Quality Analyst

IFG - International Financial Group; United States; On-site; USD 100,000 - 140,000; Full time

Job summary

IFG - International Financial Group is seeking a dedicated quality engineering professional to design scalable testing frameworks for content, templates, and AI-derived experiences. You will set quality standards, develop automated workflows, and drive AI-assisted validation across cross-functional teams.

The role emphasizes translating data findings into actionable actions, balancing automation with human review, and advancing long-term content quality and AI evaluation strategies.

Qualifications

• Bachelor's degree in CS, Engineering, Data Science, or related field.
• 2+ years in content testing and automation with Python and automation tooling.
• Experience translating data findings into actionable recommendations and milestones.
• Experience with AI tooling (Copilot/VSCode) and related infrastructure is preferred.

Responsibilities

• Design scalable testing and evaluation frameworks for content, templates, prompt templates, and AI-generated experiences
• Define quality measurement approaches and establish testing standards across content ecosystem
• Create recommendations for balancing automation, AI evaluation, and human review
• Develop and implement automated testing workflows and validation systems
• Build tools and processes that reduce manual effort while maintaining content quality
• Identify opportunities to leverage AI for defect detection, content validation, and quality assurance
• Design human-in-the-loop evaluation frameworks for assessing AI outputs
• Establish quality rubrics, benchmarking criteria, and testing methodologies
• Determine where human judgment adds measurable value and where automation can scale operations
• Analyze testing metrics and operational data to identify improvement opportunities
• Develop recommendations that improve quality, efficiency, and testing coverage
• Measure the effectiveness of testing systems and continuously optimize workflows
• Partner with cross-functional teams on automation recommendations and evaluations of quality risks
• Drive adoption of testing standards and scalable evaluation practices
• Influence long-term strategy for content quality and AI evaluation programs

Skills

Python programming

Automation tooling

Quality engineering

Data interpretation

Systems thinking

Education

Bachelor's degree in Computer Science

Tools

Copilot

VSCode

Automation tools

Job description

Job Responsibilities

• Design scalable testing and evaluation frameworks for content, templates, prompt templates, and AI-generated experiences
• Define quality measurement approaches and establish testing standards across content ecosystem
• Create recommendations for balancing automation, AI evaluation, and human review
• Develop and implement automated testing workflows and validation systems
• Build tools and processes that reduce manual effort while maintaining content quality
• Identify opportunities to leverage AI for defect detection, content validation, and quality assurance
• Design human-in-the-loop evaluation frameworks for assessing AI outputs
• Establish quality rubrics, benchmarking criteria, and testing methodologies
• Determine where human judgment adds measurable value and where automation can scale operations
• Analyze testing metrics and operational data to identify improvement opportunities
• Develop recommendations that improve quality, efficiency, and testing coverage
• Measure the effectiveness of testing systems and continuously optimize workflows
• Partner with cross-functional teams on automation recommendations and evaluations of quality risks
• Drive adoption of testing standards and scalable evaluation practices
• Influence long-term strategy for content quality and AI evaluation programs

Requirements

• 2–4 years of experience in test automation, quality engineering, AI evaluation, or systems development
• Minimum 2 years of demonstrated experience in content testing and automation work, including hands-on use of Python and automation tool
• Minimum 2 years of demonstrated experience translating data findings into recommendations, actions, next steps, and milestones
• Minimum 1 year of experience with AI tooling such as Copilot or VSCode, with 2 years preferred; transferable experience with comparable AI tools is acceptable
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Artificial Intelligence, or a related field
• Strong experience with Python and automation tool
• Experience with AI tooling and infrastructure including Copilot and VSCode
• Experience building testing frameworks, quality systems, or workflow automation solutions
• Experience interpreting data and translating findings into strategic recommendations, actions, next steps, and milestones
• Strong technical problem-solving and systems-thinking skills
• Experience evaluating generative AI systems or LLM-powered products (preferred)
• Experience designing human evaluation programs or human-in-the-loop workflows (preferred)
• Familiarity with content quality measurement and content operations (preferred)
• Experience working with machine learning, AI quality, or model evaluation frameworks (preferred)
• Understanding of productivity software ecosystems (preferred)
• Experience building internal tools, dashboards, or quality monitoring systems (preferred)