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.

System Administrator

Company: Kyndryl

Location: Bogota, Colombia / Remote

Posted Jan 24, 2025

Kyndryl is a company that designs, builds, manages, and modernizes mission-critical technology systems worldwide. They are committed to creating a more equitable, inclusive world. As a System Administrator, you'll solve complex problems, work with big clients, and have the opportunity to specialize in various industries. The role involves managing systems data, providing solutions, and ensuring security compliance. Kyndryl offers career growth opportunities, diverse work environments, and benefits like learning programs and volunteering platforms.

Patient Recruitment & Engagement Lead (remote)

Company: Thermo Fisher Scientific

Location: Remote

Posted Jan 24, 2025

Thermo Fisher Scientific's PPD division is seeking a Patient Recruitment & Engagement Lead. This role involves managing global Patient Recruitment strategies for drug trials, leading implementation of recruitment strategies, collaborating with clinical teams, maintaining compliance, and overseeing project financials. The ideal candidate should have a Bachelor's degree, previous patient recruitment experience, and strong leadership, project management, and communication skills. The position is home-based in the US, UK, Italy, France, or Spain, with a salary range of $100,000 - $140,000 USD. Thermo Fisher Scientific offers competitive benefits and a mission to make the world healthier, cleaner, and safer.

Principal Product Manager | Security

Company: ServiceNow

Location: Orlando, FL / Remote

Posted Jan 24, 2025

Senior Engineering Manager (Institutional, Staking)

Company: Coinbase

Location: Remote

Posted Jan 24, 2025

Coinbase is seeking a Senior Engineering Manager to lead a team in building the future global financial system through blockchain technology. The role involves managing engineering teams, coaching direct reports, collaborating with various teams to translate vision into a roadmap, and breaking down complex projects. The ideal candidate should have at least 10 years of software engineering experience, 5 years of engineering management experience, and 2 years managing managers. They should be execution-focused, able to navigate ambiguity, and passionate about building an open financial system. The role offers a competitive salary range of $253,895—$298,700 USD.

Director, Kyndryl Consult Partner Cloud (m/f/x)

Company: Kyndryl

Location: Hattersheim am Main, Germany / Remote

Posted Jan 24, 2025

Catēna Software Engineer

Company: Leidos

Location: Remote

Posted Jan 24, 2025

Leidos National Security Sector's EIO Division is seeking an experienced Catēna Software Engineer. The role involves developing and implementing the Catēna Supply Chain Management Solution using AWS Cloud Console and Leidos Enterprise Cloud Management serverless environment. The engineer will work with a creative team to shape the future of logistics and data management, driving technology into projects. Key responsibilities include software engineering functions, supporting technical innovation and strategy, developing technical solutions, and engaging with stakeholders to explain technical capabilities and benefits. The ideal candidate will have a Master's Degree and 2-6 years of experience in a Science, Engineering, or Technology field, or a Bachelor's Degree and 4-8 years of experience. Preferred qualifications include experience with AWS DevOps, Python, React, and Full Stack Development.

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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