AI Summary / Key Details

  • Role: Remote Data Annotator – Work from Anywhere in the U.S. – Boost AI Accuracy & Grow Your Career
  • Compensation: $25 - $45 / hr
  • Location: Remote
  • How to apply: Click the Apply Now button on this page to submit your resume.
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<a href="https://wehired.agency/jobs/" style="color:var(--primary-color); font-weight:600;">Remote</a> Data Annotator – Join a Fast‑Growing AI Team & Shape the Future of Machine Learning

Are you passionate about turning raw data into high‑quality training sets for cutting‑edge AI? Our client, a leading artificial‑intelligence platform, is scaling fast and needs meticulous annotators to label images, text, and audio with precision. This fully remote position offers a competitive salary, flexible hours, and a collaborative culture that values accuracy and continuous learning.

Salary Range

$45,000 – $65,000 USD per year (commensurate with experience, expertise in annotation tools, and proven productivity).

About the Role

As a Remote Data Annotator you will be the eyes and ears of our machine‑learning models. Your day‑to‑day responsibilities include:

  • Labeling images, video frames, text snippets, and audio clips according to detailed guidelines.
  • Ensuring consistency and high inter‑annotator agreement across large datasets.
  • Providing feedback on guideline clarity and suggesting improvements.
  • Collaborating with project managers, data scientists, and quality‑assurance leads via Slack, Zoom, and a dedicated annotation platform.
  • Meeting daily and weekly productivity targets while maintaining a <1% error rate.

Key Requirements

Technical & Skill Set

  • High school diploma or equivalent; associate or bachelor’s degree in a related field is a plus.
  • Proven experience with annotation tools such as Scale AI, Appen, Labelbox, or open‑source alternatives.
  • Strong attention to detail and ability to follow complex, evolving guidelines.
  • Comfortable working with Windows, macOS, or Linux environments.

Soft Skills

  • Excellent written communication – you’ll document edge cases and guideline updates.
  • Self‑motivation and time‑management – remote work requires disciplined schedule adherence.
  • Team player mindset – regular virtual stand‑ups and peer reviews are part of the workflow.

Preferred Experience

  • Previous work in data labeling, content moderation, or QA testing.
  • Familiarity with AI concepts such as supervised learning, object detection, or natural language processing.
  • Experience with Python or basic scripting to automate repetitive tasks.

Benefits & Perks

  • Fully remote: Work from any U.S. location with a reliable internet connection.
  • Flexible schedule: Choose core hours (10 am–4 pm EST) or shift to match your lifestyle.
  • Competitive compensation: Salary range above, plus performance‑based bonuses.
  • Professional development: Access to AI webinars, online courses, and internal mentorship.
  • Health & wellness: Medical, dental, vision, and a generous 401(k) match.
  • Paid time off: 15 vacation days + sick leave, with additional holidays for company‑wide events.

Why Join This Team?

Our client’s AI platform powers solutions for autonomous vehicles, healthcare imaging, and e‑commerce personalization. By annotating data, you directly influence model performance that impacts millions of users worldwide. The company invests heavily in employee growth, offering clear pathways from Data Annotator to Senior Annotator, Quality Lead, or even Data‑Science roles.

How to Apply

If you’re ready to turn raw data into intelligent insights and enjoy the freedom of remote work, submit your resume and a brief cover letter highlighting any annotation projects you’ve completed. Successful candidates will be invited to a short virtual assessment to demonstrate labeling accuracy.

Equal Opportunity Employer

We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.

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