AI Summary / Key Details

  • Role: Remote Data Annotator – Remote Job for residents of United States – Join a Fast-Growing AI Team
  • 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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Looking to launch or advance your career in AI data preparation? This fully remote Data Annotator role lets you work from anywhere in the United States while contributing to cutting‑edge machine‑learning projects. Enjoy flexible hours, competitive pay, and the chance to grow with a dynamic tech team.

About the Role

As a Data Annotator, you will be responsible for labeling, tagging, and validating diverse datasets that power our AI models. Your meticulous work ensures high‑quality training data, directly impacting the accuracy and reliability of our machine‑learning solutions. This position is ideal for detail‑oriented individuals who thrive in a self‑managed, remote environment and are eager to gain hands‑on experience in the AI industry.

Key Responsibilities

  • Annotate images, text, audio, and video files according to project guidelines.
  • Perform quality checks on annotated data to maintain consistency and precision.
  • Collaborate with project leads and data scientists to clarify annotation requirements.
  • Meet daily and weekly productivity targets while adhering to strict deadlines.
  • Report any ambiguities or issues in the data to improve annotation workflows.
  • Stay updated on evolving annotation tools and best practices through internal training.

Requirements

Essential Qualifications

  • High school diploma or equivalent; associate’s or bachelor’s degree preferred.
  • Strong attention to detail and ability to follow complex instructions.
  • Basic computer literacy; familiarity with spreadsheet or annotation software is a plus.
  • Excellent written communication skills for reporting and documentation.
  • Ability to work independently and manage time effectively in a remote setting.
  • Reliable internet connection and a quiet workspace conducive to focused work.

Preferred Experience

  • Prior experience in data labeling, content moderation, or similar detail‑driven tasks.
  • Exposure to machine‑learning concepts or AI projects.
  • Proficiency with annotation platforms such as Labelbox, Scale AI, or Amazon SageMaker Ground Truth.
  • Multilingual abilities (especially Spanish, Mandarin, or Arabic) are advantageous for global datasets.

Benefits

Compensation & Perks

  • Salary range: $45,000 – $65,000 USD per year (based on experience and productivity).
  • Fully remote schedule – work from any location within the United States.
  • Flexible hours with core collaboration windows to accommodate different time zones.
  • Paid time off and holidays.
  • Access to ongoing training programs and certification opportunities in data annotation and AI fundamentals.
  • Performance‑based bonuses and incentives for exceeding quality and volume targets.
  • Health, dental, and vision insurance options for full‑time employees.
  • 401(k) plan with company match (after eligibility period).

Culture & Growth

  • Join a supportive, inclusive team that values diverse perspectives.
  • Clear pathways for advancement into senior annotation, quality lead, or data analyst roles.
  • Regular virtual team‑building events and knowledge‑sharing sessions.
  • Opportunity to contribute to innovative AI solutions used in healthcare, autonomous vehicles, natural language processing, and more.