ZipRecruiter

Log In

2

Remote Cheap Jobs (NOW HIRING)

TransCore

Sr Software Engineer, DevOps

Round Rock, TX · On-site +1

$49.25 - $67.50/hr

Will consider remote applicants for the right skillset. Position may be hybrid, with a blend of in ... cheap to rebuild. * Container platform: Operate containerized workloads on Azure, including ...

Roku

Senior AI DevOps Engineer

Austin, TX · Remote

$128K - $165K/yr

About the role The mobile team ships the Roku Remote, Smart Home, and Howdy apps on iOS and Android ... Your job is to make that path fast, reliable, and cheap. That includes QA Automation & Device ...

TransCore

Sr Software Engineer, DevOps

Norcross, GA · On-site +1

$50 - $68.25/hr

Will consider remote applicants for the right skillset. Position may be hybrid, with a blend of in ... cheap to rebuild. * Container platform: Operate containerized workloads on Azure, including ...

Roku

Senior AI DevOps Engineer

Austin, TX · Remote

$128K - $165K/yr

About the role The mobile team ships the Roku Remote, Smart Home, and Howdy apps on iOS and Android ... Your job is to make that path fast, reliable, and cheap. That includes QA Automation & Device ...

Luminary

Software Engineer - Frontend

New York, NY · On-site +1

$170K - $225K/yr

We support both remote and in-office preferences. We have an office in NYC near Bryant Park and a ... We want your opinions early, while things are still cheap to change. * Finish things. Empty states ...

Horizon3.ai

Senior Software Engineer, Browser Automation

$125K - $165K/yr

Get to Know Us Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of ... cheap to run. * Collaborate with the attack-team engineers who consume your crawl output, and help ...

Armada

Data Center Constructability Engineer

OR · On-site +1

Location This role is Remote in the U.S. (approximately 30-40% travel to project sites, fabrication ... cheap to fix, before they are locked into issued-for-construction drawings. * Deployment ...

Armada

Data Center Constructability Engineer

Location This role is Remote in the U.S. (approximately 30-40% travel to project sites, fabrication ... cheap to fix, before they are locked into issued-for-construction drawings. * Deployment ...

iSpeedToLead

Cheap and high-value ships first; expensive and speculative waits. Prioritize with a visible score ... Remote-first setup with async-friendly communication. Compensation: Competitive salary above market ...

Hi Rasmus

Head of Product

Nashville, TN · On-site +1

$155K - $175K/yr

United States - Remote Reporting To: Nikolaj Hendriksen Compensation: $155,000 - $175,000 / year ... Cheap build makes a correct domain model more valuable, not less, because a wrong abstraction now ...

Snappy App, Inc

Solutions Consultant- Swag

$80K - $95K/yr

Remote - U.S. Compensation: We feel passionately about transparency in compensation. Total ... Swag That Makes People Smile At Snappy, swag isn't a table full of branded pens and cheap tote bags.

Deeter Analytics Inc

Machine Learning Engineer

The role is full-time and fully remote, US-based. What you'll own * The project. A new research ... Small-scale by design; you keep it running and you keep it cheap. * The evaluation. Leakage-proof ...

Maximus Tribe

Lead Growth Product Manager

$150K - $225K/yr

Remote (US) | Reports to: Head of Product | Type: Full-time About Maximus Maximus ( is a mission ... You know a cheap customer who churns in month two isn't a win, and you've designed acquisition with ...

Proton.ai

UI Product Designer

Cambridge, MA · On-site +1

$80K - $100K/yr

Cambridge, MA (hybrid, 3 days a week in Harvard Square) or remote in the EU. Level : Product ... You are curious enough to understand what's cheap to build and what isn't. * Real agile experience ...

previous page

Showing results 21-39

All JobsRemote JobsRemote Cheap Jobs

Remote Cheap information

What are remote jobs and how can I find affordable opportunities?

Remote jobs are positions that allow employees to work from locations outside of a traditional office, often from home or anywhere with internet access. People often look for 'cheap' or low-cost opportunities to work remotely, such as freelancing, virtual assistant roles, or customer service jobs. These jobs can be found on various online job boards, freelance platforms, and company career pages. It's important to research employers and avoid scams by using reputable sites and checking reviews. Remote work offers flexibility, but it's crucial to ensure the opportunity is legitimate and provides fair compensation.

What are some best practices for staying productive and maintaining communication while working as a remote customer support agent?

As a remote customer support agent, maintaining clear communication with both customers and team members is essential. It's important to establish a consistent routine, utilize collaboration tools like Slack or Microsoft Teams, and set clear boundaries between work and personal time. Regular check-ins with your manager or team help ensure alignment on goals and expectations. Additionally, keeping thorough notes on customer interactions and following up promptly can enhance the overall customer experience and build trust with your team.

What are the key skills and qualifications needed to thrive as a remote customer support representative, and why are they important?

To thrive as a Remote Customer Support Representative, you need strong communication skills, problem-solving ability, and prior experience in customer service or a related field. Familiarity with CRM software, ticketing systems, and communication platforms like Zendesk or Salesforce is typically required. Patience, empathy, and self-motivation are standout soft skills for delivering excellent support remotely. These qualifications ensure effective customer interactions, quick issue resolution, and high customer satisfaction in a virtual work environment.

