AI Engineer

• Manage assigned data collection projects from initiation through final delivery
• Translate client requirements into structured plans, timelines, milestones, and execution workflows
• Design collection strategies defining participant profiles, geographic coverage, devices, environments, metadata requirements, and quality criteria
• Run pilot collections, assess results, identify operational gaps, and refine methodologies before production scaling
• Identify, evaluate, and coordinate freelancers, field resources, communities, agencies, and external vendors
• Plan resources and capacity, monitor performance, and adjust resource allocation
• Establish quality-control workflows and validate collected data against client specifications
• Identify recurring data issues and manage corrective actions, rejections, and recollection
• Communicate with clients about requirements, progress, risks, feasibility, and operational challenges
• Monitor commitments, dependencies, costs, and delivery risks; resolve bottlenecks and escalate concerns
• Document methodologies and build reusable SOPs, templates, and checklists
• Continuously improve collection workflows and strengthen AI data operations across domains, geographies, and data modalities

Explore Data Collection Lead, AI/ML Data Programs at Whitecollars. Review requirements and application details.

Data Collection Lead, AI/ML Data Programs

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