Remote Data Annotator – United States – Shape the Future of AI

Join a fast‑growing AI research team that turns raw data into the intelligence behind tomorrow’s products. As a Remote Data Annotator, you’ll label, review, and refine datasets that power cutting‑edge machine‑learning models—all from the comfort of your home office.

About the Role

We are looking for detail‑oriented Data Annotators to support multiple projects spanning natural language processing, computer vision, and multimodal AI. You will work closely with data scientists and engineers to ensure annotation guidelines are applied consistently, flag ambiguities, and help iterate on quality‑control processes. This is a fully remote, full‑time position with flexible hours that accommodate U.S. time zones.

Key Responsibilities

• Accurately label text, images, audio, and video according to project‑specific guidelines.
• Perform quality‑assurance checks on peer annotations and provide constructive feedback.
• Collaborate with the annotation lead to refine instruction manuals and resolve edge cases.
• Track daily throughput and maintain a minimum accuracy threshold of 98 %.
• Participate in weekly calibration sessions to align on evolving labeling standards.

Requirements

• High school diploma or equivalent; a bachelor’s degree in linguistics, computer science, or a related field is a plus.
• Proven experience (≥ 1 year) in data annotation, content moderation, or a similar detail‑heavy role.
• Strong command of English grammar, syntax, and nuance; additional language fluency is advantageous.
• Comfortable using annotation platforms such as Labelbox, Prodigy, or custom internal tools.
• Reliable high‑speed internet, a quiet workspace, and the ability to meet deadlines independently.

Preferred Qualifications

• Familiarity with basic Python scripting for data preprocessing.
• Experience with NLP tasks like named‑entity recognition, sentiment tagging, or dialogue act classification.
• Background in image segmentation, bounding‑box drawing, or video frame annotation.
• Understanding of bias detection and mitigation in training data.

Salary Range

$45,000 – $65,000 USD per year, commensurate with experience, language skills, and project complexity. Annual performance reviews may unlock merit‑based increases.

Benefits

• 100 % remote work with a $500 annual home‑office stipend.
• Comprehensive health, dental, and vision insurance (company pays 80 %).
• 401(k) matching up to 4 % of salary.
• Generous paid time off: 15 days vacation, 10 holidays, plus sick leave.
• Access to continuous learning budgets ($1,000/year) for courses, certifications, or conferences.
• Quarterly virtual team‑building events and an annual in‑person retreat (optional).

Company Culture

Our team thrives on curiosity, transparency, and inclusive collaboration. We celebrate diverse perspectives because better data comes from varied viewpoints. Weekly “Annotation Office Hours” give you direct access to data scientists, while a shared knowledge base ensures you never work in isolation. We measure success by model impact, not just annotation volume, so your work directly shapes products used by millions.

How to Apply

Submit your resume and a brief cover letter highlighting relevant annotation experience and any language proficiencies. Include a link to a portfolio or sample annotation work if available. Applications are reviewed on a rolling basis; qualified candidates will be invited to a short skills assessment followed by a virtual interview with the annotation lead.