ChatGPT Jobs · 10 hours ago
Data Engineer - Manufacturing
United States
Full-time
Remote
Mid LevelChatGPT Jobs is an MIT-born, venture-backed Silicon Valley startup focused on reinventing design and manufacturing through Engineering General Intelligence. The Data Engineer - Manufacturing will transform raw customer data into structured datasets for AI model training, while collaborating with cross-functional teams to ensure data quality and reliability.
Computer Software
Responsibilities
Ingest, clean, transform, and structure customer and internally generated engineering data for AI training and inference
Design and build high-quality mechanical components and assemblies in CAD to serve as authoritative ground truth for evaluating and training AI systems
Produce labeled datasets, reference designs, annotations, exploded views, sequences, and other engineering artifacts that encode real-world reasoning
Apply engineering judgment to define and assess output quality across datasets
Continuously refine standards for metadata, annotation, and model quality, maintaining a living 'definition of quality' for ME datasets
Collaborate with Product Managers to shape tooling used for annotation, data correction, model-output review, and pipeline automation
Provide detailed feedback on tool usability, workflow efficiency, and automation opportunities
Help develop scalable, repeatable data processes that improve throughput and data consistency
Partner closely with engineering and research teams to understand model data requirements, failure modes, and areas needing new data
Influence model behavior by supplying representative engineering examples and ground-truth mechanical designs
Partner with customer-facing teams to translate domain requirements, industry standards, and customer data schemas into actionable dataset specifications
Serve as a subject matter expert on mechanical engineering formats, CAD standards, manufacturing practices, and design artifacts
Generate technical documentation, exploded views, sequences, and annotations that encode engineering reasoning into training data
Ensure that datasets reflect real-world constraints, DFM (Design for Manufacturing) considerations, material behavior, and industry best practices
Embed engineering reasoning into training data so that AI systems learn not just geometry or text, but engineering intent
Work with customers to understand their data sources, schemas, formats, and quality expectations
Guide customers in preparing high-quality datasets, defining structured schemas, and improving data pipelines
Support delivery timelines by communicating progress clearly and surfacing risks or issues early
Review and work with external contractors, ensuring high-quality output and adherence to SOPs
Qualification
Required
Strong domain expertise in mechanical engineering, manufacturing design, or industrial workflows
Hands-on experience with CAD tools such as SolidWorks, CATIA, Siemens NX, or Creo
Familiarity with annotation tools and illustration software (e.g., Creo Illustrate, Adobe Illustrator, Arbortext)
Ability to interpret complex mechanical assemblies, technical drawings, GD&T, and engineering documentation
Experience creating artifacts like exploded views, work-step sequences, repair manuals, or manufacturing instructions
Strong problem-solving skills and the ability to translate domain workflows into structured data requirements
Excellent communication and cross-functional collaboration skills
Preferred
Experience with data operations, labeling workflows, ML data pipelines, or AI/ML data lifecycle (collection -> labeling -> QA -> training -> evaluation -> deployment)
Experience in fast-paced startup or high-growth environments
Comfort with customer-facing discovery or solutioning
Company
ChatGPT Jobs
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Founded in 2024
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase