AI Data Operations & Annotation Team Lead

Gramian Consulting Group; Brasil; On-site; BRL 60,000 - 100,000; Full time

Job summary

Gramian Consulting Group is seeking an experienced AI Data Operations & Annotation Team Lead to oversee annotation teams delivering high-quality AI training data. You will manage daily workflows, guide annotators and Pod Leads, monitor productivity and quality metrics, and ensure timely delivery within tight deadlines.

The ideal candidate has 4–6 years of professional experience, with at least 2 years in a team leadership role, strong organizational and communication skills, and the ability to

Qualifications

• 4–6 years of overall experience with at least 2 in a team leadership/supervisory role.
• Proven ability to translate client guidelines into clear, actionable instructions for annotators.
• Experience meeting tight deadlines with 24-hour turnaround windows.

Responsibilities

• Manage annotation batches from start to final delivery, ensuring deadlines and quality.
• Translate client guidelines into clear instructions for annotators and Pod Leads.
• Lead annotation teams, set daily production targets, and allocate staffing.
• Monitor productivity, quality, turnaround times, and other metrics.
• Provide coaching, retraining, and remediation for performance gaps.
• Collaborate with QA and tooling to improve workflows and processes.
• Identify high-performing team members and support their development toward leadership.
• Track project progress and communicate updates to the Project Lead.
• Maintain consistent quality and efficiency in a fast-paced environment.

Skills

Leadership

Team management

Communication

Problem-solving

Organizational

Job description

About Gramian

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.

About the Role

We are seeking an experienced AI Data Operations & Annotation Team Lead to oversee annotation teams responsible for producing accurate, high-quality AI training data. In this role, you will manage daily workflows, guide annotators and Pod Leads, monitor productivity and quality metrics, and ensure timely delivery under tight deadlines, often within 24-hour turnaround windows. The ideal candidate has proven team leadership experience, strong operational and communication skills, and the ability to translate complex client guidelines into clear instructions while maintaining consistent quality and performance.

Key Responsibilities

• - Manage annotation batches from project launch through final delivery, ensuring deadlines and quality standards are met.
• - Review client guidelines and translate them into clear, actionable instructions for annotators and Pod Leads.
• - Lead and coordinate annotation teams, establish daily production targets, and maintain appropriate staffing and workload distribution.
• - Monitor productivity, quality, turnaround times, and other operational performance metrics.
• - Conduct coaching, retraining, and remediation to address performance gaps and recurring quality issues.
• - Partner with QA and tooling teams to identify bottlenecks and improve annotation workflows and processes.
• - Identify high-performing team members and support their development toward future leadership responsibilities.
• - Track project progress, identify operational risks and blockers, and communicate updates to the Project Lead.
• - Maintain consistent annotation quality and operational efficiency in a fast-paced environment with tight deadlines.

Requirements

• - 4–6 years of overall professional experience, including at least 2 years in a team leadership or supervisory role.
• - Proven experience managing teams against productivity, quality, and delivery targets.
• - Strong organizational, communication, problem-solving, and decision-making skills.
• - Ability to interpret complex guidelines and convert them into clear instructions and workflows.
• - Experience managing competing priorities, staffing needs, and time-sensitive deliverables.
• - Strong attention to detail and commitment to maintaining high-quality output.
• - Availability to work the specified schedule for the full 16-week project.