Data Annotator in San Francisco – Shape the Future of AI with Us

Join a dynamic team at the forefront of artificial intelligence innovation. As a Data Annotator, you’ll play a pivotal role in training cutting-edge machine learning models by labeling and organizing vast datasets with precision. This remote-friendly position offers competitive compensation, flexible hours, and the chance to contribute to groundbreaking AI advancements.

About the Role

What You’ll Do

As a Data Annotator, you’ll be responsible for ensuring the accuracy and quality of datasets used to train AI systems. Your work will directly impact the performance of applications like natural language processing, computer vision, and predictive analytics. Key responsibilities include:

• Labeling and categorizing text, images, or audio data with precision.
• Validating dataset accuracy through iterative quality checks.
• Collaborating with cross-functional teams to refine annotation guidelines.
• Utilizing specialized tools to streamline workflows and improve efficiency.

Why This Role Matters

Every dataset you annotate powers smarter algorithms that drive advancements in healthcare, autonomous systems, and personalized user experiences. Your attention to detail ensures AI models learn from high-quality data, reducing errors and enhancing real-world applications.

Requirements

Essential Skills

To excel in this role, you should have:

• Strong attention to detail and ability to follow complex instructions.
• Proficiency in English (written and verbal).
• Familiarity with basic machine learning concepts (a plus).
• Experience with data annotation tools or platforms (e.g., Label Studio, CVAT).

Preferred Qualifications

While not mandatory, the following will strengthen your application:

• Prior experience in data annotation or related fields (e.g., linguistics, transcription).
• Knowledge of annotation workflows for text, images, or sensor data.
• Ability to work independently in a fast-paced, remote environment.

Benefits

Competitive Salary

Earn a base salary of $45,000 – $65,000 USD/year, depending on experience and performance. Additional incentives may apply for high-quality output and efficiency.

Career Growth Opportunities

Gain hands-on experience in AI development and access to mentorship programs. High-performing annotators may transition into specialized roles like AI Trainer or Data Scientist.

Flexible Work Environment

Enjoy the freedom of remote work with flexible hours to balance productivity and well-being. Our team operates across time zones, so you can choose shifts that suit your schedule.

How to Apply

If you’re passionate about AI and thrive in detail-oriented work, we want to hear from you. Submit your resume and a brief cover letter explaining why you’re excited about contributing to the future of intelligent systems. Applications are reviewed on a rolling basis, so apply today to join a team redefining what’s possible in artificial intelligence.