ParaView Specialist for AI Research Evaluation

ParaView specialists apply hands-on experience with scientific visualization, fluid dynamics simulation, and large dataset analysis to evaluate AI-generated outputs and provide targeted feedback that improves models handling computational science and high performance computing workflows.

• Evaluate AI-generated visualizations, analysis steps, and text summaries derived from ParaView workflows and large simulation datasets.
• Provide detailed, domain-specific feedback to help AI systems better understand computational science tasks, visualization conventions, and HPC data handling.
• Develop and test domain-specific prompts and prompts for large language models, and assess LLM responses for technical correctness and usefulness.
• Work asynchronously with research teams to review tasks, submit evaluations, and iterate on guidance for model improvements.

• Minimum of 1 year of professional experience using ParaView or closely related scientific visualization tools.
• Practical background in one or more of the following, demonstrated by prior work or projects: scientific visualization, fluid dynamics simulation, analysis of large datasets, or HPC workflows.
• Ability to work independently and communicate findings clearly in writing while collaborating asynchronously with AI research teams.

• Engagement type: Part-time, hourly contract work as an independent contractor.
• Location: Remote, fully asynchronous work allowed.
• Schedule: Flexible hours with no minimum weekly commitment required.
• Project placement: Assignment to specific projects depends on project availability and matching of skills to project needs.

Up to $125/hr (depending on the project).

• F-1 students who are eligible for CPT or OPT may be eligible to participate. Consult your Designated School Official to confirm eligibility.
• If your school requires enrollment in a CPT course, this platform-based engagement may not satisfy that requirement.
• STEM OPT is not supported for these project roles.

• Create a candidate account on the platform and complete the required profile information.
• Confirm your identity through the platform''s verification step.
• Apply to or join relevant projects and complete the project-specific onboarding steps requested by the research teams.
• Begin assigned tasks and submit evaluations to start earning on an hourly basis.