Project Manager - Robotics Data Collection

Innodata India Private Limited · Bangalore, India

Data Collection Planning & Execution

• Lead end-to-end field data collection operations, ensuring timely and high-quality capture of real-world human activities across diverse environments (supermarkets, retail stores, butcher shops, restaurants, warehouses, offices, public spaces).
• Develop daily collection schedules, location plans, and task assignments for field executives to meet project timelines and dataset coverage requirements.
• Oversee participant recruitment strategies, ensuring informed consent, privacy compliance, and worker safety during video capture.
• Conduct risk assessments and implement mitigation plans for field operations.
• Establish real-time quality assurance checks to ensure data integrity during collection.

Field Team Management

• Manage, coach, and support field executives responsible for capturing first-person (egocentric) and environment-based video datasets.
• Conduct regular training sessions on camera handling, capture techniques, safety protocols, participant instructions, and quality standards.
• Foster strong relationships with participants and local stakeholders to build trust and ensure smooth collaboration.
• Monitor team performance, provide feedback, and address issues promptly.
• Implement motivational strategies such as recognition programs, clear career paths, and fair compensation schemes.
• Handle conflict resolution and escalate field-level challenges when necessary.

Operational Coordination

• Coordinate with AI data operations teams, client stakeholders, and internal project managers to align collection activities with evolving project requirements.
• Manage logistics, equipment availability, permissions, and site readiness for successful field operations.
• Ensure compliance with local labor laws, workplace safety standards, and data protection regulations.
• Oversee project budgets, track expenses, and implement cost-control measures.
• Develop contingency plans for technical or logistical disruptions, including equipment failures and connectivity issues.

Participant Engagement & Consent

• Oversee the engagement with workers (butchers, waiters, cleaners, etc.) to explain project objectives and build trust.
• Manage informed consent processes, ensuring participants understand privacy safeguards and data usage.
• Address participant concerns proactively and provide clear communication channels for feedback.

Quality Assurance & Data Integrity

• Implement real-time QA checks during field capture to minimize unusable data.
• Establish audit processes to verify dataset accuracy and completeness.
• Collaborate with technical teams to design rubrics and validation workflows tailored to egocentric video datasets.

Risk & Compliance Management

• Identify and mitigate risks related to worker safety, privacy, and site operations.
• Ensure adherence to local data protection laws, and ethical standards in wearable-camera projects.
• Maintain incident response protocols and document compliance measures.

Reporting & Continuous Improvement

• Provide regular updates to stakeholders on progress, challenges, and solutions.
• Use feedback loops from clients, participants, and field teams to refine processes.
• Document lessons learned and propose improvements for future projects.