Job Description
IT Jobs, Digital Divide Data Jobs.
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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.
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How to Apply
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