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Remote Crowd Compute Jobs (NOW HIRING)

Nvidia

Solutions Architect, HPC Systems Engineer

OR · On-site +1

$63 - $83/hr

We are looking for a compute and networking savvy Solution Architect to join the NVIDIA Solution ... The Crowd: External customer facing skill set and background Experience with bring up and ...

Nvidia

Manager, First Time Deployment - NVIS

OR · On-site +1

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 ...

Nvidia

Manager, First Time Deployment - NVIS

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 ...

Nvidia

Senior Solutions Architect, Generative AI

OR · On-site +1

Designing and optimizing large-scale AI clusters across GPU compute, high-performance networking ... Ways To Stand Out From The Crowd: Experience architecting and operating large-scale production GPU ...

Nvidia

$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 ...

Nvidia

Manager, Solutions Architecture - AI Labs

OR · On-site +1

Personally lead and guide complex compute and network configuration and performance debugging ... Ways to stand out from the crowd: Track record leading bring-up and deployment of large clusters or ...

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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.

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Remote Crowd Compute jobs near you
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 Compute Platform Engineer, LSF- EDA Infrastructure

OR • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$108K - $147K/yr

Full-time

Posted 4 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's silicon does not tape out without the farm behind it. Our EDA compute environment runs millions of cores across federated LSF cells, and every simulation, synthesis run, and timing signoff on our roadmap passes through it. We are consolidating a dual-scheduler estate onto a single LSF platform, and we are looking for an engineer who knows LSF at the level of its internals - not just its configuration files.

This is a deep-specialist role. You will be the person the team escalates to when scheduling latency creeps up and nothing in the logs explains why. What you'll be doing: Owning scheduler behavior across 15-25 federated LSF cells, including mbatchd and mbschd tuning, scheduling cycle analysis, and the contention patterns that appear as cells approach host-count ceilings.

Diagnosing MultiCluster forwarding problems - remote queue sizing, forwarding policy, cross-cluster pend behavior - where the symptom reported by users is "the farm is slow" rather than a clear failure. Setting the technical design for cell topology and federation as the farm grows, and deciding what belongs in a cell versus what belongs in a new one. Working with our IaC engineer to encode scheduler policy into a config schema that survives contact with MultiCluster, rather than one that looks clean and breaks at scale.

Partnering directly with CAD and methodology teams on workloads that break normal assumptions: 500GB+ memory jobs, interactive-versus-batch contention, and tape-out crunch bursts. What we need to see: BS or MS in Computer Science, Computer Engineering, or equivalent experience. 8+ years in HPC or large-scale batch compute, with 5+ years of that on IBM Spectrum LSF.

Demonstrated depth in LSF internals - you have debugged scheduler behavior beyond what the documentation covers, and you can explain a scheduling cycle from submission to dispatch. Hands-on MultiCluster experience in a production, multi-site environment. Strong Linux systems fundamentals, system programming languages and scripting in Python, Perl, and shell.

Ways to stand out from the crowd: You have worked on LSF as a developer or in escalation engineering, rather than only as a consumer of it. Experience with LSF integration points: esub, eexec, elim, submit wrappers, RTM, or the LSF APIs. Background in semiconductor or EDA compute, where license constraints and job constraints compete.

You have migrated a production estate off Slurm, PBS, or Grid Engine without a scheduled outage users noticed. #LI Hybrid 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 September 17, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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