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Salary
≈ $15k – $34k per year (Estimated)
Location
Remote (India)
Seniority
Senior · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 30, 2026. First seen by Alion on Feb 23, 2026. Apiphany scores B on the Alion truth index.

Overview
Company
Impact
Profile match
The #1 physics-first AI platform for manufacturing and product engineering. Extract insights from unstructured engineering data across PLM, ERP, FMEA, and CAD. 5-15x more relevant than general-purpose LLMs.

We are looking for a Data Domain Specialist with prior industry experience who can help interpret and review client-provided mechanical and manufacturing-related data. This role acts as a bridge between client data and internal teams, ensuring the data being processed is relevant, accurate, and useful.

Key Responsibilities

  • Understand and review mechanical and manufacturing-related client data

  • Guide data processing teams on data relevance and usage

  • Help define tagging and classification guidelines

  • Review processed outputs and provide feedback for corrections

  • Support quality checks and validation activities

  • Assist during client discussions when domain input is required

Required Skills & Experience

  • 3-6 years of experience in mechanical engineering/electrical engineering/electronics engineering roles within OEMs or manufacturing organizations

  • Strong understanding of mechanical and manufacturing concepts

  • Ability to interpret technical data and explain it clearly to non-domain teams

  • Experience with reviewing, validating, or tagging data

Nice to Have

  • Experience working with Engineering design docs, BOM, PLM Software and CAD models

  • Experience working with data, analytics, or AI teams

  • Exposure to quality, process, or documentation-heavy projects

  • Familiarity with tools used for tagging or reviewing data

What We’re Looking For

  • Strong domain fundamentals with a practical mindset

  • Ability to make judgment calls on data relevance

  • Good communication and collaboration skills

Comfortable working in a fast-moving startup environment

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