Ai-Enhanced Technology Jobs in Remote

245,720 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.

Intermediate IT Helpdesk Analyst (EMEA)

Company: GitLab

Location: Remote

Posted Feb 03, 2025

View Details Apply on The Muse

Technical Support Engineer

Company: Samsara Inc.

Location: Remote

Posted Feb 03, 2025

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Compensation Senior Manager

Company: Allstate

Location: Remote

Posted Feb 03, 2025

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DevOps Engineer II

Company: Ansys

Location: Milan, Italy / Remote

Posted Feb 03, 2025

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Advisory Solution Consultant - Payer Accounts

Company: ServiceNow

Location: Cincinnati, OH / Remote

Posted Feb 03, 2025

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Quality Engineer II, Screening

Company: AppFolio

Location: Remote

Posted Feb 03, 2025

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Director, Product Owner

Company: Prudential Financial

Location: Minneapolis, MN / Remote

Posted Feb 03, 2025

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Regional Sales Manager, Enterprise - Mexico

Company: Samsara Inc.

Location: Remote

Posted Feb 03, 2025

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pushing boundaries in customer experience AI solutions designed to help businesses connect faster personalize better

QA Analyst

Company: Zowie

Location: Remote

Posted Feb 03, 2025

Zowie is a company focused on enhancing customer experience through AI solutions. They are trusted by top online brands for customer care efforts, handling over 12 million conversations monthly. Zowie is seeking a passionate manual tester to work alongside their product and engineering teams, with a focus on quality and customer value. The role involves collaboration with cross-functional teams and the QA guild, led by an experienced QA guru. The ideal candidate should have 2+ years of hands-on experience in testing web applications, product acumen, and proficiency in test case management tools. Fluency in English and Polish is required, with experience in REST or GraphQL API being a plus.

View Details Apply on BuiltIn

Staff Security Contracts Manager

Company: ServiceNow

Location: San Diego, CA / Remote

Posted Feb 03, 2025

View Details Apply on The Muse

Applications Consultant

Company: Kyndryl

Location: London, United Kingdom / Remote

Posted Feb 03, 2025

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Major Account Executive-Public Sector-State of Florida

Company: Samsara Inc.

Location: Remote

Posted Feb 03, 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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