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.

Core Monitoring Software Reactor Engineer (Remote Eligible, U.S.)

Company: GE Vernova

Location: Wilmington, NC / Remote

Posted Feb 03, 2025

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Global Partner Seller - Embedded

Company: ServiceNow

Location: Bangalore, India / Remote

Posted Feb 03, 2025

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Staff Project Manager

Company: Yubico

Location: Remote

Posted Feb 03, 2025

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Defined Contributions Client Leader- (Virtual US)

Company: Alight Solutions LLC

Location: Remote

Posted Feb 03, 2025

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Governance Compliance Lead

Company: Twilio

Location: Remote

Posted Feb 03, 2025

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games should be played for decades reinvigorating them to continue to entertain for decades small company feel with the stability and resources of a much larger one

Analytics Manager (m/f/d)

Company: DECA Games

Location: Remote

Posted Feb 03, 2025

DECA Games is a remote company with over 400 employees in 38 countries, specializing in acquiring and revitalizing old games. They are looking for a Senior Data Analyst to join their international BI team. The role involves owning the analytics of their games, working closely with various teams, and delivering projects that impact major KPIs. The ideal candidate should have 25 years of experience as a Data Analyst or Data Engineer, solid knowledge of SQL, and experience with visualization tools like Tableau or PowerBI. Benefits include a remote-first culture, flexible work hours, language classes, and working in a multicultural environment.

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Manager, Software Engineering (Testing Platform Engineering)

Company: Affirm

Location: Remote

Posted Feb 03, 2025

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Product Engineer - Java Spring Boot

Company: Allstate

Location: Remote

Posted Feb 03, 2025

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Enterprise Account Executive (Southern US)

Company: UKG

Location: Remote

Posted Feb 03, 2025

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DERMS Integration Solutions Specialist

Company: GE Vernova

Location: Canada / Remote

Posted Feb 03, 2025

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Lead, Infrastructure Specialist

Company: Kyndryl

Location: Tokyo, Japan / Remote

Posted Feb 03, 2025

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Senior Software Engineer, Infrastructure (Networking)

Company: Coinbase

Location: Remote

Posted Feb 03, 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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