AI Data Labeling Specialist (Rex.zone)

AI Data Labeling Specialist — join Rex.zone to create high-quality training data for LLMs and ML systems. This role is an entity-aligned job in data annotation: RLHF, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling. You will improve training data quality, ensure annotation guidelines compliance, and drive model performance improvement through large language model evaluation and feedback loops. Work within LLM training pipelines across NLP, vision, and safety tasks. Apply for remote, contract, freelance, or full-time positions on Rex.zone, serving AI labs, tech startups, BPOs, and annotation vendors. Entry-level and senior openings available worldwide.

About the Role

As an AI Data Labeling Specialist at Rex.zone, you will produce accurate annotations that power LLM training pipelines and ML models. Your work spans NLP, computer vision, and content safety, including RLHF preference ranking, instruction and prompt evaluation, named entity recognition, bounding boxes and segmentation masks, and policy-aligned safety judgments. You’ll follow detailed taxonomy and ontology definitions, apply structured guidelines, and collaborate with QA to enhance training data quality and model performance improvement.

Key Responsibilities

Execute data labeling tasks across text, image, and speech; perform RLHF pairwise preference judgments and prompt evaluation; apply annotation guidelines compliance and taxonomy accuracy; run QA evaluation checks and provide feedback; curate, audit, and de-duplicate datasets; tag entities, intents, and sentiments; review content safety against policy frameworks; participate in large language model evaluation; document edge cases; uphold privacy and security protocols; collaborate with project managers and ML engineers.

Required Skills

Strong attention to detail and consistency; ability to interpret annotation guidelines; familiarity with LLMs, RLHF, and model evaluation; experience with tools like Label Studio, CVAT, Prodigy, or custom Rex.zone tasking; comfort with NER, classification, bounding boxes, segmentation, and transcription; understanding of inter-annotator agreement and quality metrics; clear written communication; English fluency; multilingual capability is a plus; basic data tooling (spreadsheets, JSON) and optional Python for task automation.

Workflow & Tools

You will work in structured pipelines that include instruction tuning dataset creation, preference ranking for RLHF, prompt evaluation, red-teaming for safety, and test set curation for QA evaluation. Projects use standardized schemas, ontologies, and validation rules to ensure training data quality. Rex.zone provides task assignment, reviewer workflows, audits, and metrics tracking for annotation guidelines compliance, with integrated dashboards for model performance improvement and large language model evaluation outcomes.

Employment Types & Locations

Openings include remote, contract, freelance, and full-time roles, plus on-site and hybrid options depending on project needs. We hire entry-level, mid-level, and senior annotators across global time zones. Flexible schedules and part-time gigs are available for certain projects. Rex.zone coordinates multi-client assignments, enabling mobility between NLP, computer vision, and content safety domains.

Domains & Projects

NLP tasks such as NER, sentiment, intent, summarization; computer vision tasks including object detection, semantic segmentation, OCR; content safety labeling with policy alignment; speech and audio transcription; RLHF preference data; LLM training and evaluation; enterprise data operations for AI labs, tech startups, BPOs, and annotation vendors within the Rex.zone network.

Compensation & Growth

Competitive pay by task, hour, or salary depending on contract type and seniority; bonuses for quality and throughput; paid training for high-impact projects; progression pathways from entry-level to senior reviewer, QA lead, and project manager. Rex.zone offers ongoing skill development in guidelines design, evaluation frameworks, and model feedback loops.

How to Apply

Submit your profile on Rex.zone with domain preferences (NLP, computer vision, content safety, LLM training). Include tool experience, languages, availability, and any prior RLHF or QA evaluation work. Candidates are matched to projects based on expertise, guideline proficiency, and quality metrics. Shortlisted applicants will complete a sample task and a calibration session.

Frequently Asked Questions

Q: What is an AI Data Labeling Specialist at Rex.zone?
It’s a data annotation role focused on producing high-quality labeled datasets for ML and LLMs. Work spans RLHF preference ranking, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling, all within standardized guidelines and QA evaluation workflows.
Q: Is this role remote or on-site?
Most roles are remote. Some clients offer hybrid or on-site placements. We support contract, freelance, and full-time arrangements, with entry-level to senior openings across time zones.
Q: What tools will I use?
Typical tools include Label Studio, CVAT, and Prodigy, along with Rex.zone’s tasking and QA platform. Projects may use custom validators, schema checkers, and dashboards tracking training data quality, annotation guidelines compliance, and model performance improvement.
Q: Do you provide training and calibration?
Yes. Rex.zone offers onboarding, guideline walkthroughs, calibration tasks, and feedback loops. We measure inter-annotator agreement and accuracy before assigning production work.
Q: What domains are available?
NLP (NER, sentiment, intent), computer vision (object detection, segmentation, OCR), content safety labeling, speech transcription, and LLM training pipelines including large language model evaluation and RLHF data generation.
Q: How is quality evaluated?
We use IAA, accuracy, consistency checks, spot audits, and automated validators. Reviewers perform QA evaluation to enforce annotation guidelines compliance and capture edge cases with clear rationales.
Q: What are typical pay structures?
Rates vary by task type, domain complexity, and seniority. We offer per-task, hourly, and salaried options, plus quality bonuses for meeting throughput and accuracy targets.
Q: Who are the employers and clients?
Rex.zone partners with AI labs, tech startups, BPOs, and annotation vendors. Projects range from research prototypes to production-scale datasets.
Q: How do I stand out in the application?
Highlight guideline literacy, prior RLHF or prompt evaluation experience, tooling proficiency, multilingual skills, and examples of improving training data quality or model performance through precise annotations.
Q: Is entry-level experience acceptable?
Yes. We provide training for motivated entry-level candidates. Senior roles require deeper domain knowledge, prior QA evaluation leadership, or experience designing annotation schemas.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

Industry-Leading Compensation

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.

Work Remotely, Work Freely

No office. No commute. No constraints. Our fully remote workflow gives experts complete flexibility to work at their own pace, from any country, any time zone. You focus on meaningful tasks—we handle the rest.

Respect at the Core of Everything

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