Remote Data Annotator for United States + Turn your attention to detail into a high‑impact career shaping AI models worldwide

Join a cutting‑edge AI training team where your meticulous eye for detail fuels the next generation of intelligent systems. This fully remote role offers competitive compensation, flexible hours, and the chance to impact technology used by millions worldwide.

About the Role

In this fully remote Data Annotator position, you will be the backbone of advanced AI systems, transforming raw information into precise, labeled datasets that power machine learning models across a variety of industries. You will work directly with AI engineers, product managers, and quality assurance specialists to ensure that each annotation meets rigorous standards for accuracy, consistency, and relevance. The role offers the flexibility to work from any location within the United States while contributing to projects that impact millions of users worldwide.

Key Responsibilities

Core Annotation Tasks

• Label text, images, audio, and video files according to detailed annotation guidelines.
• Tag entities, sentiment, categories, and relationships with high precision.
• Review and verify existing annotations to maintain dataset quality.
• Report and resolve inconsistencies or ambiguities in labeling instructions.
• Document labeling decisions and provide feedback to improve annotation protocols.

Collaboration and Quality Assurance

Participate in regular team meetings, share insights on challenging data, and cooperate with engineers to refine model requirements. Conduct periodic quality audits, track error rates, and contribute to continuous improvement initiatives that raise annotation accuracy above 98%.

Required Qualifications

Education and Experience

• High school diploma or equivalent; associate’s or bachelor’s degree in a relevant field is preferred.
• At least 1–3 years of professional experience in data labeling, annotation, or quality control, preferably in a technology‑focused environment.
• Demonstrated ability to follow complex instructions and maintain high accuracy under tight deadlines.

Technical Competencies

• Proficient with annotation platforms such as Labelbox, Scale AI, or proprietary tools.
• Strong command of Microsoft Office Suite, Google Workspace, and basic database query languages.
• Familiarity with AI/ML concepts, including supervised learning, data preprocessing, and model evaluation metrics.

Soft Skills

• Exceptional attention to detail and commitment to data integrity.
• Self‑motivated, capable of managing time independently in a remote setting.
• Excellent written communication and the ability to provide clear, constructive feedback.

Preferred Attributes

• Experience annotating data in specialized domains such as healthcare, finance, e‑commerce, or autonomous vehicles.
• Ability to work across multiple time zones and collaborate effectively with distributed teams.
• Strong problem‑solving mindset and adaptability to evolving project requirements.

Compensation and Benefits

Salary Range

$45,000 – $65,000 USD per year, based on experience, skill level, and performance.

Employee Benefits

• 100% remote work with flexible hours and a results‑oriented schedule.
• Comprehensive health, dental, and vision insurance with employer‑paid premiums.
• 401(k) plan with company matching contributions.
• Annual professional development stipend for courses, certifications, or conferences.
• Paid time off, holidays, and sick leave in line with industry standards.
• Home office equipment allowance and high‑speed internet reimbursement.
• Employee assistance program and mental health resources.

Career Growth

Joining our remote Data Annotator team opens a pathway to advanced roles in data science, AI engineering, or project management. As you demonstrate expertise and reliability, you may be promoted to senior annotator, team lead, or transition into specialized annotation domains that command higher compensation and broader impact.

Ready to Apply?

If you are passionate about precision, eager to contribute to cutting‑edge AI, and thrive in a flexible remote environment, we want to hear from you. Submit your resume and a concise cover letter outlining your annotation experience to our hiring portal. Our talent team will review your application promptly and contact you with next steps.