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OpenTrain AIFor AI Companies

Engineering & Technical Documentation Specialist

Remote contractor role (20+ hrs/week) helping train AI to understand engineering documents — develop rubrics, annotate drawings/CAD files, and produce clear technical explanations. $40–$50/hr; requires 3–5+ years in engineering, construction, architecture, or manufacturing.

OpenTrain AI

Generative Ai Rlhf

100% Remote Hourly · $40–$50/hr

$40–$50/hr

Compensation

Worldwide

Eligibility

Entry

Experience

Jun 30, 2026

Posted

Open worldwide

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About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We make it simple to find projects, consolidate opportunities, and grow a durable freelance career teaching AI systems how to understand real-world content.

Why AI training matters

AI training (data labeling / annotation) is the human work that teaches models to read, interpret, and reason about the world. Contributors annotate documents, rate outputs, and write guidelines that directly shape how models behave.

Many projects are fully remote, flexible, and accessible — a way to apply domain expertise (engineering, architecture, manufacturing) to cutting-edge AI development while working part time or on contract.

The role

OpenTrain is recruiting a remote Engineering & Technical Documentation Specialist to support advanced AI training focused on technical content understanding. This is contractor, part-time work through OpenTrain.

Time commitment: 20+ hours/week. Pay: USD $40–$50 per hour (hourly rate listed as $50/hr; range $40–$50). Employment type: contractor, part time.

What you'll do

You will analyze, interpret, and annotate a wide variety of technical documents to create training material and evaluation rubrics for AI systems. Your work will help models learn to read diagrams, plans, and technical reports accurately.

  • Analyze engineering drawings, blueprints, CAD outputs, schematics, project plans, and inspection reports.
  • Develop comprehensive rubrics and structured guidelines for evaluating visual and technical documentation.
  • Provide detailed explanations of technical diagrams, tables, and charts with correct domain terminology.
  • Review, annotate, and clarify complex technical materials to support labeling and content-understanding tasks.
  • Translate intricate engineering or construction concepts into clear instructional materials for model training.
  • Support QA by validating accuracy and completeness of technical documentation rubrics.
  • Collaborate with project leads and technical professionals to align deliverables with project goals.

Requirements

You must bring hands-on domain experience and strong documentation skills. We expect clear, precise written communication and the ability to work independently in a remote setting.

  • 3–5+ years of experience in engineering, construction, architecture, manufacturing, or a closely related technical domain.
  • Proven proficiency interpreting and creating technical documentation: blueprints, engineering drawings, CAD files, schematics.
  • Background such as Mechanical Engineer, Civil Engineer, Architect, Industrial Engineer, Construction Manager, Manufacturing Engineer, or CAD Specialist.
  • Exceptional written and verbal communication skills with precision in technical contexts.
  • Ability to translate visual information and complex concepts into structured, understandable formats.
  • Comfort working independently with strong attention to detail.

Helpful background

These are not required but will help you be successful and move quickly on projects.

  • Experience developing rubrics, checklists, or instructional materials for technical or educational purposes.
  • Previous exposure to AI training, data annotation, or QA workflows for labeled data.
  • Familiarity with visual document types such as technical drawings, CAD models, blueprints, engineering reports, project plans, or inspection documents.

How the work is done & how to apply

Work is fully remote and performed on a contractor basis. Tasks will involve document review, rubric creation, annotation, and written explanation delivered through the project's labeling tools and documentation systems.

If you meet the requirements and want to help shape how AI systems understand technical materials, apply through this OpenTrain posting. Include a brief summary of your domain experience, examples of technical documents you've worked with, and your availability for 20+ hours/week.