Digital Divide Data (DDD) is a BPO that delivers ML data solutions and content services to Fortune 500 companies and the world’s leading academic institutions. DDD is unique in its ability to deliver end-to-end data creation, curation, labeling, and annotation services, regardless of scale, with a guaranteed level of quality.

Client Partnership & Applied Solution Design

• Lead discovery sessions to understand client datasets, workflows, and ML objectives.

• Translate technical requirements into structured workflows, annotation guidelines, and quality frameworks.

• Provide clients with performance insights, delivery updates, and workflow recommendations.

• Identify opportunities to optimize or expand ongoing programs.

Program Delivery Leadership

• Oversee daily execution of AI/ML/CV/AV/ADAS workflows to meet accuracy, throughput, and timeline SLAs.

• Guide onboarding, calibrations, workflow transitions, and guideline updates.

• Partner with Delivery Leads on staffing, training, and production readiness.

• Maintain documentation and ensure alignment across teams.

Analytics, Quality & Root-Cause Insights

• Build dashboards and reports tracking accuracy, IAA, errors, productivity, and latency.

• Lead root-cause analyses and collaborate with QA/Training teams to drive improvements.

• Provide actionable insights that improve model training data and system performance.

• Communicate analytics to clients and internal technical teams.

Innovation & Continuous Improvement

• Recommend process optimizations using data trends and team feedback.

• Promote adoption of automation tools: pre-labeling, AI-assisted annotation, QC automation.

• Improve sampling, auditing, and annotation consistency frameworks.

Commercial & Pre-Sales Support

• Provide technical inputs for proposals, pricing, and Statements of Work (SOWs).

• Support RFI/RFP submissions with workflow and technical expertise.

• Participate in demos and client evaluations alongside Business Development.

Who We’re Looking For

Technical Expertise

• Strong understanding of annotation workflows for 2D/3D CV, NLP, LiDAR/RADAR, AV/ADAS datasets.

• Proficiency with tools like Labelbox, SuperAnnotate, Scale AI, CVAT.

• Experience designing workflows, taxonomies, guidelines, and quality processes.

• Solid analytics skills: Excel mastery; SQL/Python familiarity; experience with PowerBI/Tableau/Looker.

Leadership & Client Management

• Excellent communication, technical storytelling, and stakeholder management.

• Experience managing escalations, coaching teams, and leading in KPI-driven environments.

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, Data/AI, or related fields.

• 5+ years in AI/ML operations, technical solutioning, or program delivery.

• Experience with annotation workflows, robotics, AV/ADAS, or computer vision is a plus.

Why Join DDD?

• Work at the cutting edge of global AI innovation.

• Collaborate with cross-functional technical teams solving real-world problems.

• Grow your leadership, technical, and analytics skills in a mission-driven organization.

• Help shape the datasets that power next-generation AI systems.