Ai-Enhanced Technology Jobs in Remote

246,136 open positions · Updated daily

Looking for Ai-Enhanced Technology jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Ai-Enhanced Technology position in the Remote area.

Sr Manager, Software Sales Specialists

Company: Thermo Fisher Scientific

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Public Sector Major Account Executive - [West Virginia]

Company: Samsara Inc.

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Assistant Director, Data Privacy

Company: Liberty Mutual Insurance

Location: Boston, MA / Remote

Posted Jan 25, 2025

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VP, AMS Major Area Lead - Customer Excellence Group

Company: ServiceNow

Location: Santa Clara, CA / Remote

Posted Jan 25, 2025

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Senior Lead, Customer Enterprise Partner

Company: Kyndryl

Location: Tokyo, Japan / Remote

Posted Jan 25, 2025

View Details Apply on The Muse
exceptional technology powered by exceptional people growing leader in secure reliable managed cloud solutions broad portfolio spanning AWS Azure and Google

Advanced Cloud Engineer II (RapidScale)

Company: Cox Enterprises

Location: Remote

Posted Jan 25, 2025

RapidScale, a leading provider of secure and reliable managed cloud solutions, is seeking an Advanced Cloud Engineer II. The role involves maintaining customer environments, acting as a technical escalation point, coaching junior engineers, and delivering solutions with high customer satisfaction. The ideal candidate should have a Bachelor's degree and 4 years of experience, with advanced knowledge in AD, Windows Server, Group Policy, and DNS. Preferred skills include Veeam Backup Technologies, NAble Patching, PowerShell scripting, and VMware experience. The compensation ranges from $99,000 to $165,000 per year, with benefits including health care, retirement planning, and flexible vacation. Cox Communications, the company behind RapidScale, is a large private telecom company known for its award-winning culture and benefits.

View Details Apply on BuiltIn

Human Resources Operations & Services Intern (Voluntary, Non OJT)

Company: Equinix, Inc

Location: Manila, Philippines / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

2025 Semester Intern-Commissioning Technology (base at Taichung)

Company: GE Vernova

Location: Lugu, Taiwan / Remote

Posted Jan 25, 2025

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Recruiter

Company: Thermo Fisher Scientific

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

【第二新卒】KJTS_ITエンジニア（沖縄）

Company: Kyndryl

Location: Naha, Japan / Remote

Posted Jan 25, 2025

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Sr. Security Researcher (Remote)

Company: CrowdStrike

Location: Remote

Posted Jan 25, 2025

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BMC Specialist

Company: Kyndryl

Location: Medellin, Colombia / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Frequently Asked Questions

What are typical salary ranges by seniority for AI-Enhanced Technology roles?
Entry‑level ML Engineer or Data Scientist: $90k–$110k. Mid‑level: $120k–$150k. Senior/Lead: $160k–$200k. Staff/Principal: $210k–$260k. Director/VP: $250k–$350k (base + bonus + equity). These ranges reflect U.S. market averages for cloud‑native AI positions.
Which skills and certifications are most valuable in AI-Enhanced Technology?
Core skills: Python, PyTorch/TensorFlow, Kubernetes, Docker, CI/CD, Airflow, MLflow, SageMaker, Vertex AI, Azure ML, MLOps, reinforcement learning, generative models, NLP, CV, data engineering, SQL, Spark. Certifications: AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, Certified Data Scientist (CDS), DeepLearning.AI TensorFlow Practitioner.
Is remote work common for AI-Enhanced Technology positions?
Yes. Many AI‑Enhanced Tech companies adopt remote‑first or hybrid models. Companies such as OpenAI, DeepMind, UiPath, NVIDIA, and Cloudflare offer fully remote roles; others provide 3‑4 days per week remote availability, while hardware‑lab positions may require occasional on‑site presence.
What career progression paths exist in AI-Enhanced Technology?
Typical trajectory: Junior Data Scientist → ML Engineer → MLOps Engineer → Lead ML Engineer → AI Solutions Architect → AI Product Manager → Director of AI → VP of AI. Each step adds responsibilities from model training to infrastructure management, product strategy, and executive leadership.
What are the current industry trends shaping AI-Enhanced Technology?
Key trends include generative AI and multimodal models, reinforcement learning for robotics, edge AI for IoT and autonomous vehicles, responsible AI and fairness regulation, AI‑Ops for continuous monitoring, AI‑as‑a‑Service platforms, and domain‑specific AI in healthcare diagnostics, finance fraud detection, and cybersecurity threat intelligence.

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