Senior Data Annotator Jobs in Austin

Senior data annotator jobs in Austin at Rex.zone focus on training data quality for AI/ML systems by combining data labeling, RLHF evaluation, prompt evaluation, and rigorous QA evaluation. You will annotate and review text, image, and multimodal datasets used in large language model evaluation, NLP named entity recognition, computer vision annotation, and content safety labeling. This remote, full-time role supports LLM training pipelines with annotation guidelines compliance, calibration, and feedback loops that drive model performance improvement and measurable quality metrics across production annotation workflows.

Senior Data Annotator Jobs in Austin

About the Role

You will lead high-precision annotation and review work for AI training workflows, ensuring training data quality and consistent application of annotation guidelines. Projects may include RLHF preference ranking, prompt evaluation for helpfulness/harmlessness, QA evaluation of model outputs, named entity recognition for NLP, computer vision annotation (bounding boxes, segmentation, keypoints), and content safety labeling. You will partner with operations and engineering stakeholders at Rex.zone to improve rubric clarity, reduce label ambiguity, and strengthen calibration across annotators.

What You Will Do

Execute expert-level data labeling across text, image, and multimodal tasks; perform RLHF comparisons and preference judgments with detailed rationales when required; run QA evaluation on annotated datasets to detect systematic errors and guideline drift; conduct prompt evaluation to assess factuality, coherence, instruction following, and safety; contribute to named entity recognition and taxonomy mapping for domain entities; support computer vision annotation quality through tight IoU/segmentation standards; apply content safety labeling policies for sensitive categories; document edge cases and propose guideline updates; participate in calibration sessions and inter-annotator agreement improvement; escalate unclear examples and help maintain gold sets for ongoing evaluation.

Required Qualifications

Demonstrated experience in data annotation or data labeling with strong accuracy and consistency; ability to interpret complex annotation guidelines and apply them under time constraints; experience with QA evaluation, auditing, or reviewer responsibilities; familiarity with RLHF or large language model evaluation concepts (preferences, rubrics, safety); strong written communication for rationales, issue reports, and edge-case documentation; comfort working in remote, metrics-driven production environments; ability to handle sensitive content as part of content safety labeling.

Preferred Qualifications

Experience with named entity recognition, entity schema design, or ontology/taxonomy work; experience with computer vision annotation (boxes, polygons, segmentation masks, keypoints) and quality metrics; exposure to prompt evaluation workflows and model behavior analysis; experience building or maintaining gold datasets, calibration packs, and audit sampling plans; familiarity with data operations tooling and annotation platforms; ability to mentor or support other annotators through feedback and calibration.

Quality Standards and Success Metrics

Success is measured through training data quality, annotation guidelines compliance, and consistent QA evaluation outcomes. Key indicators may include reviewer acceptance rate, error category reduction, inter-annotator agreement improvement, adherence to turnaround time, and demonstrated contributions to rubric clarity and model performance improvement through actionable feedback loops.

Work Environment

This is a Remote, FULL_TIME role based in the US. You will collaborate asynchronously with distributed teams supporting AI labs, tech startups, and annotation vendors through Rex.zone. Work may include varied task types across NLP, computer vision, LLM training, and content safety labeling depending on client needs and project allocation.

How to Apply

Explore and apply through Rex.zone by submitting your resume and highlighting your experience with data labeling, QA evaluation, RLHF, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling. Include examples of guideline interpretation, audit/review work, or quality improvements that demonstrate senior-level annotation judgment.

Frequently Asked Questions

Q: Are these senior data annotator jobs in Austin remote or on-site?
These roles are marked Remote and remain Remote. The job targets Austin-related search intent while being US-based remote work through Rex.zone.
Q: What does a senior data annotator do in AI/ML training pipelines?
A senior data annotator performs high-accuracy data labeling, leads QA evaluation, supports calibration, improves annotation guidelines compliance, and provides feedback that improves training data quality and downstream model performance.
Q: Do I need RLHF experience for this role?
RLHF experience is strongly aligned with the role. You may perform preference ranking, rubric-based evaluations, and safety-oriented judgments used in large language model evaluation and LLM training pipelines.
Q: What domains are commonly covered (NLP, computer vision, content safety)?
Work may include named entity recognition and other NLP labeling, computer vision annotation such as bounding boxes and segmentation, and content safety labeling to support policy compliance and safe model behavior.
Q: Is this position full-time and what is the pay range?
Yes, it is FULL_TIME with a YEAR pay period. The salary range is USD 63360 to 126720.
Q: What tools will I use for data labeling and QA evaluation?
You will use annotation platforms and internal tooling to label data, review edge cases, run audits, and document guideline clarifications. Specific tools vary by project and client workflow.
Q: Is this a contract or freelance role?
This posting is configured as FULL_TIME. Rex.zone may also host contract or freelance annotation work, but this job metadata is full-time.
Q: How does Rex.zone relate to employers like AI labs or tech startups?
Rex.zone connects candidates to projects and teams supporting AI labs, tech startups, BPOs, and annotation vendors, with workflows centered on training data quality and large language model evaluation.

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