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.

Product Designer

Company: EVERFI

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Senior Software Engineer

Company: Datadog

Location: Paris, France / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Senior Manager, Marketing Operations

Company: EVERFI

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

User Experience (UX) Designer (Platform)

Company: EVERFI

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse
leading provider of app-based peer recovery support UX/UI Designer to create intuitive and engaging experiences designing user interfaces

UX/UI Designer

Company: Marigold Health

Location: Remote

Posted Jan 25, 2025

Marigold Health, a leading provider of app-based peer recovery support, is seeking a UX/UI Designer to create intuitive and engaging experiences for members and peer supporters. The role involves designing user interfaces, developing features, ensuring accessibility and inclusivity, conducting user research, and collaborating with cross-functional teams. The ideal candidate should have a Bachelor's degree in a related field, 5+ years of UX/UI design experience, proficiency in design tools, and a strong portfolio. The role offers professional growth opportunities, a supportive culture, and competitive benefits.

View Details Apply on BuiltIn

Senior Product Manager, Member Experience (Remote)

Company: Grand Rounds Health

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Senior Software Engineer - Full Stack

Company: Datadog

Location: Paris, France / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Senior Software Engineer (Frontend) - Security Platform

Company: Datadog

Location: Paris, France / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Cardiovascular Data Abstractor: Full-Time

Company: Q-Centrix

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Sr. Manager, Platform Engineering

Company: Socure

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Non-tech Recruiter (G&A)

Company: Grand Rounds Health

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Submit a general inquiry application

Company: Ginkgo Bioworks

Location: 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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