Mechanical Data Engineer – Mechanical, Data Engineering

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Acquire, sanitize, transform, and organize customer and internally sourced engineering data for AI training and inference.

• Create and develop mechanical components and assemblies in CAD as the authoritative ground truth for assessing and training AI systems.

• Generate labeled datasets, reference designs, annotations, exploded views, sequences, and various engineering artifacts.

• Establish and evaluate output quality across datasets while maintaining standards for metadata, annotation, and model quality.

• Collaborate with Product Managers on annotation, data correction, model-output evaluation, and automation tooling for pipelines.

• Offer insights on tool usability, workflow effectiveness, and opportunities for automation.

• Formulate scalable and repeatable data processes that enhance throughput and data consistency.

• Work alongside engineering and research teams to comprehend model data requirements and identify failure modes.

• Provide representative engineering examples and authoritative mechanical designs to influence model performance.

• Convert domain requirements, industry standards, and customer data schemas into actionable dataset specifications.

• Act as a subject matter expert on mechanical engineering formats, CAD standards, manufacturing practices, and design artifacts.

• Produce technical documentation, exploded views, sequences, and annotations encoding engineering rationale into training data.

• Ensure datasets accurately represent real-world constraints, DFM considerations, material behaviors, and industry best practices.

• Engage with customers to comprehend data sources, schemas, formats, and quality expectations.

• Assist customers in preparing datasets, defining structured schemas, and enhancing data pipelines.

• Clearly communicate progress, highlight risks early, and assess external contractors for quality and adherence to SOPs.

⛳️ Requirements

• Profound domain expertise in mechanical engineering, manufacturing design, or industrial workflows.

• Practical 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).

• Capability to interpret intricate mechanical assemblies, technical drawings, GD&T, and engineering documentation.

• Experience in creating artifacts such as exploded views, work-step sequences, repair manuals, or manufacturing instructions.

• Strong problem-solving abilities and the skill to translate domain workflows into structured data requirements.

• Excellent communication and collaboration skills across various functions.

• Experience with data operations, labeling workflows, ML data pipelines, or the AI/ML data lifecycle (preferred).

• Background in fast-paced startup or high-growth settings (preferred).

• Comfort in customer-facing discovery or solutioning processes (preferred).

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and continuous learning.

• Flexible work hours and remote work options.

• Engaging company culture with team-building activities.