Ai-Enhanced Technology Jobs in Remote

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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.

Senior Engineer II - Availability

Company: DigitalOcean

Location: Gunnison, CO / Remote

Posted Jan 25, 2025

Senior Software Engineer, Mobile

Company: Rise8

Location: Remote

Posted Jan 25, 2025

Rise8 is a company that is transforming the United States Government by focusing on employee experience and using next-level tech and on-the-level collaboration. They offer competitive pay, benefits, and invest in employee growth. The company culture is unique and empowering, with a focus on kindness and empathy. Rise8 is certified as a Great Place to Work. They are looking for a Software Engineer with 6-10 years of experience in various programming languages, particularly mobile development. The role involves working with clients, teaching agile software development practices, and delivering reliable software solutions. The company offers a competitive salary, flexible schedule, premium insurance, retirement match, paid time off, education and training budget, home office and merch allowance, wellness budget, and a MacBook Pro. The role requires US citizenship due to working with Federal Government customers.

Account Manager, UK and Ireland

Company: GE Vernova

Location: Edinburgh, United Kingdom / Remote

Posted Jan 25, 2025

Technical Lead iOS (Platform)

Company: Zillow

Location: Mexico City, Mexico / Remote

Posted Jan 25, 2025

Project Director

Company: GE Vernova

Location: Prineville, OR / Remote

Posted Jan 25, 2025

Senior Engineer I

Company: DigitalOcean

Location: Canada / Remote

Posted Jan 25, 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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