Quality Assurance Technical Lead

Global Connect Technologies; Los Angeles (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Global Connect Technologies is seeking an experienced Technical Lead QA / Project Lead & Quality Expert (PLQE) to oversee QA and data collection for AI/ML training projects. The role demands 6–8 years of relevant experience, proven mentoring skills, and a track record of delivering high-quality results while coordinating with stakeholders and clients.

You will lead end-to-end data collection activities, perform quality audits, guide teams across shifts, manage project artifacts and reporting,

Qualifications

• Bachelor's degree required; Master's or Ph.D. preferred.
• 6–8 years in QA, project leadership, data collection operations, or a similar technical environment.
• Prior experience leading or mentoring teams in a Team Lead or Acting Team Lead capacity.

Responsibilities

• Lead end-to-end data collection projects, ensuring quality, compliance, and timely delivery.
• Supervise project setup, implementation, execution, and quality control activities.
• Perform quality audits on at least 10% of completed data collections and provide actionable feedback.
• Mentor, coach, and support project associates to achieve performance and quality goals.
• Track project metrics, analyze trends, and prepare reports for Weekly Reviews, MBRs, and QBRs.
• Coordinate with stakeholders to understand project requirements and resolve operational challenges.

Skills

QA leadership

Data collection operations

Mentoring

Stakeholder management

Project leadership

Quality assurance processes

Linux shell

Google Workspace

Education

Bachelor's degree

Master's degree

PhD

Tools

Firmware deployment

Job description

We are seeking an experienced Technical Lead QA / Project Lead & Quality Expert (PLQE) to lead quality assurance and data collection operations for AI/ML training projects. The ideal candidate will have 6-8 years of experience in QA, project leadership, or data collection operations, with proven experience mentoring teams, managing stakeholders, and ensuring high-quality project execution. This role requires strong leadership, technical aptitude, and the ability to oversee end-to-end data collection projects while maintaining compliance with client quality standards.

Key Responsibilities

• Lead end-to-end data collection projects, ensuring quality, compliance, and timely delivery.
• Supervise project setup, implementation, execution, and quality control activities.
• Perform quality audits on at least 10% of completed data collections and provide actionable feedback.
• Mentor, coach, and support project associates to achieve performance and quality goals.
• Track project metrics, analyze trends, and prepare reports for Weekly Reviews, MBRs, and QBRs.
• Coordinate with stakeholders to understand project requirements and resolve operational challenges.
• Manage project artifacts, reporting, bug triaging, and documentation.
• Oversee device setup, inventory, tracking, shipping, firmware deployment, and maintenance.
• Conduct quality evaluations, data collection sessions, and client demonstrations.
• Identify risks, resolve blockers proactively, and drive continuous process improvements.
• Cross-train new team members and ensure adherence to project protocols and compliance standards.
• Maintain effective communication with clients and internal teams throughout the project lifecycle.

Required Qualifications

• Bachelor's degree required; Master's or Ph.D. preferred.
• 6-8 years of experience in QA, project leadership, data collection operations, or a similar technical environment.
• Prior experience leading or mentoring teams in a Team Lead or Acting Team Lead capacity.
• Strong understanding of quality assurance processes, audits, and operational reporting.
• Experience with firmware deployment, system rollbacks, and device management.
• Comfortable working in Linux/Unix shell environments and executing command-line operations.
• Experience reviewing and validating technical documentation or product datasheets.
• Proficiency with Google Workspace (Sheets, Docs, Slides).
• Excellent analytical, problem-solving, communication, and organizational skills.
• Ability to multitask, manage priorities, and work effectively under tight deadlines.
• Flexible to work across shifts and adapt to changing business requirements.
• Strong attention to detail with a proven track record of maintaining high-quality standards.
• No attendance or compliance issues.

Preferred Skills

• Experience supporting AI/ML data collection or annotation projects.
• Knowledge of quality metrics, process improvement methodologies, and stakeholder management.
• Experience managing cross-functional teams and client-facing projects.
• Strong decision-making, critical thinking, and leadership abilities.