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.

Global Technology Lead - Next-Generation Grids Transformers (f/m/d)

Company: Hitachi Energy

Location: Raleigh, NC / Remote

Posted Feb 03, 2025

View Details Apply on The Muse

Software Engineer II

Company: AppFolio

Location: Remote

Posted Feb 03, 2025

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IT Strategy & Transformation Consultant

Company: Kyndryl

Location: London, United Kingdom / Remote

Posted Feb 03, 2025

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leading family fintech company awardwinning banking app automated allowance

Account Executive, Financial Institutions

Company: Greenlight Financial Technology

Location: Remote

Posted Feb 03, 2025

Greenlight is a leading family fintech company with a mission to help parents raise financially smart kids. They serve over 6 million parents and kids through their award-winning banking app. Greenlight offers features like automated allowance, chore management, spend controls, and investment options for families. The company is expanding its B2B sales channel and seeks an experienced Account Executive to sell their tailored suite of products. The role involves driving the entire sales lifecycle, building relationships, and securing new partnerships. Greenlight offers competitive benefits, including medical, dental, vision, HSA match, paid life insurance, AD&D, disability benefits, traditional 401k with company match, unlimited PTO, paid holidays, professional development stipend, mental health resources, fertility healthcare, 100 paid parental and caregiving leave, flexible WFH options, and more. Greenlight is an equal opportunity employer.

View Details Apply on BuiltIn

Data Conversion Consultant, Senior Associate

Company: PwC

Location: Atlanta, GA / Remote

Posted Feb 03, 2025

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Cybersecurity Sales Engineer (REMOTE)

Company: Cyware

Location: Remote

Posted Feb 03, 2025

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Senior Backend Engineer, Create: Code Creation (Ruby and Python)

Company: GitLab

Location: Remote

Posted Feb 03, 2025

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Senior Solution Architect (Hospitality/Loyalty))

Company: Salesforce

Location: Remote

Posted Feb 03, 2025

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Senior Solution Sales Executive, Technology Workflows

Company: ServiceNow

Location: Santa Clara, CA / Remote

Posted Feb 03, 2025

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Regional Alliances Manager (Remote, South East)

Company: CrowdStrike

Location: Remote

Posted Feb 03, 2025

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Regional Sales Director, Enterprise - Public Sector

Company: Samsara Inc.

Location: Remote

Posted Feb 03, 2025

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Senior Application Engineer - Electronics - Electrothermal (m/f/d) - Remote

Company: Ansys

Location: Griesheim, Germany / Remote

Posted Feb 03, 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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