Ai-Enhanced Technology Jobs in Remote

245,919 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.

Treasury Analyst II

Company: Equinix, Inc

Location: Toronto, Canada / Remote

Posted Jan 27, 2025

Senior Cyber Security Engineer

Company: Kyndryl

Location: London, United Kingdom / Remote

Posted Jan 27, 2025

Senior Frontend Software Development Engineer - Mexico

Company: Zillow

Location: Mexico City, Mexico / Remote

Posted Jan 27, 2025

Experience Architect

Company: Salesforce

Location: Remote

Posted Jan 27, 2025

05P - Systems Administration

Company: Kyndryl

Location: Lima, Peru / Remote

Posted Jan 27, 2025

Customer Unit Leader Switzerland (m/f/x)

Company: Kyndryl

Location: Zurich, Switzerland / Remote

Posted Jan 27, 2025

Senior Manager, Solutions Readiness

Company: Atlassian

Location: San Francisco, CA / Remote

Posted Jan 27, 2025

Mainframe Systems Administration

Company: Kyndryl

Location: Bangalore, India / Remote

Posted Jan 27, 2025

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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