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.

Principal Business Systems Analyst

Company: Atlassian

Location: London, United Kingdom / Remote

Posted Jan 25, 2025

Staff Engineer (Fleet Performance)

Company: DigitalOcean

Location: Gunnison, CO / Remote

Posted Jan 25, 2025

Head of Partnerships

Company: Federato

Location: Remote

Posted Jan 25, 2025

Federato is a company dedicated to providing efficient and equitable insurance solutions, particularly in the face of contemporary challenges like the climate crisis, cyberattacks, and social inflation. They leverage AI and deep reinforcement learning to optimize risk portfolios and ensure fair pricing. The company is backed by prominent entities such as Salesforce, Veeva, Zoom, and Box. The role in question involves developing and scaling partnerships, with a focus on increasing engagement, revenue, and product usage. The ideal candidate should have extensive experience in partnerships and business development, preferably in InsuranceTech, and a proven track record of driving growth. Federato values culture fit, emphasizing speed, user-centric problem-solving, and a fun work environment.

Sales Engineer – Cloud Data Warehouse, Data Engineering & AI - US Based - Remote

Company: Coenterprise

Location: Remote

Posted Jan 25, 2025

CoEnterprise, an award-winning B2B software and professional services company, is seeking a highly skilled Sales Engineer with expertise in cloud data warehousing, data engineering, and AI/ML. The role involves collaborating with the sales team to design scalable cloud data architectures, present tailored product demonstrations, and assist with RFPRFI responses. The ideal candidate should have strong experience with cloud data platforms, data engineering concepts, and AI/ML technologies. They should also possess excellent presentation, communication, and interpersonal skills, and have a customer-focused mindset.

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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