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Production Lead

Label Your Data·$80,000 – $105,000

Primary stack

Quality AssuranceProblem Solving

Nice to have's

CommunicationTime managementCollaborationAssemblyTroubleshooting

Job description

About the Position

Production Lead

San Jose, CA

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

Figure’s vision is to deploy autonomous humanoids at a global scale. Our Manufacturing team is looking for a Production Lead to help drive daily execution on the factory floor. In this role, you’ll work closely with supervisors, engineers, and quality teams to deliver against production schedules while ensuring the highest standards of safety, quality, and efficiency. You’ll be hands-on, coordinating work across teams, resolving issues in real time, and stepping onto the line when needed to keep builds on track.

Responsibilities

  • Lead by example to maintain a safe, clean, and compliant work environment.
  • Assign daily tasks and coordinate resources to meet production schedules and quality targets.
  • Monitor production flow, track progress, and provide updates on priority work orders.
  • Verify readiness of lines, components, and equipment; support set-ups and changeovers.
  • Assist with troubleshooting and resolving quality, equipment, or process issues.
  • Review and complete production documentation to ensure accuracy and compliance.
  • Conduct shift passdowns and cross-functional updates.
  • Support employee training and development; step in for absent operators when needed.
  • Partner with supervisors to drive Lean Manufacturing initiatives and continuous improvement.

Requirements

  • AS degree or equivalent experience (high school diploma or GED required).
  • 3+ years in a regulated manufacturing environment, with 1+ year in a leadership role.
  • Hands-on experience in assembly, manufacturing, or production (robotics, automotive, aerospace, or electronics preferred).
  • Strong problem-solving and troubleshooting skills, with attention to detail.
  • Ability to collaborate across teams and deliver against production goals.
  • Excellent communication and time management skills.
  • Comfortable lifting up to 50 lbs., working with hand tools, and handling chemicals with PPE.

We Offer

  • Competitive Salary: Between $80,000 - $105,000 annually.
  • Full-time Employment: Join a dynamic team in a full-time role.
  • On-site Work Location: Work directly at our headquarters in San Jose, CA.

About the Company

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

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Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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