QA Engineer | $105/hr | Remote

The Ai Training Company; United States; Remote; USD 50,000 - 90,000; Full time

Job summary

The Ai Training Company is seeking experienced Quality Analysts, QA reviewers, and evaluation specialists to review work products and ensure high quality across projects.

You will evaluate outputs against defined standards, document errors clearly, and provide actionable feedback while helping improve quality processes over time. This role supports distributed teams across multiple time zones and requires strong analytical and communication skills.

Qualifications

• Professional experience in quality assurance, quality control, auditing, evaluation, or related fields.
• Strong attention to detail and the ability to identify errors, inconsistencies, and incomplete work.
• Ability to provide clear, actionable feedback and follow detailed rubrics.

Responsibilities

• 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.

Skills

Attention to detail

Analytical thinking

Feedback writing

Rubric-based review

Independent work

Remote collaboration

Quality assurance

Data quality

Job description

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.

Strong candidates may have experience with:

• Quality assurance
• Quality control
• Quality audits
• Rubric-based review
• Error identification
• Data validation
• Data annotation QA
• Content review
• Document review
• Compliance review
• Root-cause analysis
• Trend analysis
• Quality metrics
• Reviewer calibration
• Sampling and spot checks
• Escalation workflows
• Process improvement
• Standard operating procedures
• 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
• 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.