Job descriptions & requirements
ABOUT THE COMPANY
Digital Divide Data is an international social enterprise that builds bridges to opportunity in the global economy through socially responsible business process outsourcing.
JOB SUMMARY
Education & ExperienceBachelor’s degree in Computer Science, Engineering, Data/AI, or related fields.8+ years in AI/ML operations, technical solutioning, or program delivery.Experience with annotation workflows, robotics, AV/ADAS, or computer vision is a plus.Who We’re Looking ForTechnical ExpertiseStrong 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 ManagementExcellent communication, technical storytelling, and stakeholder management.Experience managing escalations, coaching teams, and leading in KPI-driven environments.
RESPONSIBILITIES
Client Partnership & Applied Solution DesignLead 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 LeadershipOversee 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 InsightsBuild 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 ImprovementRecommend 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 SupportProvide 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.
REQUIRED SKILLS
Programming, Artificial intelligence (AI), Partnerships, Software architecture
REQUIRED EDUCATION
Bachelor's degree
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