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Remote Crowd Compute Jobs (NOW HIRING)

Collaborating with other specialists in compute hardware, software, and storage domains, you will ... Ways to stand out from the crowd: * Relevant vendor networking certifications : Hold relevant ...

Personally lead and guide complex compute/network configuration and performance debugging, working ... Ways to stand out from the crowd: * Direct people management & recruiting experience for ...

$135K - $181K/yr

As large language models rapidly outgrow the memory and compute budget of any single GPU, this ... Deep understanding of memory hierarchies (GPU HBM, host DRAM, SSD, and remote/object storage) and ...

Senior Software Engineer - Topography

Santa Clara, CA · Remote

$143K - $189K/yr

Familiarity with networking, cluster topology, cloud infrastructure, or large-scale compute systems ... Ways to stand out from the crowd: * Experience with GPU clusters, NVLink, InfiniBand, Ethernet ...

Senior Software Engineer - Topography

$125K - $165K/yr

Familiarity with networking, cluster topology, cloud infrastructure, or large-scale compute systems ... Ways to stand out from the crowd: * Experience with GPU clusters, NVLink, InfiniBand, Ethernet ...

Remote Crowd Compute information

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$14

$20

$28

How much do remote crowd compute jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for remote crowd compute in the United States is $20.95, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $23.08 per hour, depending on experience, location, and employer.

What is a remote crowd compute?

A Remote Crowd Compute job involves performing small tasks or problem-solving assignments over the internet as part of a distributed workforce. These tasks can include data labeling, content moderation, surveys, image categorization, and other microtasks that are broken down and distributed among many remote workers. Crowd compute jobs allow companies to leverage a global workforce to complete large-scale projects efficiently. Workers can typically choose their hours and work from anywhere with an internet connection. It's a flexible way to earn income remotely, suitable for people seeking part-time or supplementary work.

What are the key skills and qualifications needed to thrive as a remote crowd compute worker?

To thrive as a Remote Crowd Compute worker, you need strong digital literacy, attention to detail, and the ability to follow complex instructions, usually with no formal education requirements but sometimes with a preference for prior data entry or annotation experience. Familiarity with online task platforms, spreadsheets, annotation tools, and sometimes basic scripting or data labeling systems is beneficial. Reliability, self-motivation, and effective communication are key soft skills for excelling in a remote, deadline-driven environment. These skills and qualities are essential to ensure high-quality, accurate outputs and successful collaboration in distributed teams.

What are some common challenges faced when working in a remote crowd compute role, and how can they be addressed?

A common challenge in remote crowd compute roles is maintaining clear communication and collaboration with team members across different time zones and backgrounds. To address this, most companies use robust collaboration tools and establish clear guidelines for task management and reporting. Another challenge is staying motivated and productive while working independently; setting a structured routine and actively participating in team forums can help. Regular feedback sessions and virtual team meetings also foster connection and ensure alignment with project goals.

What is the difference between Remote Crowd Compute vs Remote Data Annotator?

AspectRemote Crowd ComputeRemote Data Annotator
Required CredentialsBasic technical skills, sometimes certifications in data handlingAttention to detail, training in annotation tools
Work EnvironmentOnline platforms, flexible hoursOnline, often part-time or project-based
Industry UsageAI training, machine learning projectsData labeling for AI, ML models

Remote Crowd Compute involves managing or coordinating distributed tasks for AI training, often requiring some technical knowledge. Remote Data Annotator focuses on labeling data, typically requiring attention to detail and familiarity with annotation tools. Both roles are remote, part-time, and used in AI and machine learning industries, but they differ in responsibilities and skill requirements.

More about Remote Crowd Compute jobs

What cities are hiring for Remote Crowd Compute jobs?

Cities with the most Remote Crowd Compute job openings:

What are the most commonly searched types of Crowd Compute jobs?

The most popular types of Crowd Compute jobs are:

What states have the most Remote Crowd Compute jobs?

