Senior Technical Documentation & Parts Annotation (Remote)

Remotebridge; United States; Remote; USD 55.000 - 110.000; Teilzeit

Zusammenfassung

Remotebridge is seeking a Senior Technical Documentation, Parts and Annotation Specialist to contribute deep domain knowledge to a customer project. You will train AI models using high-quality real-world input while operating remotely and autonomously.

Ideal candidates have 5+ years in mechanical technical writing, parts analysis, or pattern documentation, with strong abilities in interpreting drawings and BOMs and in QA across annotated data.

Qualifikationen

• Minimum 5 years of experience in mechanical technical writing or parts analysis.
• Proven ability to interpret BOMs and engineering drawings.
• Strong analytical, visual, and spatial reasoning.
• Experience with ontologies or quality assurance in complex datasets.
• Ability to communicate reasoning in written form for project documentation.

Aufgaben

• Transform engineering drawings and BOMs into precise assembly procedures for technical manuals.
• Identify, verify, and document replacement parts based on photos, nameplates, and catalogs.
• Interpret production patterns and cutting-room plans for apparel or industrial fabrication.
• Conduct QA reviews on annotated image batches against project ontologies and guidelines.
• Produce clear rationales for decisions and recommendations for model training.
• Review and refine real-world documents, photos, patterns or annotation data for senior-level outputs.
• Collaborate remotely with project coordinators and submit deliverables within timelines.

Jobbeschreibung

Remotebridge is seeking a Senior Technical Documentation, Parts and Annotation Specialist to contribute deep domain knowledge to a customer project. You will train AI models using high-quality real-world input while operating remotely and autonomously.

Ideal candidates have 5+ years in mechanical technical writing, parts analysis, or pattern documentation, with strong abilities in interpreting drawings and BOMs and in QA across annotated data.