key Responsibilities","Label and review text, image, and short-form video data for NLP and computer vision tasks; perform named entity recognition, sentiment and intent tagging, entity linking, bounding boxes and segmentation; execute RLHF workflows such as pairwise ranking, A\u002FB comparisons, and critique generation; conduct prompt evaluation and red-teaming for content safety; follow detailed annotation guidelines and contribute to updates; perform QA evaluation, spot checks, and conflict resolution to maintain training data quality; document edge cases and escalate ambiguities; provide actionable feedback that enables model performance improvement across large language model evaluation tasks.",{"h2":13,"desc":14},"Required Qualifications","Strong attention to detail and ability to follow complex instructions; excellent written English; familiarity with AI\u002FML concepts, LLM behavior, and common annotation taxonomies; reliable internet and modern laptop\u002Fdesktop; ability to meet SLAs for throughput and accuracy; comfort working in remote, part-time, contractor or freelance arrangements. Entry-level candidates are welcome; senior raters and QA leads encouraged to apply.",{"h2":16,"desc":17},"Preferred Skills","Experience with NER, summarization, classification, and evaluation rubrics; knowledge of RLHF, DPO, and evaluation frameworks; prior work in content safety labeling and policy enforcement; multilingual skills; background in linguistics, data annotation, psychology, or ML; familiarity with inter-annotator agreement and calibration techniques; exposure to LLM training pipelines and model evals.",{"h2":19,"desc":20},"Tools & Platforms","Work in Rex.zone task queues and common annotation tools such as Label Studio, Prodigy, LightTag, SuperAnnotate, and CVAT; use quality dashboards, gold data checks, and guideline repositories; collaborate via tickets and issue trackers when needed.",{"h2":22,"desc":23},"Domains & Workflows","NLP (instruction following, summarization, NER), computer vision (classification, detection, segmentation), content safety (policy alignment, risk triage), LLM evaluation (pairwise ranking, rubric scoring, adversarial prompts), QA evaluation (gold tasks, audits, calibrations), and continuous improvement loops for annotation guidelines compliance.",{"h2":25,"desc":26},"Compensation & Scheduling","Competitive per-task or hourly pay depending on project; flexible part-time hours with weekly throughput targets; tasks available across time zones; short-term sprints and ongoing contract streams are available.",{"h2":28,"desc":29},"Who You’ll Support","AI labs, tech startups, BPOs, and annotation vendors using Rex.zone to scale trustworthy training data and evaluation for production AI systems.",{"h2":31,"desc":32},"How to Apply","Create your profile on Rex.zone, complete a brief skills check, pass guideline comprehension tasks, and join active queues. High performers may unlock senior\u002FQA tracks.",{"title":34,"content":35},"Frequently Asked Questions",[36,39,42,45,48,51,54,57],{"A":37,"Q":38},"You annotate and evaluate text, images, and short videos for NLP, computer vision, and content safety tasks. Work includes RLHF ranking, prompt evaluation, guideline adherence, and QA checks to improve model performance.","What does a part-time data labeler do at Rex.zone?",{"A":40,"Q":41},"Yes. Roles are primarily remote and offered as part-time contractor or freelance engagements. High performers may be invited to longer-term or full-time tracks on select projects.","Is this role remote and contract-friendly?",{"A":43,"Q":44},"Strong written communication, attention to detail, and the ability to follow instructions. Familiarity with AI\u002FML, LLM behavior, or prior annotation experience is a plus but not strictly required.","What skills are required to get started?",{"A":46,"Q":47},"NLP (classification, NER, summarization), computer vision (classification, bounding boxes, segmentation), content safety (policy rating, red-teaming), and LLM evaluation (pairwise ranking, rubric scoring).","What domains will I work in?",{"A":49,"Q":50},"Your performance is tracked using accuracy on gold tasks, inter-annotator agreement, calibration tests, and adherence to annotation guidelines. Feedback loops help maintain consistent training data quality.","How is quality measured?",{"A":52,"Q":53},"Rex.zone task queues and industry tools like Label Studio, Prodigy, SuperAnnotate, and CVAT, plus simple spreadsheets and QA dashboards.","Which tools will I use?",{"A":55,"Q":56},"No. Programming is not required for most labeling tasks. Familiarity with AI concepts and LLM capabilities helps you progress faster.","Do I need programming experience?",{"A":58,"Q":59},"Sign up on Rex.zone, complete profile and skill checks, read the guidelines, and start on qualification tasks. Successful candidates gain access to paid queues.","How do I apply?","Data Annotation & Labeling"]