Data Annotator — Precision, Growth & Impact

eFLEXervices, Inc.; Baguio; On-site; PHP 279,000 - 446,000; Full time

Benefits offered by this job

Competitive salary

HMO coverage

Flexible vacation

Job summary

eFLEXservices, Inc. is seeking a meticulous Data Annotator to join our team in the Philippines. You will annotate and review data with a focus on accuracy, learn new guidelines quickly, and use annotation tools to support high-quality outputs.

You’ll collaborate across the team to keep datasets current, apply QA insights, and help improve data processes through hands-on experience and adaptability.

Qualifications

• At least 1 year of experience in data operations, research, annotation, QA, or a similar role.
• Strong attention to detail and commitment to producing high-quality work.
• Ability to quickly learn and apply new guidelines and procedures.
• Familiarity with tools such as Excel, Google Sheets, AWS, and LinkedIn.
• Excellent communication and collaboration skills
• Must be tech-savvy, able to work with multiple applications and a fast learner.
• Must have great organizational skills.

Responsibilities

• Review and annotate large volumes of data with high accuracy and attention to detail.
• Quickly learn and adhere to new guidelines and procedures for data annotation.
• Utilize data annotation tools and processes.
• Collaborate effectively with team members to ensure high-quality data annotations.
• Maintain a commitment to producing high-quality work in all tasks.
• Apply previous experience in data operations, research, annotation, and QA to improve processes.
• Ensure that the database is up to date.

Skills

Attention to detail

Fast learner

Organizational skills

Communication skills

Team collaboration

Tools

Excel

Google Sheets

AWS

LinkedIn

Job description

eFLEXservices, Inc. is seeking a meticulous Data Annotator to join our team in the Philippines. You will annotate and review data with a focus on accuracy, learn new guidelines quickly, and use annotation tools to support high-quality outputs.

You’ll collaborate across the team to keep datasets current, apply QA insights, and help improve data processes through hands-on experience and adaptability.