Remote Data Labeling & Annotation Jobs

At Rex.zone, remote data labeling and annotation jobs connect skilled raters and annotators with AI/ML training workflows. This role is a recognized entity in machine learning operations: producing high-quality labeled data for RLHF, prompt evaluation, QA evaluation, named entity recognition, computer vision annotation, content safety labeling, and LLM training pipelines. Candidates review text, images, audio, and video, apply annotation guidelines, and deliver training data quality that drives model performance improvement and large language model evaluation. Opportunities include remote contract, freelance, and full-time placements with AI labs, tech startups, BPOs, and annotation vendors. Apply to join vetted projects and advance real-world AI systems.

About the Role

You will create precise labels, judgments, and metadata for NLP, computer vision, and safety datasets used to train and evaluate large language models and perception models. Work includes RLHF preference ranking, prompt evaluation, NER, image/video bounding boxes, text classification, and policy compliance reviews.

Key Responsibilities

Follow annotation guidelines compliance and taxonomy rules; maintain training data quality through rigorous QA evaluation; document edge cases; participate in calibration sessions; provide feedback that supports model performance improvement; contribute to large language model evaluation metrics and error analysis.

Skills & Qualifications

Detail-oriented annotation, strong reading comprehension, excellent written communication, familiarity with ML data operations, and comfort with tools like Label Studio, Prodigy, LightTag, CVAT, and internal pipelines. Bonus: multilingual fluency, domain knowledge in healthcare/finance, and experience with content safety labeling.

Work Types & Domains

Remote roles across contract, freelance, and full-time tracks with entry-level and senior pathways. Domains include NLP, computer vision, content safety, and LLM training. Projects span classification, sequence labeling, object detection, sentiment analysis, and RLHF pairwise preference tasks.

Employer Profiles

Engage with AI labs building frontier models, tech startups scaling ML features, BPOs managing large annotation teams, and specialized annotation vendors. Rex.zone curates reputable employers and standardized workflows for consistent project delivery.

Compensation & Schedule

Competitive remote pay aligned to task complexity and seniority, with hourly, per-task, or salaried options. Typical ranges vary by domain and geography; senior roles and safety-critical domains pay higher. Flexible schedules across global time zones.

Application Process

Create a profile on Rex.zone, complete a short skills assessment, and select projects that match your domain expertise and availability. Successful applicants receive onboarding materials, tooling access, and clear annotation guidelines before production work.

Quality & Tools

Projects use standardized schemas, audit trails, and double-pass reviews. Tooling supports consensus, adjudication, inter-annotator agreement, and automated checks to uphold training data quality while minimizing drift and bias.

Location & Time Zones

Fully remote opportunities with asynchronous workflows. Teams operate across Americas, EMEA, and APAC; daily standups and QA windows are scheduled to accommodate global contributors.

Frequently Asked Questions

Q: What is data labeling in the context of RLHF and LLMs?
RLHF tasks ask raters to compare or rank model outputs, provide constructive feedback, and enforce policy alignment. For LLMs, this improves instruction-following and safety. Labels and preferences are integrated into LLM training pipelines to guide model behavior.
Q: Which domains are available?
Active categories include NLP text classification and NER, computer vision annotation for images and video, content safety labeling, and prompt evaluation for large language model evaluation. Specialty datasets in healthcare, finance, and multilingual corpora are also available.
Q: How is quality measured?
Quality is tracked with annotation guidelines compliance, inter-annotator agreement, spot audits, error taxonomy, and targeted QA evaluation. Metrics like precision/recall, consensus rates, and task completion reviews support training data quality and downstream model performance improvement.
Q: What tools will I use?
Common tools include Label Studio, Prodigy, LightTag, CVAT, SuperAnnotate, and custom Rex.zone pipelines. Projects may have secure browser environments, hotkeys, schema validators, and automated checks to reduce errors and enforce consistency.
Q: Are there entry-level and senior roles?
Yes. Entry-level contributors start with simpler tasks and ramp into advanced domains after passing QA. Senior annotators handle complex taxonomies, adjudication, guideline authoring, and stakeholder reviews across remote contract, freelance, and full-time tracks.
Q: Who are the typical employers?
AI labs, tech startups, BPOs, and annotation vendors recruit through Rex.zone. We verify projects, define scopes, and manage timelines to ensure stable work and fair compensation.
Q: How do I apply on Rex.zone?
Create or update your Rex.zone profile, select the “Data Labeling” category, complete calibration tasks, and apply to open roles. Approved applicants receive onboarding, documentation, and project invitations directly in the platform.
Q: What is the expected time commitment?
Most projects offer flexible hours with weekly minimums. Some full-time roles require defined shifts and SLA adherence; freelance contracts are milestone-based with clear delivery windows.

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

AI trainers are the heart of our company. We treat every expert with trust, humanity, and genuine appreciation. From personalized support to transparent communication, we build long-term relationships rooted in respect and care.

Ready to Shape the Future of Data Labeling?

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