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Remote H1B Recruiter Jobs (NOW HIRING)

NTENT

Senior DevOps Engineer (Remote)

$133K - $170K/yr

AT THIS TIME WE ARE NOT SPONSORING H1B CANDIDATES. We are looking for a Senior DevOps Engineer on a ... NTENT's recruiters * Collaborate with engineering, QA and product managers to develop high ...

NTENT

Senior DevOps Engineer (Remote)

$133K - $170K/yr

AT THIS TIME WE ARE NOT SPONSORING H1B CANDIDATES. We are looking for a Senior DevOps Engineer on a ... NTENT's recruiters * Collaborate with engineering, QA and product managers to develop high ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

... H1B, OPT, EAD, or CPT visas. Must-Have Experience * 7+ years of experience in data engineering or ... recruitment process as fast as possible. What we offer * Totally remote within the contiguous ...

NEOGOV

Senior FP&A Analyst

El Segundo, CA · On-site +1

$91K - $113K/yr

El Segundo, CA Job Type: Full-Time Remote Employment: Flexible/Hybrid Job Number: 00935 Department ... H1B)? * Yes * No Required Question

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

... H1B, OPT, EAD, or CPT visas. Must-Have Experience * 7+ years of experience in data engineering or ... recruitment process as fast as possible. What we offer * Totally remote within the contiguous ...

Hired Recruiters

Senior Web Engineer (React)

Austin, TX · On-site +1

$130K - $180K/yr

US & Canada Remote * Salary $130000 - $180000 * ~10+ employees * Seed Company * Skills: Node, React * H1B Transfer available Our Tech Stack * node.js * Typescript * AWS * Terraform * Postgres/Hasura

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How much do remote h1b recruiter jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote h1b recruiter in the United States is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.17 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote H1B Recruiter, and why are they important?

To thrive as a Remote H1B Recruiter, you need a solid understanding of U.S. immigration laws, H1B visa requirements, and recruiting best practices, often supported by experience in technical or IT staffing. Familiarity with applicant tracking systems (ATS), sourcing platforms like LinkedIn, and basic HR compliance tools is typically required. Exceptional communication, relationship-building, and negotiation skills help recruiters stand out when working with candidates and employers remotely. These skills ensure successful placements, legal compliance, and strong client and candidate satisfaction in a specialized, fast-paced talent market.

What is a Remote H1B Recruiter?

A Remote H1B Recruiter is a professional who specializes in sourcing, screening, and managing candidates eligible for H1B visa sponsorship, while working remotely. They collaborate with employers seeking skilled international talent and guide applicants through the H1B recruitment and visa process. This role typically requires knowledge of U.S. immigration laws, recruitment best practices, and strong communication skills to manage candidates and clients virtually.

How does a Remote H1B Recruiter typically collaborate with hiring managers and candidates to ensure a smooth recruitment process?

As a Remote H1B Recruiter, you will regularly coordinate with hiring managers through virtual meetings to understand job requirements and provide updates on candidate pipelines. You’ll also maintain frequent communication with candidates, especially to guide them through the complexities of H1B sponsorship and documentation. Using digital tools, you’ll manage scheduling, interviews, and feedback loops, ensuring transparency and efficiency from sourcing to placement. Strong organizational and interpersonal skills are essential to navigate time zone differences and maintain clear, timely communication throughout the process.
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Remote H1B Recruiter jobs near you
Infographic showing various Remote H1B Recruiter job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.

AI Field Engineer, AI infrastructure (Remote - US)

Lavendo

New York, NY • On-site, Remote

$220K - $280K/yr

Full-time

Posted 10 days ago

Job description

Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we'll share full details about the company and interview process as we get to know you and confirm mutual fit.
About the Company
Our client is a fast-scaling AI infrastructure company that helps enterprises and AI-native startups build, fine-tune, and serve their own specialized AI models - no more relying on someone else's black-box API. Their platform runs in production for some of the most recognizable names in tech, spanning text, image, embedding, audio, and multimodal workloads. Freshly backed by a Series D at a $17.5B valuation, this is a company with real scale, real customers, and real momentum behind it.
The Mission
They believe the next generation of great products will be built by companies that own their AI stack, not just rent it. Their mission is making open-model AI infrastructure genuinely fast, flexible, and production-grade for the teams building at the frontier.
The Opportunity
This is a forward-deployed engineering role where you're never far from either a terminal or a whiteboard with a VP on it. You'll work directly with VP Engineering, Head of AI/ML, and CTO-level partners at Fortune 500 enterprises and cutting-edge AI-native startups, owning the technical win from the first discovery call all the way through production. Two tracks are open - Enterprise and AI-Native - same role, different customer base, and we'll talk through which fits your background and interests best.
What You'll Do
  • Run the full pre-sales field cycle yourself: discovery, POC scoping, model evals, and final model selection
  • Ship real production code inside customer environments - this is hands-on building, not advisory slides
  • Deploy and fine-tune open-model LLMs using frameworks like vLLM, SGLang, and TensorRT-LLM (SFT baseline, DPO/RFT a big plus)
  • Act as a true partner to your sales counterpart, shaping deal strategy rather than just supporting it
  • Build relationships across a customer's org, from engineers to executives, and know how to move a deal forward on both levels

What You Bring
  • 3+ years in a client-facing AI/ML role - Solutions Architect, Forward-Deployed Engineer, Customer Success Engineer, Applied AI Engineer, Sales Engineer, or an AI/ML-focused SWE with genuine customer exposure
  • Real hands-on experience with open-model LLM inference and/or fine-tuning
  • Hyperscaler experience in an AI context (AWS, Azure, or GCP)
  • Strong Python skills, comfort with GPU infrastructure and Kubernetes
  • A background at an AI-native company or a SaaS company genuinely building AI features (not bolting them on)
  • Full-time work history, and openness to travel to enterprise customers as needed

Key Success Drivers
You're the rare person equally comfortable debugging inference trade-offs with an ML engineer in the morning and presenting the same trade-offs to a VP by afternoon. You bring genuine customer obsession alongside technical depth - this role rewards people who've shipped things themselves, not just advised on them. Strong candidates own outcomes end-to-end and know how to build trust across both engineering and executive stakeholders.
Why Join?
Compensation & Equity
  • Base salary $176K-$224K, OTE $220K-$280K
  • Performance-based variable compensation, paid quarterly
  • Meaningful equity in a fast-growing, well-funded startup - Series D at a $17.5B valuation

Location
  • Remote-friendly with hubs in New York and San Mateo - flexibility to work from anywhere in the US with regular travel to enterprise customers

Visa Sponsorship Details
  • Open to visa transfers (e.g. OPT, H1B transfers)
  • Open to visa sponsorships (e.g. new H1B, TN)

Benefits
  • Comprehensive benefits package

Interviewing Process
  • Take-home assignment (self-paced, 24-hour window once scheduled): build a working text-to-SQL system and show it works
  • Recruiter screen (30 min): logistics, motivation, fit
  • Culture + live coding (1 hr): product discussion, then extend your take-home live
  • Discovery + hiring manager (45 min): live discovery role-play
  • On-site final loop (~2 hrs): customer demo/presentation plus an executive values conversation
  • Executive interview (30 min)
  • Offer

We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.
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About Lavendo

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

San Francisco, CA, US

Year founded

2021

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