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.
Job DescriptionClient 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.
MUST have BPO Experience
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.
Skills Required
- Strong understanding of annotation workflows for 2D/3D computer vision, NLP, LiDAR/RADAR, AV/ADAS datasets
- Proficiency with annotation tools: Labelbox, SuperAnnotate, Scale AI, CVAT
- Experience designing workflows, taxonomies, annotation guidelines, and quality processes
- Excel mastery and analytics skills
- Familiarity with SQL and Python
- Experience with BI/visualization tools: PowerBI, Tableau, Looker
- Bachelor's degree in Computer Science, Engineering, Data/AI, or related field
- 5+ years in AI/ML operations, technical solutioning, or program delivery
- BPO experience
- Excellent communication, stakeholder management, escalation handling, and KPI-driven team leadership
- Experience with robotics, AV/ADAS, or computer vision (additional)
What We Do
Digital Divide Data (DDD) provides end-to-end AI and autonomy solutions, specializing in human-in-the-loop data annotation, validation, and ML model training. Trusted by Fortune 500 companies and government entities, DDD supports the lifecycle of autonomous systems and generative AI. Founded in 2001, the company operates on a unique social impact model, providing professional opportunities and education to talented youth from low-income backgrounds, while ensuring high-quality, reliable AI performance.
