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Remote Ran Engineer Jobs (NOW HIRING)

TripleTen

$152K/yr

... Engineer, or ML/AI Systems Architect). * Has built and shipped AI or ML systems that ran in ... Fully remote work, with live sessions scheduled within US afternoon and evening hours. * A digital ...

Fundraise Up

Senior AI Enablement Engineer

$125K - $165K/yr

Location: Georgia, Remote * Language: Fluent in English and Russian About Fundraise Up We're ... Success is whether people actually change how they build - not how many sessions you ran. What You ...

Finite State

Remote, U.S. - based Department: GTM Ops The Opportunity Agent Systems Engineer is what we call ... agent ran * Codify recurring patterns as reusable skills so the next agent doesn't start from ...

Skylo

Staff Network Integration Engineer

$170K/yr

Enabling people outdoors and critical workflows in the world's most remote places. This is a rare ... Support core/RAN integration work across the various initiatives supporting multiple environments ...

New

Single Grain

AI Automation Engineer

Los Angeles, CA · Remote

$25/hr

Turn slow workflows into reliable AI-assisted systems We are hiring an AI Automation Engineer to ... Work model and compensation This is a fully remote, full-time contractor role. Pay is $25 per hour.

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Remote Ran Engineer information

What is a Remote RAN Engineer?

A Remote RAN Engineer is a telecommunications professional who manages, optimizes, and troubleshoots Radio Access Network (RAN) equipment and infrastructure from a remote location. They are responsible for ensuring reliable wireless connectivity, performing network upgrades, and resolving technical issues without being physically present at the network site. This role typically involves working with various network technologies, monitoring system performance, and collaborating with on-site teams to maintain optimal network operations.

What are the key skills and qualifications needed to thrive as a Remote RAN Engineer?

To thrive as a Remote RAN Engineer, you need a strong understanding of wireless communication principles, cellular network architecture, and a relevant degree in telecommunications or engineering. Familiarity with network management tools, RAN optimization software, and certifications such as CCNA or vendor-specific credentials (e.g., Nokia, Ericsson) are typically required. Excellent problem-solving, analytical thinking, and effective remote communication skills set top performers apart. These competencies are crucial for ensuring optimal network performance, prompt issue resolution, and seamless collaboration across geographically dispersed teams.

What are some common challenges Remote RAN Engineers face when troubleshooting network issues from a distance?

Remote RAN Engineers often encounter challenges such as limited physical access to on-site equipment, relying heavily on remote diagnostic tools and clear communication with local technicians. Effective troubleshooting requires strong analytical skills and familiarity with remote monitoring platforms, as well as the ability to interpret alarms and logs without physical context. Building good relationships with on-site teams and maintaining detailed documentation can help overcome these hurdles and ensure efficient problem resolution.

What is the difference between Remote Ran Engineer vs Radio Network Engineer?

AspectRemote Ran EngineerRadio Network Engineer
CredentialsTelecom certifications, LTE/5G knowledgeTelecom certifications, RF engineering background
Work EnvironmentRemote, field, or office-basedFieldwork, office, or remote depending on project
Industry UsageTelecom providers, network vendorsTelecom providers, network vendors
Common Search IntentRemote network setup, optimization, troubleshootingNetwork design, RF planning, site surveys

Remote Ran Engineers focus on configuring, optimizing, and troubleshooting RAN components remotely, often working with LTE and 5G networks. Radio Network Engineers typically handle RF planning, site surveys, and physical network deployment, often in the field. While both roles require telecom certifications and RF knowledge, Remote Ran Engineers are more likely to work remotely on network performance, whereas Radio Network Engineers are more involved in physical network setup and RF design.

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Remote Ran Engineer jobs near you
Infographic showing various Remote Ran Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

AI & Machine Learning Teaching Expert (Part-time)

TripleTen

On-site, Remote

$152K/yr

Part-time

Re-posted yesterday

Job description

Description
TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching complete beginners - people with no prior tech background - through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions.
We're looking for the person who brings an AI and Machine Learning curriculum to life for students: hosts the live sessions, reviews the work, runs the model and system review boards, and sets the technical bar for the people supporting alongside them. The curriculum is built by a team of senior authors.
This is a teaching and reviewing role. You'll be the senior technical presence students learn from week to week. You'll run live sessions and office hours, give real engineering feedback on student ML deliverables, and act as the escalation point for a team of supporting instructors who handle first-line questions. The best person for this is someone who has actually built and shipped AI systems in production, has opinions about what a sound ML system looks like, and can tell an experienced engineer why their approach is wrong.
Your audience: An experienced developer or engineer - SWE, data engineer, data analyst, DevOps/SRE, or quant - who wants to move into an adjacent AI/ML role (MLE, AI engineer, MLOps, data scientist) and carry their existing experience across, not start over.
Format: Live sessions, office hours, 1:1s, and workshops timed around US Eastern Time - mostly 2:00 PM to 9:00 PM ET. Estimated 10 to 15 hrs/week.
Please submit all resumes or CVs in English.
What you will do
  • Host live sessions focused on the design of ML systems: agentic architectures, orchestration, evaluation, and reliability of LLM-based systems.
  • Run group office hours, 1:1 sessions and tech mock interviews for students working through projects.
  • Review student projects against rubrics.
  • Set the technical standard for a team of supporting instructors who cover questions and first-line review, and act as their escalation point.

Requirements
  • 7+ years of professional ML engineering experience, currently working at senior level or above (Senior/Lead/Staff ML Engineer, AI Engineer, or ML/AI Systems Architect).
  • Has built and shipped AI or ML systems that ran in production in a real company, not just notebooks or side projects.
  • Depth across the AI engineering spine: agentic systems (L3, LangChain/CrewAI/ADK frameworks, orchestration, self-correction), agent reliability and guardrails, MCP; LLM evals (eval harness, LLM-as-judge, hallucination metrics), applied fine-tuning (SFT/LoRA); AI coding tools in the SDLC, LLM observability, A/B experiment design.
  • Can explain why a modeling or architecture decision was made, not just how it was implemented, and can diagnose and critique someone else's work live.
  • Strong technical communication: comfortable leading a live session and writing clear, specific review feedback.
  • Strong English C1+ - instruction and review are in English for a US-based audience.
  • Comfortable using AI tools in day-to-day technical work.

Preferred experience:
  • Has taught, mentored, or run technical sessions before: internal tech talks, onboarding, mentoring engineers, bootcamp or workshop instruction.
  • Production experience with agentic frameworks (LangChain, CrewAI, ADK) and MCP-based tool integrations.
  • Hands-on ownership of an eval or observability stack in production, not just usage.
  • Work experience at a recognizable company.
  • Familiarity with online education platforms or running programs.

What we can offer you
  • Fully remote work, with live sessions scheduled within US afternoon and evening hours.
  • A digital office: we use modern tools (Notion, Slack, Zoom) to keep collaboration smooth.
  • Professional trust and autonomy: no micromanaging.
  • A diverse, international, close-knit team excited to work with you!

Apply