QA Strategist

Voiceflow; United States; Remote; USD 70,000 - 90,000; Full time

Job summary

A technology firm is seeking a QA Strategist for a full-time remote position to enhance quality assurance processes across projects. Key responsibilities include developing QA standards, ensuring consistency, and collaborating with stakeholders to improve the accuracy of AI training datasets. The ideal candidate will have experience in quality assurance and a strong ability to solve data quality issues.

Qualifications

• Experience in developing and documenting quality assurance standards.
• Ability to identify data quality issues and propose solutions.
• Strong collaboration skills with internal and external stakeholders.

Responsibilities

• Support the QA Lead in the development of QA standards.
• Ensure consistent application of QA processes.
• Conduct quality reviews of the external Expert Reviewer pool.

Job description

Location

US Remote

Employment Type

Full time

Location Type

Remote

Department

Data DeliveryQuality Assurance

About us

At Pareto.AI, we’re on a mission to enable top talent around the world to participate in the development of cutting-edge AI models.

In coming years, AI models will transform how we work and create thousands of new AI training jobs for skilled talent around the world. We’ve joined forces with top AI and crowd researchers at Anthropic, Character.AI, Imbue, Stanford, and University of Pennsylvania to build a fair and ethical platform for AI developers to collaborate with domain experts to train bespoke AI models.

Context

To strengthen and standardize our approach to data quality at scale, we propose creating a QA Strategist role under the QA Lead. This position will help ensure our QA practices grow with the organization, adapt effectively to increasing project volume and evolving demands, and consistently deliver high-quality, client-aligned datasets.

Role Overview

The QA Strategist is a full-time role reporting to the QA Lead. This position will focus on the design, implementation, and validation of quality assurance processes across projects, with the goal of improving data reliability, consistency, and efficiency. The position will also provide flexible support on quality-related tasks as needs arise.

Core Responsibilities

• Support the QA Lead in developing and documenting QA standards and best practices.

• Ensure QA processes are applied consistently across projects.

• Help identify recurring data quality issues and propose solutions.

• Provide guidance and support to project teams on QA methods.

• Collaborate with internal stakeholders and external partners to align on quality expectations and processes.

• Assist in preparing quality-related updates and reports for clients and leadership.

• Conduct quality reviews of the external Expert Reviewer pool when needed to ensure alignment with established standards.

• Provide flexible support on quality-related tasks to address immediate priorities.

Expected Impact

• Improved accuracy and reliability of AI training datasets.

• Consistent QA standards and processes across projects.

• Reduction in recurring systemic quality issues.

• Scalable QA processes to support future growth.