Senior Data Annotator Jobs in Miami

Senior data annotator jobs in Miami at Rex.zone focus on training data quality for AI/ML systems across NLP and computer vision. You will label and review data for large language model evaluation, RLHF (Reinforcement Learning from Human Feedback), prompt evaluation, and content safety labeling, ensuring annotation guidelines compliance and measurable model performance improvement. This remote, full-time role supports real-world LLM training pipelines with QA evaluation, inter-annotator agreement, and dataset documentation so AI teams can ship reliable models faster. Apply through Rex.zone to work with modern annotation tools, clear rubrics, and scalable workflows.

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Job Overview — Senior Data Annotator Jobs in Miami (Remote)

Title: Senior Data Annotator Jobs in Miami Date: 25-02-2026 Company: Rex.zone Country: US Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Data annotation, Data labeling, RLHF, LLM evaluation, Prompt evaluation, QA evaluation, Named entity recognition, Computer vision annotation, Content safety labeling, Annotation guidelines Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR

About Rex.zone

Rex.zone connects skilled annotators with AI teams building and evaluating models in NLP, computer vision (CV), and content safety. Our programs emphasize training data quality, repeatable annotation guidelines, and measurable quality assurance so datasets can be trusted in production model training pipelines.

What You Will Do

You will produce and review high-quality labeled data used for supervised learning and RLHF pipelines, including prompt evaluation and preference ranking for LLMs. You will apply detailed annotation guidelines, resolve edge cases, and document decision rationales. You will perform QA evaluation, run calibration sessions, track inter-annotator agreement, and suggest rubric improvements that drive model performance improvement. You will label tasks such as named entity recognition (NER), text classification, content safety labeling, and computer vision annotation (bounding boxes, polygons, keypoints) depending on project needs.

Core Workflows and Project Types

Typical work includes LLM training data creation, LLM evaluation sets, RLHF comparisons, prompt-response quality scoring, and content moderation policy labeling. You may support NLP tasks like NER, sentiment/topic classification, toxicity and safety categories, and retrieval relevance judgments. You may also support CV tasks such as image classification, object detection, segmentation, and OCR-related labeling with strict QA gates and audit trails.

Required Qualifications

Mid-senior experience in data labeling or data annotation with demonstrated training data quality ownership. Strong reading comprehension and ability to apply annotation guidelines compliance under ambiguity. Experience with QA evaluation methods such as spot checks, blind review, adjudication, and inter-annotator agreement. Familiarity with LLM evaluation concepts, prompt evaluation, and RLHF-style preference judgments. Comfortable working remotely with consistent throughput, clear documentation, and tool-based workflows.

Preferred Qualifications

Experience supporting AI labs, tech startups, annotation vendors, or BPO-style annotation operations. Exposure to NLP and CV task taxonomies including NER, intent classification, and computer vision annotation. Experience creating or improving rubrics, running calibrations, coaching annotators, and performing root-cause analysis on quality defects. Familiarity with content safety labeling policies and escalation processes.

Quality Standards and Expectations

You will be measured on annotation accuracy, consistency, throughput, and adherence to guidelines. You will maintain traceable decisions, clear notes for edge cases, and structured feedback that improves guidelines. You will help ensure datasets are evaluation-ready, reducing label noise and enabling reliable model performance improvement.

Work Arrangement and Compensation

This is a Remote, FULL_TIME role for candidates aligned to senior data annotator jobs in Miami intent, serving US-based projects. Compensation range is USD 63360 to 126720 per YEAR, depending on scope, complexity, and demonstrated quality leadership.

How to Apply on Rex.zone

Apply through Rex.zone with a concise summary of relevant annotation projects, domains (NLP, CV, content safety), QA responsibilities, and any experience with RLHF or LLM evaluation. Include examples of guideline interpretation, adjudication work, or quality improvement outcomes where possible.

Frequently Asked Questions

  • Q: Are these senior data annotator jobs in Miami remote or onsite?

    These roles are marked Remote and are designed for fully remote work while supporting US-based projects aligned with Miami job search intent.

  • Q: What types of annotation tasks are included?

    Work commonly includes data labeling for NLP (named entity recognition, classification), LLM evaluation (prompt evaluation, preference ranking for RLHF), content safety labeling, and computer vision annotation depending on project needs.

  • Q: What does QA evaluation mean in this role?

    QA evaluation includes spot checks, blind review, adjudication, calibration sessions, and tracking inter-annotator agreement to ensure training data quality and consistent guideline application.

  • Q: Is this position full-time and what experience level is expected?

    Yes, the employment type is FULL_TIME and the experience level is Mid-Senior, with expectations of independent execution and quality ownership.

  • Q: How does this role connect to LLM training pipelines and model performance?

    High-quality labels and consistent evaluations reduce noise in training data and improve reliability of benchmarks, directly supporting model performance improvement in large language model training pipelines and RLHF programs.

  • Q: What skills should applicants emphasize to match the posting intent?

    Emphasize data annotation, data labeling, RLHF, LLM evaluation, prompt evaluation, QA evaluation, named entity recognition, computer vision annotation, content safety labeling, and annotation guidelines compliance.

230+Domains Covered
120K+PhD, Specialist, Experts Onboarded
50+Countries Represented

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We believe exceptional intelligence deserves exceptional pay. Our platform consistently offers rates above the industry average, rewarding experts for their true value and real impact on frontier AI. Here, your expertise isn't just appreciated - it's properly compensated.

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