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Remote Crowd Compute Jobs (NOW HIRING)

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 ...

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

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 ...

Showing results 21-26

Remote Crowd Compute information

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How much do remote crowd compute jobs pay per hour?

As of Sep 15, 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.

Manager, Solutions Architecture - AI Labs

Santa Clara, CA • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 5 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

NVIDIA is looking for a hands-on Solutions Architect Manager to lead a team of GPU, networking & software solution architects and engineers. Do you want to build and lead a group that designs, debugs, and deploys new AI hardware and software technologies into production in customer data centers. As part of the NVIDIA SA organization, you will drive people and technical leadership for end-to-end solutions deployments at one of NVIDIA's most strategic AI lab customers, while directly contributing to solution design and deep-dive debugging and product roadmap shaping through customer feedback.

What you will be doing: Recruit & manage a team of solutions architects, system/network and software engineers focused on large-scale GPU and AI networking deployments for frontier AI labs. Set priorities, allocate resources, mentor, and ensure high-quality customer delivery across multiple concurrent projects - while remaining directly involved in key technical reviews, design decisions, and critical debug efforts. Provide deep subject-matter expertise in advanced GPU and network systems and serve as the senior technical point of contact for a strategic AI lab.

Personally lead and guide complex compute and network configuration and performance debugging, working side-by-side with your team to deliver performant, reliable clusters. Guide your team as they lead compute, network, and software architecture discussions, and support server, network, and cluster bring-up, including on-site data center work where needed. Systematically collect and synthesize customer-specific requirements across your portfolio.

Partner with GPU and Network Systems Engineering, Product Management, and Sales to influence roadmap priorities and packaging of reference designs and solutions. Partner with customer engineering and security stakeholders to understand security requirements and translate them into scalable AI infrastructure What we need to see: BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. 8+ overall years in Systems/Solutions/Field Engineering, Network or Data Center Engineering, or similar roles, with 2+ years leading or mentoring engineers or architects (formal manager or strong tech lead).

Direct people management & recruiting experience for geographically distributed technical teams. System-level expertise across CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers. Experience with data center networking including Ethernet and/or InfiniBand switches, NICs, fabrics, associated tooling, and cluster performance troubleshooting.

Familiarity with data center infrastructure (power, cooling, deployment constraints). Proven ability to lead technical teams, set priorities, and drive complex projects from design through production. Demonstrated success working with Product Management, Sales, and Engineering.

Strong time management skills and ability to balance planning with hands-on support where needed. Excellent written and verbal communication, including the ability to lead customer meetings, communicate status and risks, and produce clear design docs, debug summaries, and presentations. Ways to stand out from the crowd: Track record leading bring-up and deployment of large clusters or supercomputing environments.

Background working with fast-moving AI labs or frontier-model infrastructure deployments and customer-facing roles (field engineering, or pre/post-sales architecture). Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel, and drivers. Hands-on experience with NVIDIA GPU systems and SDKs (e.g., CUDA), NVIDIA networking technologies (NICs, RoCE, InfiniBand), and/or ARM-based CPU solutions

Familiarity with virtualization and cloud-native networking concepts. We make extensive use of conferencing tools, but occasional travel (up to 20%) is required for on-site customer visits and industry events. We are open to remote work locations and look forward to have you join our team.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world 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 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 14, 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.


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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