Vivado FPGA Screenshot Data Collector

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI hires and contracts contributors for specialized projects, helping people apply their existing expertise to the human side of building modern AI systems.

• Create a free OpenTrain account and apply in minutes.
• Build a profile that reflects your technical experience and project work.
• Explore flexible remote opportunities across the growing AI training industry.

About AI Training Data Collection

AI systems learn from examples prepared and reviewed by people. Data collection projects capture useful images, screens, audio, text, or other real-world material so AI models can learn from accurate, relevant examples.

• Work directly with application content used in specialized AI training.
• Apply practical technical knowledge to a cutting-edge field.
• Complete remote work using your own computer and equipment.

The Role

OpenTrain is seeking a Vivado FPGA screenshot data collector to support specialized application data collection. You will use Vivado, AMD/Xilinx software for FPGA and SoC design, synthesis, timing, RTL design, and verification, while producing high-resolution screenshots from the application environment.

This is remote contractor work with a default commitment of 40 hours per week. The structured time requirement is 20 or more hours per week, and compensation is $45 to $55 per hour.

• Role: Vivado FPGA Screenshot Data Collector
• Work type: Remote contractor and part-time
• Pay: $45 to $55 per hour
• Primary language: English
• Data type: Images
• Experience level: Entry level

What You’ll Do

You will capture application screenshots that accurately represent FPGA and SoC design workflows. The work requires using Vivado on a Windows PC and meeting specific image-size and display-setup requirements.

• Use Vivado on a Windows PC that you own or control.
• Capture screenshots larger than 2.5 megapixels.
• Produce one spanning image from two side-by-side displays when using a dual-monitor setup.
• Work with views related to FPGA and SoC design, synthesis, timing, RTL design, and verification.
• Use a qualifying high-resolution display or two monitors with resolutions of at least 1920 by 1080.

Requirements

This project is intended for contributors with practical experience using digital hardware design tools and the equipment needed to capture the required screen content. Hands-on experience matters more than a formal job title.

• Hands-on, real-world experience with FPGA and digital hardware design.
• Practical use of Vivado for FPGA or SoC design workflows.
• Familiarity with synthesis, timing, and RTL design or verification.
• Current access to Vivado on a Windows PC.
• Access to a qualifying high-resolution display or two monitors.
• Ability to produce screenshots exceeding 2.5 megapixels.
• Experience with AMD/Xilinx FPGA and SoC design workflows is helpful.

Who Can Apply

Applicants must be located in one of the supported countries below and able to work in English. The role is not worldwide, and applicants should have the required Vivado access and display setup before applying.

• Supported countries: Austria, Belgium, Bulgaria, Canada, Cyprus, Czechia, Germany, Denmark, Estonia, Spain, Finland, France, United Kingdom, Greece, Croatia, Hungary, Ireland, Italy, Lithuania, Luxembourg, Latvia, Malta, Netherlands, Poland, Portugal, Romania, Sweden, Slovenia, Slovakia, and the Uni
• Language: English.
• Availability: 20 or more hours per week, with a default commitment of 40 hours per week.

How to Apply Through OpenTrain

Create a free OpenTrain account, review the project details, and submit your application. If selected, you can use your FPGA and Vivado experience to contribute to specialized AI training data collection from a remote work environment.

• Prepare details about your FPGA, digital hardware, and Vivado experience.
• Confirm that you can access Vivado on Windows.
• Verify that your display setup can produce screenshots exceeding 2.5 megapixels.
• Apply through OpenTrain in minutes.