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Gramian Consultancy is seeking a detail-oriented QA Review Team Lead to oversee QA activities for AI training data. You will manage QA reviewers, audit queues, and ensure outputs are accurate and timely, while mentoring team members and refining guidelines in a fast-paced setting.
The role is a contractor assignment for 16 weeks, remote across Brazil, Colombia, and India, with an hourly commitment up to 40h/week. Strong QA discipline and leadership are essential.
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
We are seeking a detail-oriented QA Review Team Lead to oversee quality assurance activities for AI training data and ensure annotated outputs are accurate, consistent, and delivered on time. In this role, you will lead QA reviewers, manage audit and review queues, assess annotation quality, identify recurring errors, and provide clear, actionable feedback to improve team performance. You will also train new reviewers, clarify guidelines for annotators, and provide clear, actionable feedback to improve team performance. The ideal candidate combines strong quality assurance skills with experience mentoring team members and applying detailed guidelines in a fast-paced environment.
CONTRACT: Contractor assignment, 16 weeks
COMMITMENT: Hourly, up to 40h/week
LOCATIONS: Remote -Brazil, Colombia, India
3-5 years of overall professional experience, including at least 1 year of experience leading, mentoring, or supervising reviewers or team members.
Strong attention to detail and the ability to apply complex guidelines consistently.
Excellent written and verbal communication skills.
Ability to provide constructive, actionable feedback and explain quality expectations clearly.
Strong organizational skills and the ability to manage multiple review queues and competing deadlines.
Ability to identify patterns in errors and support corrective actions.
Availability to work the specified schedule for the full 16-week project.