Data Collection Supervisor

Job description

Job responsibilities

• Run your shift end to end: coverage, attendance, breaks, task assignments, and clean handoffs to the next shift.
• Coach operators against quality scorecards within 24 hours of receiving them — side-by-side on the floor, not over email — and run re-certifications when someone drifts below the bar.
• Deliver onboarding training reps that get new operators to the certification bar quickly, and give honest pass/fail input on working interviews and ramp cohorts.
• Own first-line performance management: recognize strong work daily, address issues directly, and escalate to your Data Collection Manager when a pattern needs more than coaching.
• Coordinate with on-site technicians to keep rigs running — triage issues fast, minimize downtime, and log what broke and why.
• Report your shift's numbers daily: accepted episodes per operator-hour, rig uptime, attendance, and blockers.
• Enforce safety and data-handling procedures without exception.
• Feed what you learn upward: shift-level fixes that work become site playbook, and site playbook becomes how we launch the next location.

Job requirements

• 2+ years leading frontline hourly teams — as a shift lead, line lead, crew lead, or supervisor — in warehouse, fulfillment, manufacturing, production, food service at scale, or comparable hands-on operations.
• Experience coaching people to a measurable standard, and evidence you've made individuals visibly better at their jobs.
• Comfort with direct performance conversations — early, specific, and in person.
• Reliability that sets the tone: your team's attendance culture starts with yours, and shift flexibility (including evenings) is part of the job.
• Sharp attention to detail — this is precision work, and small deviations compound into bad training data.
• Able to work in person at your assigned collection site.
• Alignment with Nimble's values: relentlessly resourceful, humble, dependable, and committed to legendary impact.
• Experience in robotics, AV, motion capture, or AI data collection — or any environment where quality was measured per unit of work.