Note: The job is a remote job and is open to candidates in USA. Insight Global is seeking a Technical Lead, Computer Vision Data Operations to oversee and scale computer vision and AI training data programs. The role leads annotation teams, manages quality and operational performance, partners with technical stakeholders, and drives process improvements for high-quality datasets.
Responsibilities
- Lead, mentor, and support Vision Data Specialists and annotation team members
- Conduct performance coaching, quality reviews, and ongoing feedback sessions
- Support recruiting, interviewing, and hiring efforts
- Develop and deliver onboarding and training programs
- Foster a culture of accountability, quality, and continuous improvement
- Audit annotation outputs across image and video datasets
- Monitor quality, accuracy, throughput, productivity, and operational performance metrics
- Identify labeling issues and determine root causes
- Develop corrective action plans and quality improvement initiatives
- Maintain annotation consistency and dataset integrity across projects
- Support quality calibration exercises and review processes
- Partner with AI researchers, engineers, project managers, and stakeholders
- Review ambiguous annotation scenarios and establish guidance
- Escalate risks, quality concerns, and operational challenges
- Translate technical concepts into actionable instructions for annotation teams
- Support project planning, execution, and operational decision-making
- Analyze operational performance trends and quality metrics
- Recommend enhancements to workflows, tooling, and annotation guidelines
- Contribute to process optimization and operational scaling initiatives
- Create documentation, best practices, and knowledge-sharing resources
- Develop reporting and operational updates for leadership
Skills
- • Bachelor's Degree required
- • U.S. Citizenship required
- • 2-5+ years of leadership experience in Data Annotation, Computer Vision Operations, AI Training Data, Content Operations, or Data Quality programs
- • Experience conducting annotation audits and dataset quality reviews
- • Experience onboarding, coaching, mentoring, and developing team members
- • Demonstrated success improving quality, productivity, and operational metrics
- • Strong understanding of annotation workflows and dataset governance
- • Experience performing root cause analysis and implementing corrective actions
- • Ability to manage competing priorities across multiple projects and workstreams
- • Strong written and verbal communication skills
- • Experience partnering with researchers, engineers, technical teams, and project stakeholders
- • Experience supporting computer vision and visual AI datasets
- • Experience with bounding box annotation, image segmentation, classification programs, and object tracking workflows
- • SQL and/or Python experience
- • Experience developing annotation standards and quality frameworks
- • Workforce planning and resource allocation experience
- • Experience scaling annotation operations and distributed teams
- • Experience building QA methodologies and performance frameworks
- • Familiarity with AI model evaluation environments and RLHF programs
Benefits
- Fully remote opportunity
- Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching.
- Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
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