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.

Business Development Representative - Spanish

Company: Pluralsight

Location: Remote

Posted Feb 03, 2025

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SR SALES EXECUTIVE, NEW LOGO

Company: UKG

Location: Lexington, KY / Remote

Posted Feb 03, 2025

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App Dev Engineer

Company: Atlassian

Location: Remote

Posted Feb 03, 2025

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Senior Staff Infrastructure Engineer

Company: Equinix, Inc

Location: Bogota, Colombia / Remote

Posted Feb 03, 2025

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Director, Data Migration Leader - S4/HANA

Company: RTX

Location: Remote

Posted Feb 03, 2025

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Advisory Principal, Artificial Intelligence

Company: Atlassian

Location: New York, NY / Remote

Posted Feb 03, 2025

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team members are at the heart of everything we do create healthier futures innovative company

MuleSoft Application Developer Technical Lead (remote)

Company: Cencora

Location: Remote

Posted Feb 03, 2025

Cencora is seeking a MuleSoft Application Developer Technical Lead to work closely with clients, business analysts, and team members to understand business requirements and design quality technical solutions. The role involves the full systems life cycle, including designing, coding, testing, implementing, and supporting application software. The ideal candidate should have a Bachelor's degree in Programming, Systems, or Computer Science, or equivalent work experience, and at least eight years of application programming and analysis experience. They should possess advanced programming skills in several languages, a deep understanding of relational database design, and experience in leading projects. Cencora offers competitive compensation, benefits, and resources to support a highly inclusive culture, focusing on physical, emotional, financial, and social wellness. The company is committed to providing equal employment opportunities and reasonable accommodations to individuals with disabilities.

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Infrastructure Support Engineer

Company: hims & hers

Location: Delaware, OH / Remote

Posted Feb 03, 2025

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Principal Regional Sales Manager - Mexico

Company: Cornerstone OnDemand

Location: Río Grande, Mexico / Remote

Posted Feb 03, 2025

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Senior Software Engineer I - DevOps

Company: Sumo Logic

Location: Noida, India / Remote

Posted Feb 03, 2025

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Software Engineering Intern (Summer 2025) (Remote)

Company: RTX

Location: Remote

Posted Feb 03, 2025

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Senior Brand Designer

Company: Maven Clinic

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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