Junior AI Quality Assurance & Validation Analyst

jobr.pro; Annandale (VA); Hybrid; USD 60,000 - 80,000; Full time

Benefits offered by this job

Eleven Federal Holidays

Paid Time Off

Parental Leave

Medical plan choices with employer contribution

Dental and Vision Insurance

Company paid Short-Term and Long-Term Disability

401k with competitive matching

Continuing education assistance

Wellness benefits including Calm Health app

Pet Insurance

Job summary

jobr.pro is seeking an AI Quality & Validation Specialist to test and validate applications and AI solutions. This hybrid position is perfect for detail-oriented individuals who can evaluate system behavior and identify any quality issues.

Ideal candidates will have 1-3 years of relevant experience, strong communication skills, and a focus on continuous improvement. The role involves close collaboration with technical teams and project leads, ensuring all outputs meet high-quality standards.

Qualifications

• 1–3 years of relevant experience in software testing or quality assurance.
• Strong attention to detail to identify defects or quality issues.
• Ability to document findings clearly and provide feedback.

Responsibilities

• Support functional, regression, and user-focused testing of applications.
• Evaluate AI-generated outputs for quality and relevance.
• Identify, document, and track software defects and content issues.

Skills

Attention to detail

Documenting findings

Written and verbal communication

End-user perspective

Education

Associate’s / Bachelor’s Degree in a related field

Tools

Defect tracking tools

Agile delivery environments

Job description

jobr.pro is seeking an AI Quality & Validation Specialist to test and validate applications and AI solutions. This hybrid position is perfect for detail-oriented individuals who can evaluate system behavior and identify any quality issues.

Ideal candidates will have 1-3 years of relevant experience, strong communication skills, and a focus on continuous improvement. The role involves close collaboration with technical teams and project leads, ensuring all outputs meet high-quality standards.