Ai-Enhanced Technology Jobs in Remote

246,136 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.

Associate Technical Support Representative

Company: Agiloft

Location: Remote

Posted Jan 25, 2025

Agiloft is a leading global provider of contract lifecycle management (CLM) software, trusted by organizations worldwide. Their flexible Datafirst Agreement Platform (DAP) enables efficient contract management from proposal to execution and leveraging. Agiloft's no-code platform is easily managed by business users, contributing to high customer satisfaction and renewal rates. The company is committed to diversity and inclusion, offering a supportive work environment with flexible policies. The Associate Technical Support Representative role involves providing excellent customer service, handling technical support inquiries, and ensuring seamless customer experiences with Agiloft's software.

Backend Engineer

Company: SINAI Technologies

Location: Remote

Posted Jan 25, 2025

SINAI, a San Francisco-based tech startup, is seeking a MidLevel Backend Engineer to join their team. The role involves designing, implementing, and maintaining backend services and APIs for their platform. The engineer will collaborate with cross-functional teams to deliver working software in a collaborative environment. SINAI aims to enable companies to meet their carbon reduction targets efficiently. The ideal candidate should have at least 2 years of professional experience in backend engineering, strong experience with Node.js, TypeScript, and relational databases, and production experience with GraphQL or REST APIs.

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