AI Operations, QA Analyst

Apply Minds

AI Operations & QA Analyst ensuring accuracy, completeness, and reliability of AI-generated outputs for Apply Minds. Collaborating with teams to enhance performance of AI solutions in a remote setting.

Posted 7/25/2026full-timeRemote • 🇵🇭 PhilippinesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quality assurance and software testing, with a strong focus on data validation, document review, and defect management. Proficient in utilizing testing tools and methodologies to ensure deliverables meet quality and compliance standards.

Highest-signal resume keywords

Quality Assurance ExperienceData Validation SkillsDefect ManagementTesting DocumentationMicrosoft Excel Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quality AssuranceSoftware TestingData ValidationDocument ReviewDefect IdentificationRegression TestingTest Case CreationExploratory TestingUser Acceptance TestingAnalytical Skills

Soft Skills

Attention to DetailStrong Communication SkillsOrganizational SkillsTime ManagementIndependent Work

Tools & Technologies

Microsoft ExcelGoogle SheetsJiraAzure DevOpsMicrosoft OfficeGoogle WorkspaceAI PlatformsBrowser Developer ToolsTest Management ToolsQA Documentation Platforms

Industry Keywords

AI OutputsTesting ProceduresValidation LogsQuality ControlCompliance Standards

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Review AI-generated summaries, extracted data, classifications, and responses for accuracy and completeness
Compare AI outputs against original source documents and identify discrepancies
Validate information extracted from PDFs, scanned documents, forms, and structured datasets
Execute manual functional, regression, exploratory, and user acceptance testing (UAT) where required
Create, maintain, and execute structured test cases and test scenarios
Identify, document, and report defects with clear reproduction steps and supporting evidence
Verify defect fixes and perform regression testing before releases
Maintain QA trackers, validation logs, and testing documentation
Support document classification, data validation, and quality control activities
Review AI confidence scores and investigate low-confidence or inconsistent outputs
Escalate complex or high-risk cases to the appropriate stakeholders
Collaborate with Product, Engineering, and AI teams to improve system quality and performance
Contribute to improving testing processes, validation procedures, and QA documentation
Ensure deliverables meet quality, accuracy, and compliance standards

Requirements

What you’ll need

Excellent attention to detail and a methodical approach to work
Strong written and verbal communication skills in English
Experience in quality assurance, software testing, data validation, document review, or a related analytical role
Ability to analyse information and identify inconsistencies or anomalies
Experience using Microsoft Excel or Google Sheets
Ability to follow structured processes, testing procedures, and documentation standards
Strong organisational and time-management skills
Comfortable working with large volumes of documentation and digital platforms
Ability to work independently in a remote environment while collaborating effectively with distributed teams
Technical Skills Experience with one or more of the following is advantageous: Microsoft Excel or Google Sheets Jira, Azure DevOps, or similar issue tracking tools Microsoft Office or Google Workspace AI platforms such as ChatGPT, Claude, Gemini, Microsoft Copilot, or similar Browser Developer Tools Test management tools and QA documentation platforms

Benefits

Comp & perks

Remote work opportunities that allow contributors to work from anywhere
Professional development opportunities
Support services for a diverse range of clients across industries