AI Data Labeling Jobs in the United States

AI Data Labeling jobs in the United States focus on creating high-quality training data for modern AI/ML systems, including large language model evaluation, RLHF workflows, and QA evaluation for model performance improvement. On Rex.zone, you will support real-world LLM training pipelines by following annotation guidelines compliance, producing consistent labels, and validating training data quality across NLP, computer vision annotation, and content safety labeling tasks. This remote, full-time role is designed for US-based professionals who can apply policy-driven judgment, maintain reviewer consistency, and document edge cases that impact model behavior. Explore and apply through Rex.zone to join teams powering production AI systems.

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AI Data Labeling Jobs in the United States

What You’ll Do (Day-to-Day)

Requirements

Preferred Qualifications

Compensation

Frequently Asked Questions

  • Q: Are these AI data labeling jobs remote in the United States?

    Yes. This posting is for US-based candidates and is explicitly marked Remote, with full-time employment.

  • Q: What kinds of tasks are included in AI data labeling?

    Common tasks include data labeling for text and images, RLHF preference ranking, prompt evaluation, QA evaluation, named entity recognition, computer vision annotation, and content safety labeling to improve training data quality.

  • Q: What is RLHF and why is it part of this role?

    RLHF (Reinforcement Learning from Human Feedback) uses human preference data to guide model behavior. In this role, you may rank responses, apply rubrics, and produce high-quality preference labels that improve model performance and alignment.

  • Q: What does QA evaluation mean for labeling teams?

    QA evaluation includes audits against gold sets, reviewer calibration, consistency checks, and guideline compliance reviews to ensure training data quality and reduce label noise that can degrade model performance.

  • Q: Do I need experience in NLP or computer vision to apply?

    Not always. Some projects focus on NLP annotation like named entity recognition and prompt evaluation, while others include computer vision annotation. The role favors candidates who can adapt to multiple domains.

  • Q: How does Rex.zone fit into the application process?

    Rex.zone is the platform where you can explore the job listing, review requirements, and apply for the remote US AI data labeling role.

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.

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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.

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