Data Annotator (Remote)

Hire Feed; United States; Remote; USD 38,000 - 58,000; Full time

Job summary

Hire Feed is seeking a Data Annotator for a full-time remote role in the United States. You will tag and label text, images, and audio to improve machine learning models and AI training data.

Responsibilities include reviewing data per guidelines, ensuring labeling accuracy, and meeting daily / weekly output targets. A strong grasp of annotation tools and basic ML concepts is required, with the ability to work independently in a remote setting.

Qualifications

• Proficiency in data annotation tools and platforms.
• Strong attention to detail for accurate labeling and tagging.
• Basic understanding of machine learning and AI concepts.
• Ability to follow structured guidelines for consistent results.
• Self-motivated with the discipline to work independently in a remote setting.

Responsibilities

• Review and annotate text, images, or audio data according to provided guidelines.
• Ensure accuracy and consistency in labeling to support model performance.
• Follow established annotation protocols and maintain quality standards.
• Collaborate with team members to clarify annotation tasks when needed.
• Meet daily or weekly productivity targets for annotated data output.

Skills

Annotation tools

Attention to detail

ML basics

Guideline compliance

Self-motivation (remote)

Tools

Annotation platforms

Job description

We are hiring for one of our clients, seeking a Data Annotator to work on a Full-Time basis. The role involves tagging and labeling data to improve machine learning models. This includes processing text, images, and audio for AI training purposes.

Key Responsibilities:

• Review and annotate text, images, or audio data according to provided guidelines.
• Ensure accuracy and consistency in labeling to support model performance.
• Follow established annotation protocols and maintain quality standards.
• Collaborate with team members to clarify annotation tasks when needed.
• Meet daily or weekly productivity targets for annotated data output.

Required Skills & Qualifications:

• Proficiency in data annotation tools and platforms.
• Strong attention to detail for accurate labeling and tagging.
• Basic understanding of machine learning and AI concepts.
• Ability to follow structured guidelines for consistent results.
• Self-motivated with the discipline to work independently in a remote setting.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI systems. The position supports scalable data processing for machine learning applications.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.