Open role at a frontier AI lab
Upload a resume once, then run an honest fit check on this role in seconds. Access is free and always will be.
Schedule: Flexible-you choose the hours and days you work, including weekends if desired
Our team is engaging Senior Advanced NDT and Imaging Specialists to participate in a customer's advanced inspection and data interpretation project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
• Review and interpret diverse NDT data sets, including industrial CT volumes, X-ray images, ultrasonic scans, shearography data, and fiber optic inspection records.
• Provide detailed written assessments and dispositions for inspection records, explaining findings and the rationale behind each decision.
• Deliver feedback on imaging quality, detection limits, and potential false positives or negatives in complex inspection scenarios.
• Apply standards knowledge (ASNT, NAS 410, EN 4179) to ensure evaluations align with industry best practices and regulatory compliance.
• Document expert recommendations and insights to support annotation, labeling, and model development tasks.
• Collaborate asynchronously through clear written and verbal communications to refine project deliverables and address technical queries.
• 7+ years of advanced experience in NDT, with Level II or Level III certifications in industrial CT, X-ray, ultrasonic, shearography, or fiber optic inspection.
• Proven track record interpreting real-world inspection data in industries such as aerospace, nuclear, automotive, battery, composites, or tire manufacturing.
• ASNT, NAS 410, or EN 4179 certification (required).
• Expertise in specialist imaging modalities, including EPRI-qualified nuclear UT analysis, composite and battery inspection, or tire NDT.
• Strong written and verbal communication skills for documenting findings and collaborating remotely.
• Attention to detail and a methodical approach to technical evaluations and reporting.
• Familiarity with digital platforms or remote collaboration tools a plus.