QA Engineer | €100/hr | Remote

Quality Analysts, QA Reviewers, QA Engineer & Evaluation Specialists.
We are seeking experienced Quality Analysts, Quality Assurance Specialists, Quality Reviewers, QA Professionals, and Evaluation Specialists to review work products, identify issues, and help maintain consistently high quality across projects.
You will evaluate outputs against defined standards and rubrics, document errors clearly, provide actionable feedback, and help improve quality processes over time.
What You’ll Do
Review completed work against quality standards, rubrics, guidelines, and acceptance criteria
Identify factual errors, inconsistencies, omissions, formatting issues, and quality gaps
Provide clear, structured, and actionable written feedback
Evaluate whether outputs fully satisfy task requirements
Track recurring errors, failure patterns, and quality trends
Support calibration and consistency across reviewers and contributors
Help improve quality checklists, review processes, rubrics, and evaluation criteria
Perform spot checks, audits, and secondary reviews
Escalate unclear or high-risk quality issues when appropriate
Collaborate asynchronously with distributed teams across multiple time zones
Maintain accurate quality documentation and review records
Who Can Apply
Relevant backgrounds include:
Quality Analysts, Senior Quality Analysts, Quality Assurance Analysts, QA Analysts, Quality Assurance Specialists, Quality Specialists, Quality Reviewers, Quality Evaluators, Quality Control Analysts, QC Analysts, Quality Auditors, and Quality Assurance Reviewers.
We also welcome:
Content Quality Analysts, Data Quality Analysts, Data Quality Specialists, Data Reviewers, Data Validation Analysts, Annotation Quality Analysts, AI Quality Analysts, AI Evaluators, Model Evaluators, LLM Evaluators, Human Feedback Specialists, Evaluation Specialists, and Rubric Evaluators.
Operations and review backgrounds may include:
Operations Analysts, Process Quality Analysts, Business Process Analysts, Compliance Analysts, Audit Analysts, Internal Quality Reviewers, Quality Operations Specialists, Quality Coordinators, Process Improvement Specialists, and Continuous Improvement Analysts.
Editorial and content backgrounds may include:
Editors, Copy Editors, Proofreaders, Content Reviewers, Editorial Quality Specialists, Content Moderation Quality Analysts, Content Analysts, Documentation Reviewers, Technical Editors, and Writing Quality Reviewers.
Technical backgrounds may include:
Software QA Analysts, Test Analysts, QA Engineers, Software Testers, Technical Reviewers, Data Analysts, Business Analysts, Technical Analysts, and Documentation Specialists with strong review and evaluation experience.
Relevant Experience
Strong candidates may have experience with:
Quality assurance
Quality control
Quality audits
Output evaluation
Rubric-based review
Error identification
Data validation
Data annotation QA
Content review
Document review
Accuracy checking
Consistency checking
Compliance review
Root-cause analysis
Trend analysis
Quality metrics
Reviewer calibration
Sampling and spot checks
Escalation workflows
Process improvement
Standard operating procedures
Checklist development
Feedback writing
Acceptance criteria
Quality scoring
Performance monitoring
Strong candidates should be able to:
Catch subtle errors others may miss
Follow detailed guidelines consistently
Distinguish minor issues from significant quality failures
Explain exactly why something does or does not meet the standard
Give constructive feedback without being vague
Apply rubrics consistently across many different outputs
Recognize patterns in repeated errors
Work accurately under changing or evolving standards
Make sound judgment calls when instructions do not cover every edge case
Maintain high attention to detail over extended review sessions
Requirements
Professional experience in quality assurance, quality control, auditing, evaluation, review, data quality, content quality, or a closely related field
Strong attention to detail
Excellent written communication
Ability to identify errors, inconsistencies, and incomplete work
Ability to provide clear and actionable feedback
Comfortable following detailed rubrics and structured guidelines
Strong analytical and professional judgment
Comfortable working independently
Ability to adapt to evolving standards and processes
Reliable internet connection and a quiet, focused workspace
Preferred Background
Experience with data annotation or data labeling quality
Experience evaluating AI-generated content or model outputs
Experience performing second-level or final quality reviews
Experience designing or improving rubrics and evaluation guidelines
Experience conducting reviewer calibration
Experience with quality metrics and reporting
Experience identifying systematic error patterns
Experience working with distributed or remote teams
Background in technical, analytical, editorial, research, business, or data-focused environments
Experience mentoring reviewers or providing contributor feedback
Experience improving SOPs, checklists, and quality-control processes
This opportunity is ideal for professionals who naturally notice inconsistencies, can apply standards consistently, and can explain exactly what is wrong, why it matters, and how the work should be improved. We are a referral partner of the client.

Work arrangement
No