Ai-Enhanced Technology Jobs in Remote

246,202 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.

Underwriter, Small Commercial Workers’ Compensation/Commercial Auto

Company: Pie Insurance

Location: Gunnison, CO / Remote

Posted Jan 24, 2025

Pie Insurance is a company dedicated to making commercial insurance accessible and straightforward for small businesses. They leverage technology to revolutionize the insurance buying and experiencing process. Their diverse team of builders, dreamers, and entrepreneurs are guided by core values and principles. Underwriters play a crucial role, interacting daily with customers and making significant decisions. The role involves assessing medium to complex risks, underwriting and binding new and renewal coverage, and maintaining strong industry knowledge. The ideal candidate should have a high school diploma or equivalent, a bachelor's degree or equivalent experience preferred, and at least 3+ years of commercial underwriting experience. They should possess strong partner relationship skills, knowledge of workers' compensation and commercial auto underwriting concepts, and the ability to balance high transaction volumes. The company offers competitive compensation, equity, comprehensive health plans, generous PTO, and a future-focused 401k match. Pie Insurance is committed to equal opportunity and has been recognized as a leading place to work.

Senior Software Engineer

Company: Coinbase

Location: Remote

Posted Jan 24, 2025

Coinbase is seeking a software engineer with extensive experience in Golang, cloud technologies, and JavaScript frameworks to join the Agent Productivity Tools (APT) team. The role involves building applications to enhance productivity, automate tasks, and leverage AI/ML technologies. The ideal candidate should have a proven track record in integrating AI/ML APIs, large-scale system development, and experience with AWS, Kubernetes, and other related technologies. The company culture is intense and collaborative, with opportunities for mentoring and innovation.

PhD Data Partner - Writer - US

Company: TELUS Digital

Location: Remote

Posted Jan 24, 2025

TELUS Digital AI is seeking a PhD Data Partner, a remote role with flexible hours. The ideal candidate will have a PhD in English/Writing, strong proficiency in English, and the ability to explain complex concepts concisely. Key responsibilities include developing complex, original question-and-answer pairs, ensuring questions involve multi-step problem-solving, providing detailed solutions, and collaborating with cross-functional teams. The role offers competitive pay rates, ranging from $40 - $50 USD per hour, and the opportunity to join a global AI Community of over 1 million contributors. TELUS International is committed to equal opportunities and diversity.

Director, State and Local Government Sales - US Northeast Region

Company: ServiceNow

Location: New York, NY / Remote

Posted Jan 24, 2025

ServiceNow, a global market leader in AI-enhanced technology, is seeking a Sales Director to build a team and drive new business sales growth in a region. The role involves creating and executing a sales strategy, recruiting and coaching team members, managing forecasts and pipelines, and engaging with C-level executives. The ideal candidate has extensive sales experience, strong strategic thinking, and the ability to build long-term relationships. ServiceNow offers competitive compensation, benefits, and a flexible work environment.

Software Engineer III, Cloud (Remote, IRE)

Company: CrowdStrike

Location: Remote

Posted Jan 24, 2025

CrowdStrike, a global leader in cybersecurity, is seeking a remote candidate for a cloud security role. The successful applicant will work on enriching backend microservices, leveraging CrowdStrike tools, and building cloud-based systems to detect targeted attacks. The role involves collaboration across multiple teams, a focus on quality coding, and the use of technologies like Go, Docker, Kubernetes, and AWS/GCP/Azure. Candidates should have a degree in Computer Science, understanding of scalability and distributed systems, and experience in engineering best practices.

IT Risk & Compliance Specialist

Company: Hitachi Energy

Location: Bangalore, India / Remote

Posted Jan 24, 2025

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.

Related Pages