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.
About Digital Divide Data (DDD)Digital Divide Data (DDD) is a US-based non-profit, mission-driven enterprise with the goal of using technology and digital skills to bridge the divide between economically and socially marginalized youth and employment opportunities that lead to a sustainable and viable future. DDD identifies talented but underserved youth in Africa and Asia (Kenya, Cambodia, and Laos are the main centers) to enter formal employment, undergo professional training and skills development, and pursue tertiary education. Our headquarters are in New York, and we have over 1,500 employees across our operations in Kenya, Cambodia, and Laos.Purpose of the roleThe Linguist performs quality translation, copy edit tasks, and on-demand video tasks, and ensures that the work is performed at a satisfactorily high standard within the specified deadlines and quality level; ensures that the Language Process is being followed when executing all tasks.
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