What is the difference between Remote Cheap vs Remote Data Entry Clerk?

AspectRemote CheapRemote Data Entry Clerk
Required CredentialsMinimal, often just basic computer skillsBasic computer skills, sometimes familiarity with data software
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageCommon in gig and freelance marketsCommon in administrative and clerical sectors
Search & Comparison IntentLow-cost, entry-level remote jobsEntry-level data entry positions

Remote Cheap typically refers to low-cost, entry-level remote jobs with minimal credentials, often found in gig markets. Remote Data Entry Clerk positions are specific roles requiring basic data handling skills, common in administrative sectors. Both are home-based and flexible, but Remote Data Entry Clerk is more specialized within data management.

More about Remote Cheap jobs

What cities are hiring for Remote Cheap jobs?

Cities with the most Remote Cheap job openings:

What are the most commonly searched types of Cheap jobs?

The most popular types of Cheap jobs are:

What states have the most Remote Cheap jobs?

States with the most job openings for Remote Cheap jobs include:

What job categories do people searching Remote Cheap jobs look for?

The top searched job categories for Remote Cheap jobs are:

Remote Cheap jobs near you
Infographic showing various Remote Cheap job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 57% Full Time, and 42% Part Time. Highlights an 98% Physical, and 2% Remote job distribution.

Senior Infrastructure Engineer - GPU Compute

Remote

Boundless Networks, Inc.
See more jobs at Boundless Networks, Inc.external

$175K - $250K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 days ago

Job description

Boundless is coordinating GPU compute at scale as it becomes a leader in AI. As a Senior Infrastructure Engineer (GPU Compute), you'll build and operate the compute fabric that powers our AI inference workloads - a large, heterogeneous, globally distributed GPU fleet spanning consumer cards (including RTX 5090) and datacenter hardware. Your job is to keep that fleet full, fast, cheap, and always on: orchestrating workloads across regions and providers, squeezing every bit of performance out of the hardware, and driving down cost per GPU-hour. This role rewards engineers who want to go deep on bare-metal and GPU optimization.
You should be comfortable operating with a high degree of autonomy, navigating ambiguity, and defaulting to a strong bias for action.
What You'll Do
GPU Fleet Orchestration: Operate a heterogeneous, multi-region GPU fleet (consumer + datacenter, including RTX 5090) using tools like SkyPilot, Kubernetes/k3s, and cloud + on-prem providers. Build the patterns that let us schedule inference workloads across the entire fleet reliably.
Compute Scheduling & Utilization: Maximize GPU utilization across inference workloads. Own workload placement across spot, on-prem, and cloud capacity, keeping the "always-on inference substrate" saturated and economical.
Bare-Metal & GPU Optimization: Go deep on GPU performance - PCIe P2P, ReBAR, NUMA topology (e.g. EPYC SP5), CUDA/driver tuning, memory configuration, and network topology - to push throughput per node.
Reliability, Access & Observability: Build secure fleet access (Tailscale, Teleport), robust observability and alerting, and zero-downtime rollouts across a distributed node fleet.
Cost Optimization: Drive down $/GPU-hr through spot instance management, intelligent workload placement between on-prem and cloud, and resource scheduling - without sacrificing reliability.
Requirements
  • 5+ years of infrastructure/DevOps experience operating large-scale production systems
  • Deep expertise in Kubernetes, Docker, and container orchestration at scale
  • Strong Linux systems administration skills
  • Proficiency in infrastructure-as-code tools (Terraform, Ansible, Pulumi)
  • Track record of managing mission-critical, high-throughput systems
  • Strong infrastructure-as-code background in heterogeneous environments
  • Proficiency in at least one common scripting or programming language (Python, Bash, TypeScript, Go, etc.)
  • Comfort navigating ambiguity with a strong bias for action

Nice to Have
  • Experience with GPU computing infrastructure (CUDA, bare-metal optimization, kernel tuning)
  • Experience operating ML training or other large-scale distributed compute infrastructure
  • Experience with GPU fleet orchestration (SkyPilot, Ray, Slurm)
  • Familiarity with fleet access and networking tooling (Tailscale, Teleport)
  • Knowledge of network optimization and topology design
  • Experience with multi-region, globally distributed systems
  • Proficiency in Rust or low-level systems programming
  • Experience with on-premises data center operations

Additional Requirements
  • Candidates must include a public GitHub profile in their application.
  • The GitHub profile should demonstrate a minimum of 1 year of activity/history.
  • Applications that do not include a GitHub profile, or show insufficient activity, will not be considered.

Benefits
At Boundless, we take care of our people, because building the future of AI compute starts with an empowered team. Here's what you can expect when you join us:
  • Competitive salary (proposed band b/t US$175k and $250k annually) + equity allocation
  • Health, dental, vision (for U.S. employees; region-adjusted globally)
  • Flexible PTO
  • Professional development and conference travel budget
  • Remote-first with regular off-sites and a high-trust, high-velocity team environment

We are a global team, and applicants from around the world are welcome to apply.

Apply