2

Remote Crowd Compute Jobs (NOW HIRING)

Strong hands-on knowledge of cloud infrastructure, including compute, networking, storage, and ... Ways to stand out from the crowd: Experience supporting AI, ML, or HPC workloads in cloud or hybrid ...

New

$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 ...

Remote Crowd Compute information

See salary details

$14

$20

$28

How much do remote crowd compute jobs pay per hour?

As of Aug 4, 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 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.

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 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.
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.

Engineer

NVIDIA

Manhattan, NY • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 241 rated software companies


Job description

NVIDIA’s DGX Cloud team helps some of the most advanced AI builders in the world move from idea to production faster. This Customer Success Manager role sits close to internal customers and acts as a strategic partner across onboarding, adoption, workload performance, and long-term platform success. The work is part customer success, part technical consulting, and part operational problem-solving, making it a strong fit for candidates who enjoy translating complex infrastructure into practical outcomes.
Customer Success Managers are typically most effective when they help customers achieve value quickly, build long-term trust, and bring customer insights back into the business to improve the product experience. This role is especially compelling because it combines customer partnership with cloud architecture, AI infrastructure, and resource planning in an environment where the work directly shapes how NVIDIA teams build and scale. Clear, familiar job titles and concise qualification lists also improve job-posting effectiveness and help attract the right candidates.gainsight What you’ll be doing: Partner with internal customers across the full lifecycle of their DGX Cloud usage, helping teams adopt the platform, remove blockers, and get faster time to value.zendesk Translate workload, business, and technical requirements into scalable recommendations across compute, networking, storage, and cloud environments. Turn repeat customer needs into reusable playbooks, tooling, dashboards, and operating patterns that improve adoption and reduce friction.gainsight Work across Engineering, Product, Operations, and Finance to surface customer insights, influence roadmap decisions, and improve infrastructure planning and GPU resource efficiency.gainsight+1 Guide customers through architecture reviews, performance tuning, and cloud portability decisions for AI and machine learning workloads. Use data, usage signals, and operational trends to identify risks, spot opportunities, and improve how DGX Cloud supports current and future demand.zendesk Contribute lightweight automation or code when needed to accelerate delivery and improve day-to-day operations. What we need to see: BS or MS in Computer Science, Engineering, or a related field, or equivalent experience. 12+ years of experience in customer success, solutions architecture, cloud engineering, technical account management, or a similar customer-facing infrastructure role. Strong hands-on knowledge of cloud infrastructure, including compute, networking, storage, and deployment patterns across public cloud and on-prem environments. Experience working with distributed systems, Kubernetes, schedulers, or large-scale platform infrastructure. Ability to translate customer goals into technical solutions and influence cross-functional teams through strong written and verbal communication.gainsight Experience using data, operational signals, or customer feedback to drive decisions, improve adoption, and shape better workflows or product outcomes.zendesk Working knowledge of at least one programming or scripting language such as Python, Go, or shell scripting. Track record of operating effectively in fast-moving or ambiguous environments and driving issues through resolution. Ways to stand out from the crowd: Experience supporting AI, ML, or HPC workloads in cloud or hybrid environments. Background in GPU capacity planning, performance optimization, or infrastructure utilization. Experience building automations, internal tools, or agentic workflows that improve customer operations at scale.gainsight Strong executive communication skills, including the ability to present recommendations, trade-offs, and roadmap inputs clearly. History of turning customer pain points into repeatable processes, product improvements, or measurable operational gains. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us.
#LI-Remote Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 2, 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


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