Dimensional Metrology Quality Engineer

Vaga abertapublicada em 08/11/2026
· expira em 07/01/2027# Dimensional Metrology Quality EngineerMicro1
· GlobalPJRemotoApplied-EngineeringCompartilharWhatsAppLinkedInTelegramX##

Descrição da vaga
Sobre a empresaAbout micro1 micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.
Role Title: Dimensional Metrology Quality Engineer Role Type: Contractor

Location:
Remote micro1 is engaging Dimensional Metrology Quality Engineers to contribute to a customer's project focused on advanced inspection and measurement solutions. 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. This opportunity involves evaluating and producing first-article inspection deliverables using 3D scanning and advanced metrology software, ensuring accuracy in scan-to-CAD comparisons, datum setups, and profile and position callouts. Your insight will help determine whether deviations arise from true part discrepancies or fixturing and alignment artefacts, supporting critical sign-off decisions on FAI reports. Scope of Work Review and validate first-article inspection (FAI) reports derived from 3D scan data.Skills* GD&T and first-article inspection
* 3D scanning and inspection software
* CMM measurement and uncertainty analysis
* Dimensional Metrology expertiseResponsabilidades* Review and validate first-article inspection (FAI) reports derived from 3D scan data.
* Conduct detailed scan-to-CAD comparisons, analyzing measurement deviations and their sources.
* Set up, interpret, and document datum structures, profiles, and position callouts as per industry standards.
* Utilize CMM measurement techniques and perform uncertainty analysis for dimensional integrity.
* Differentiate between actual part deviations and artefacts caused by fixturing or alignment issues.
* Deliver clear, comprehensive written and verbal feedback to support decision-making on FAI sign-off.
* Contribute nuanced, high-quality metrology input to inform and enhance AI system development.Requisitos* Expertise in Geometric Dimensioning & Tolerancing (GD&T) and FAI processes within manufacturing or quality environments.
* Proficiency with 3D scanning devices and inspection software (e.g., PolyWorks, GOM Inspect, or similar).
* Strong background in CMM measurement techniques and uncertainty analysis.
* Proven ability to interpret engineering drawings, CAD models, and technical specifications.
* Experience producing or approving FAI reports backed by practical metrology knowledge.
* Exceptional written and verbal communication skills, with a keen attention to explanatory detail.
* Analytical mindset for discerning true quality issues versus artefacts introduced by measurement setup.Remuneracao$40-70/hour (remote)Vagas abertas: 4 posicoes# publicidadeParticipe do nosso grupo no WhatsAppReceba vagas, conteúdos e atualizações diárias direto no seu celular.
Entrar no grupo →## Responsabilidades
* Confira os detalhes da vaga na descrição completa.## Dados completos da vagaEmpresa: Micro1Modelo de trabalho: RemotoTipo de contratação: PJÁrea da vaga: Applied-EngineeringLocalização: GlobalMétodo de candidatura: Candidatura por link externo## Como se candidatarAcesse a página de candidatura para ver os canais disponíveis.
Ir para página de candidatura