Data Annotator

Seattle, OR - USA

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

We are seeking diligent detail-oriented Data Annotators to join our dynamic team. As a Data Annotator you will play a critical role in enhancing machine learning models by accurately labeling categorizing and annotating data sets including text images audio and video. Your work will directly impact the accuracy and performance of cutting-edge AI systems.

Key Responsibilities:

Accurately label and annotate various types of data (text image audio video) according to provided guidelines and project requirements.

Review correct and validate annotations to ensure accuracy and consistency.

Collaborate with data scientists and engineers to clarify annotation guidelines and standards.

Identify and report data quality issues or ambiguities encountered during annotation.

Meet daily/weekly annotation targets and maintain productivity and quality standards.

Maintain confidentiality of sensitive information and adhere to data security policies.

Participate in training sessions and regular feedback reviews to maintain high accuracy levels.

Qualifications:

High school diploma or equivalent required; Associates or Bachelors degree preferred.

Prior experience in data annotation labeling or a similar field is highly desirable.

Exceptional attention to detail and ability to follow complex instructions precisely.

Strong analytical and problem-solving skills.

Proficient computer skills and familiarity with relevant annotation tools/software.

Excellent written and verbal communication skills in English.

Ability to work independently and collaboratively as part of a remote or onsite team.

Legal authorization to work in the United States; current US residency required.

Compensation and Benefits:

Annual Salary: $45000 - $60000.

Comprehensive health dental and vision insurance

Paid time off (vacation sick leave and holidays)

401(k) retirement plan with company match

Professional development and training opportunities

Remote work flexibility (where applicable)

Employee assistance program (EAP)

Inclusive and supportive work environment