Scientific Visualization Specialist (ParaView) at Xel Staffing

Xel Staffing is a talent-driven staffing company focused on helping businesses scale with the right people at the right time. Our staffing models are designed to match your growth strategy—whether you need a single experienced leader or a fully equipped project team. By aligning talent supply with your business timeline, budget, and expected outcomes, we ensure you have the support needed to execute and grow with confidence. 

We are recruiting to fill the position below:

Job Title: Scientific Visualization Specialist (ParaView)

Location: Lagos
Employment Type: Contract

Role Overview

• Selected professionals will leverage ParaView to create and enhance scientific visualization assets that support AI research and data analysis.
• The role involves transforming complex scientific or simulation datasets into clear, accurate visual representations while ensuring outputs meet research and quality standards.
• This position is ideal for professionals with backgrounds in scientific computing, data visualization, engineering simulations, or computational research.

Key Responsibilities

• Develop scientific visualizations using ParaView
• Generate visualization assets from simulation and scientific datasets
• Organize and refine visual outputs for AI research datasets
• Maintain high standards of accuracy, clarity, and visual quality
• Follow project guidelines for asset preparation and documentation.

Required Skills

• Proven experience working with ParaView
• Strong understanding of scientific, simulation, or computational data
• Experience handling large datasets or complex computational models
• Strong attention to detail and commitment to visualization quality.

Salary
N1,500,000 - N2,500,000 / Month. 

Why Join This Project

• Competitive weekly compensation9
• Fully remote opportunity available to professionals based in Nigeria
• Contribute to cutting-edge AI research and development
• Collaborate with a global team working on advanced scientific datasets.

Application Closing Date
23rd March, 2026.

Method of Application
Interested and qualified candidates should:
Click here to apply online