Remote contract role for Vectorworks experts: document real architectural workflows, review AI-generated design outputs, and provide professional feedback. 20+ hrs/week, pay up to $100/hr; OpenTrain is hiring and contracting for this project.
Generative AI & RLHF
100% Remote Hourly · $19–$100/hr
$19–$100/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Jul 21, 2026
Posted
Open worldwide
Interested in this role?
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OpenTrain is the #1 platform for building careers in AI training and data labeling. We connect skilled contributors with project-based work that trains and validates AI systems, and we help people build a unified portfolio of annotation and training experience.
For this role, OpenTrain is the hiring and contracting organization — you will be contracted directly to contribute expertise that shapes how design-focused AI models learn and are evaluated.
Why AI training matters for design
AI training (also called data labeling or human feedback work) is the human side of building smarter systems. Designers who share real-world workflows and critique model outputs help ensure AI understands practical practices, file organization, and professional standards.
This project gives you an opportunity to directly influence how design tools and assistants behave while doing flexible, remote work that fits around your schedule.
The role
You will document Vectorworks workflows from real architectural, spatial, or design projects and use professional judgment to review and rate AI-generated outputs against industry standards.
Type: Contract, Part-time
Time: 20+ hours per week
Pay: USD $19–$100 per hour (posted maximum $100/hr)
Work style: Fully remote; independent, self-directed collaboration
Data type: Text-based documentation and evaluation; label type: evaluation/rating
What you'll do
This is a project-based assignment focused on collecting and validating real-world design workflows and assessing AI outputs for accuracy and professional quality.
Share practical Vectorworks workflows drawn from architectural, spatial, or design projects.
Demonstrate file organization strategies, class and layer management, and iterative design methods.
Explain design decisions, rationale, and technical problem-solving in clear written and verbal form.
Review AI-generated outputs and validate them against professional design standards.
Provide constructive feedback and ratings that represent accurate real-world workflows for AI training and evaluation.
Requirements
Candidates must show hands-on experience and the ability to document and communicate professional workflows clearly.
Extensive hands-on Vectorworks experience in architectural, spatial, or design projects.
Working knowledge of AutoCAD and BIM workflows.
Ability to structure files, manage classes and layers, and iterate on design concepts.
Strong written and verbal communication for documenting complex technical workflows.
Self-motivated, detail-oriented work style suited to independent remote collaboration.
Language: English required.
Helpful background (not required)
These experiences make your application stronger but are not strict requirements.
Experience supporting AI, ML, or data-driven projects in design or architecture.
Technical writing or educational content creation for design software.
A portfolio showing diverse Vectorworks projects and advanced workflow strategies.
How to apply and what to submit
Create or use your OpenTrain profile to apply. OpenTrain makes it easy to manage your AI training work and build a portfolio you control — creating an account is free.
When you apply, include a brief summary of relevant Vectorworks projects and a portfolio or examples that demonstrate your file-structuring and workflow approach.
Include links or files that show Vectorworks project workflows, class/layer organization, and example deliverables.
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