Senior Technical Documentation Parts Annotation Specialist

You will use professional judgment to turn complex technical materials into accurate, structured information for AI training. The work combines technical documentation, industrial parts research, production pattern review, and quality checks of annotated images.

• Turn engineering drawings and bills of materials into assembly procedures for technical manuals, keeping the order of dependent parts correct.
• Identify and verify industrial replacement parts using photographs, nameplates, manufacturer catalogs, and distributor catalogs.
• Interpret production patterns, markers, and cutting-room plans for apparel or industrial fabrication.
• Review batches of annotated images, decide whether labels are accurate, and apply project label systems and guidelines.
• Write clear reasons for recommendations and quality decisions so AI training teams can understand your judgment.
• Improve documents, photographs, patterns, and annotation data to senior-practitioner standards.
• Submit accurate deliverables through digital collaboration platforms within agreed timelines.

This is part-time contract work for someone who can work independently with detailed technical and visual information. The role is open across the countries listed below.

• $20 to $60 per hour.
• Less than 20 hours per week.
• Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.
• Professional fluency in English.
• At least five years of experience in mechanical technical writing, industrial parts or application analysis, production pattern planning, or computer vision annotation quality assurance.
• Ability to interpret engineering drawings, bills of materials, technical manuals, parts catalogs, or production layouts.
• Experience creating structured records, reports, manuals, or quality decisions.
• Strong analytical, visual, and spatial reasoning, with the ability to explain decisions clearly in writing.
• Familiarity with complex label systems, annotation guidelines, or quality-control review environments.
• Ability to work independently in a remote setting.

Relevant experience includes writing assembly manuals from released drawing packages, matching worn parts to catalog records and replacement versions, checking production marker details, or independently reviewing annotation batches. Familiarity with digital collaboration platforms is also useful.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that learn from documents, images, language, and other examples. People with strong technical judgment are needed to prepare accurate data, review model-training materials, and explain why a label or decision is correct.