Remote Data Annotator for US Residents – Join a Fast‑Growing AI Team

We are looking for detail‑oriented Data Annotators to label, tag, and validate datasets that power cutting‑edge AI models. This fully remote position offers flexible hours, competitive pay, and the chance to work on projects that impact industries ranging from healthcare to autonomous vehicles. If you enjoy meticulous work and want to contribute to the future of machine learning, read on.

About the Role

As a Data Annotator, you will be responsible for preparing high‑quality training data for machine learning algorithms. You will work closely with data scientists and engineers to ensure that labels are accurate, consistent, and delivered on schedule. The role is entirely remote, allowing you to set your own workspace while collaborating with a distributed team through secure communication tools.

Key Responsibilities

• Annotate images, text, audio, or video according to project guidelines.
• Perform quality checks on annotated data to maintain >98% accuracy.
• Document annotation procedures and update standard operating guides.
• Meet daily and weekly productivity targets without sacrificing quality.
• Communicate progress and issues to project leads via ticketing systems.
• Participate in weekly syncs to discuss edge cases and improve labeling schemas.

Requirements

Must‑Have

• High school diploma or equivalent; associate’s or bachelor’s degree preferred.
• Strong attention to detail and ability to follow complex instructions.
• Proficiency with basic computer tools (Google Workspace, spreadsheets).
• Reliable internet connection and a quiet workspace suitable for remote work.
• Ability to work independently and manage time effectively.
• Eligibility to work in the United States (remote‑only).

Nice‑to‑Have

• Experience with data labeling platforms such as Labelbox, Scale AI, or Amazon SageMaker Ground Truth.
• Familiarity with computer vision or natural language processing concepts.
• Knowledge of JSON, CSV, or XML data formats.
• Previous freelance or contract annotation work.
• Language skills beyond English (especially Spanish, Mandarin, or Arabic).

Benefits

• Fully remote – work from anywhere in the U.S.
• Flexible schedule: choose shifts that fit your lifestyle.
• Competitive hourly rate with performance‑based bonuses.
• Access to ongoing training and upskilling resources.
• Health, dental, and vision insurance options for full‑time teammates.
• Paid time off and company holidays.
• Employee assistance program and wellness stipend.
• Opportunity to grow into senior annotation, QA lead, or data specialist roles.

What You’ll Learn

Working as a Data Annotator gives you a front‑row seat to the AI development lifecycle. You’ll gain hands‑on experience with data pipelines, learn how annotation quality directly influences model performance, and develop a keen eye for detail that is transferable to many tech‑focused careers.

Skill Development

• Data labeling best practices and quality assurance methodologies.
• Familiarity with annotation tooling and version control for datasets.
• Understanding of machine learning workflows from data prep to model evaluation.
• Communication and collaboration in a fully remote, cross‑functional team.
• Problem‑solving techniques for ambiguous labeling scenarios.

Salary Range

Based on industry standards for entry‑level to mid‑level data annotation roles, the expected compensation is $35,000 – $55,000 USD per year (pro‑rated for part‑time schedules). Top performers can earn additional bonuses based on quality and throughput metrics.