Robotics Data Quality & Process Leader

Genesis AI; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Genesis AI is seeking a data-quality and process-lead role to own the metrics, acceptance standards, and QA systems that ensure high-quality data for model training. You will collaborate with collection, QA, and model teams to define and enforce criteria, driving continuous improvement across global sites.

The ideal candidate has 5–10 years leading data or quality teams, a track record building quality functions, and comfort with robotics or sensor-derived data.

Qualifications

• Five to ten years leading data, quality, or operational teams.
• Metric-driven with root-cause analysis and continuous improvement.
• Built a quality function and acceptance standard from scratch.
• Quality-first mindset that keeps throughput steady.
• Robotics or sensor-data fluency is a strong plus.

Responsibilities

• Own data-quality metrics. Own accuracy, consistency, rework rate, first-pass yield, and accept-rate every lane is measured against, and report them to leadership.
• Make the acceptance bar a written contract. Publish a versioned acceptance standard and a defect taxonomy every site grades against, so good is defined, not argued.
• Build the QA and audit system. Stand up the review pipeline, audit process, and escalation workflow that catch problems on the floor and at annotation, every day.
• Close the loop with operators fast. Run a feedback turnaround quick enough to change operator behavior the same week, and turn edge cases into guideline updates.
• Engineer and standardize the process. Turn how we collect into documented, repeatable work, so each site and station ramps faster than the last.
• Translate model needs into the bar. Be the point of contact between collection, QA, and the model team, turning what the model needs into clear acceptance criteria.

Skills

Data quality

Process ownership

SQL

Python

Six Sigma

Robotics data fluency

Job description

Genesis AI is seeking a data-quality and process-lead role to own the metrics, acceptance standards, and QA systems that ensure high-quality data for model training. You will collaborate with collection, QA, and model teams to define and enforce criteria, driving continuous improvement across global sites.

The ideal candidate has 5–10 years leading data or quality teams, a track record building quality functions, and comfort with robotics or sensor-derived data.