Ai-Enhanced Technology Jobs in Remote

246,174 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.

Director, Science

Company: Aetion

Location: Sant Cugat del Valles, Spain / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Property Travel Adjuster - Field Estimator - CST

Company: Allstate

Location: Remote

Posted Jan 25, 2025

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Azure Data Modeler

Company: Kyndryl

Location: Bangalore, India / Remote

Posted Jan 25, 2025

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Regional Sales Engineer (Remote)

Company: CrowdStrike

Location: Remote

Posted Jan 25, 2025

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Field Sales Senior Manager (Hybrid)

Company: Equinix, Inc

Location: Phoenix, AZ / Remote

Posted Jan 25, 2025

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Contract: Senior/Lead Kubernetes Engineer

Company: Upwork

Location: Remote

Posted Jan 25, 2025

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Select Major Account Executive EST/CST - (San Antonio, TX)

Company: Samsara Inc.

Location: Remote

Posted Jan 25, 2025

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Senior UX Researcher,

Company: Zillow

Location: Remote

Posted Jan 25, 2025

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unleash the full power of edge devices bridge the digital divide trusted by major customers like ChickfilA and Delta Airlines

Technical Support Manager

Company: Ditto Live

Location: Remote

Posted Jan 25, 2025

Ditto, a fast-growing startup with a mission to empower edge devices, is seeking a Technical Support Manager. The role involves leading a global support team, optimizing support practices, and delivering exceptional customer service to Fortune 500 clients. Key responsibilities include managing daily operations, developing support workflows, collaborating with internal teams, and driving continuous improvement in the customer support platform. The ideal candidate should have a Bachelor's degree in Computer Science or related fields, 5+ years of experience managing a support team in an infrastructure software company, and a strong understanding of SaaS platforms and cloud infrastructure. Familiarity with CRM and customer support software, excellent leadership skills, and the ability to analyze data and create strategies are also required. Benefits include competitive salaries, stock options, comprehensive health coverage, flexible vacation policy, and a 401k plan. Ditto is an equal opportunity employer committed to providing reasonable accommodations for qualified individuals with disabilities.

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Advisory Solution Consultant

Company: ServiceNow

Location: Toronto, Canada / Remote

Posted Jan 25, 2025

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Application Portfolio Data Analyst

Company: RTX

Location: Remote

Posted Jan 25, 2025

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Solution Architect - Tableau

Company: Salesforce

Location: Remote

Posted Jan 25, 2025

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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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