Senior Technical Documentation, Parts and Annotation Specialist

Remotebridge; United States; Remote; USD 55,000 - 110,000; Part time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Job description

Role Title: Senior Technical Documentation, Parts and Annotation Specialist

Role Type: Contractor

Location: Remote

Our team is engaging Senior Technical Documentation, Parts and Annotation Specialists to contribute their deep domain expertise to a customer's innovative project. 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.

Scope of Work

• Transform engineering drawings and bills of materials (BOMs) into precise, dependency-correct assembly procedures suitable for technical manuals.
• Identify, verify, and document industrial replacement parts and components based on photos, nameplates, and manufacturer or distributor catalogs, ensuring accurate fitment and application details.
• Interpret production patterns, markers, and cutting-room plans for apparel or industrial fabrication, verifying layout efficiency and technical correctness.
• Conduct quality assurance reviews on annotated image batches, adjudicating label accuracy against established project ontologies and annotation guidelines.
• Produce clear, defensible rationales for decisions and recommendations, capturing expert thought processes for model training purposes.
• Review and refine real‑world documents, photos, patterns, or annotation data, delivering outputs at the standard expected from a senior practitioner in your field.
• Collaborate remote with project coordinators, submitting deliverables through digital platforms within agreed project timelines.

Preferred Qualifications

• Minimum 5 years of experience in one or more of the following domains: mechanical technical writing, industrial parts/application analysis, production pattern planning, or computer vision annotation quality assurance.
• Exceptional proficiency with interpreting engineering drawings, BOMs, and technical documentation, or demonstrated expertise with parts identification and catalog research.
• Strong analytical, visual, and spatial reasoning abilities, particularly in pattern interpretation or assembly process documentation.
• Proven track record of producing clear, structured, and accurate records, reports, or manuals to industry standards.
• Experience adjudicating or reviewing work within complex ontologies or quality control environments.
• Comfort working autonomously and communicating reasoning in written form for project documentation purposes.
• Familiarity with digital collaboration platforms and remote project participation is a plus.