States with the most job openings for Remote Crowd Compute jobs include:

Infographic showing various Remote Crowd Compute job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 30% Full Time, 12% Part Time, and 57% Contract. Highlights an 35% Physical, 3% Hybrid, and 62% Remote job distribution, with an average salary of $43,576 per year, or $20.9 per hour.

Senior Solutions Architect - Enterprise AI

Remote


Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer


Full-time

Posted 24 days ago


Job description

We are now looking for a Senior Solution Network Architect, Enterprise Products! Join the NVIDIA Solution Architect to support Enterprise Products team as a Senior Network Architect, where your passion and expertise in networking, compute hardware, storage, and cloud-native software will be pivotal. We are on the lookout for a multifaceted professional with a profound understanding of large network design, distributed systems, and datacenter architecture. As a key member of our team, you will engage in a collaborative, multi-disciplinary approach to craft scalable datacenter implementations for enterprise-grade AI systems.

Your role involves translating high-level goals into detailed specifications for platforms and datacenter architectures, leading to the development of robust implementations. Collaborating with other specialists in compute hardware, software, and storage domains, you will be developing, validating, and profiling reference cluster designs specifically tailored for enterprise datacenter environments. At the core of our mission is the building and validation of on-prem cloud-ready solutions that seamlessly interoperate across various cloud service providers (CSPs), enabling the realization of hybrid enterprise AI solutions. If you are ready to embark on a journey that combines innovation, collaboration, and groundbreaking technology, then this opportunity is tailored for you.

What you'll be doing:

  • Own the creation of scalable datacenter solutions for enterprise AI/ML systems

  • Craft detailed requirements for pioneering infrastructure patterns and datacenter wide architectures

  • Create and validate cluster designs, optimizing them for enterprise facilities

  • Collaborate closely with other experts in compute, software, and storage to drive innovation

  • Lead multi-disciplinary projects, addressing high-level goals and complex challenges

  • Engineer on-premises cloud-native solutions that flawlessly integrate with diverse cloud providers

  • Assume a pivotal role for the compute and hardware architecture domain, driving expertise and excellence

  • Showcase a multidisciplinary understanding of Ethernet, InfiniBand, data center LAN (local area networking), WAN (wide area networking), WiFi, and SD (software-defined) networks

  • Conduct TCO analysis, optimizing datacenter efficiency for cost-effectiveness

What we need to see:

  • Bachelor's degree or equivalent experience

  • 8-10 years+ years hardware or infrastructure architecture experience

  • Cluster Design Proficiency: Expertise in architecting cluster designs for on-prem cloud-native platforms

  • Architectural Design Skills: Domain proficiency in advanced networking emphasizing scalability, portability, security and resilience

  • Network Evaluation Expertise: Ability to evaluate diverse networks, capturing differences and conducting research on their behavior under varied workloads

  • Cloud-Native Knowledge: Possess a deep understanding of cloud-native architecture concepts and practices, especially for high availability, scalability, resilience, performance, and security in the compute domain

  • Networking Patterns Mastery: Understand and apply networking patterns at a chassis, rack, cluster and data center level in designing reference architectures

  • Effective Communication: Talent in presenting technical concepts optimally through strong written and oral skills to both technical and non-technical audiences

  • Technical Leadership in Cluster Design: Leadership in designing clusters with a technical emphasis on networking setup, network management solutions, and network specific security and remote access technologies and approaches.

  • System-Level Thinking: Demonstrate a comprehensive grasp of network design, and its impact on improving the overall quality of cluster reference designs.

Ways to stand out from the crowd:

  • Relevant vendor networking certifications : Hold relevant certifications such as Cisco certified, Arista Cloud Engineer (ACE) or Juniper Networks certifications

  • Wider Infrastructure Expertise: Demonstrate wider experience beyond Networking in Compute, Storage, Infrastructure, Platform Sizing, and Infrastructure Cost Reduction for a broad approach to system architecture

  • TCO Analysis Skills: Exhibit skills in Total Cost of Ownership (TCO) analysis specifically focused on datacenter architectures to optimize resource utilization and efficiency

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers! NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993


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