Technical Documentation and Parts Annotation Specialist

OpenTrain AI, Inc.; United States; À distance; USD 28 000 - 83 000; Temps partiel

Résumé du poste

OpenTrain AI, Inc. is seeking a Technical Documentation and Parts Annotation Specialist for a remote, part-time contract role.

You will translate complex technical materials into precise documentation and validate parts data for AI training, using drawings, BOMs, catalogs, and production layouts. Responsibilities include converting drawings to assembly procedures, identifying replacement parts, reviewing annotation batches for accuracy, and documenting rationale for decisions to support model

Qualifications

• At least five years 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 producing accurate records, reports, manuals, or quality decisions.
• Strong analytical, visual, and spatial reasoning, with the ability to explain decisions clearly in writing.
• Familiarity with complex ontologies, annotation guidelines, or quality-control review environments.
• Experience creating assembly manuals, matching worn parts to catalog records and supersessions, checking production marker details, or adjudicating annotation batches.

Responsabilités

• Convert engineering drawings and bills of materials into assembly procedures for technical manuals.
• 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 annotated image batches, decide whether labels are accurate, and follow project ontologies and annotation guidelines.
• Write clear reasons for recommendations and quality decisions to support AI model training.
• Submit accurate deliverables through digital collaboration platforms within agreed timelines.

Connaissances

Analytical thinking

Visual reasoning

Spatial reasoning

Technical writing

Engineering drawings

Parts catalogs

Quality assurance

Description du poste

Technical Documentation and Parts Annotation Specialist

Review engineering documents, industrial parts, production patterns, and annotated image data for AI training. This remote contract role pays $20 to $60 per hour and requires less than 20 hours per week.

Remote Hourly · $20–$60/hr

$20–$60/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Oct 28, 2026

Posted

Open in 52 countries

United States + more

• 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
• Netherlands
• Nigeria
• Oman
• Pakistan
• Palestine
• Peru
• Philippines
• Portugal
• Qatar
• Saudi Arabia
• Singapore
• South Africa
• Spain
• Sri Lanka
• Switzerland
• Taiwan
• Thailand
• Tunisia
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

The Work

You will use professional judgment to turn complex technical materials into accurate, structured work for AI training. The role combines technical documentation, industrial component research, production pattern review, image annotation quality checks, and written explanations.

You will work with engineering drawings, bills of materials, photographs, catalogs, production plans, and annotated image batches. You will also refine documents, images, patterns, and annotation data to senior-practitioner standards.

• Convert engineering drawings and bills of materials into assembly procedures for technical manuals.
• 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 annotated image batches, decide whether labels are accurate, and follow project ontologies and annotation guidelines.
• Write clear reasons for recommendations and quality decisions to support AI model training.
• Submit accurate deliverables through digital collaboration platforms within agreed timelines.

What It Pays and Takes

This is a remote, part-time contractor role. The work is designed for people who can work independently and communicate technical decisions clearly in writing.

• Pay: $20 to $60 per hour.
• Time: Less than 20 hours per week.
• Location: Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, the United Kingdom, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, the Palestinian Territories, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
• Experience level: Entry level.
• Required experience: At least five years in mechanical technical writing, industrial parts or application analysis, production pattern planning, or computer vision annotation quality assurance.
• Technical skills: Ability to interpret engineering drawings, bills of materials, technical manuals, parts catalogs, or production layouts.
• Work quality: Experience producing accurate records, reports, manuals, or quality decisions.
• Reasoning and communication: Strong analytical, visual, and spatial reasoning, with the ability to explain decisions clearly in writing.
• Review experience: Familiarity with complex ontologies, annotation guidelines, or quality-control review environments.
• Helpful background: Experience creating assembly manuals, matching worn parts to catalog records and supersessions, checking production marker details, or adjudicating annotation batches.

About AI Training Work

AI training is the human work behind systems that learn from examples. People organize documents, review images, rate outputs, and explain decisions so AI models can learn what accurate and useful work looks like.

This role uses specialized engineering, documentation, parts, production, and annotation knowledge to create and review those examples.

Requirements

• Experience: Entry level