Ai-Enhanced Technology Jobs in San Francisco, CA

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Looking for Ai-Enhanced Technology jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Ai-Enhanced Technology position in the San Francisco, CA area.

Accountant

Company: Compton Community College District

Location: Compton, CA

Posted May 06, 2025

Foreign Transcripts: Transcripts issued outside the United States of America require a course-by-course analysis with an equivalency statement from a certified…

Staff AI/ML Engineer - Onboard Embodied AI

Company: General Motors

Location: Mountain View, CA

Posted May 03, 2025

We leverage modern end-to-end machine learning approaches with sophisticated neural networks trained from large-scale driving data and using state - of - the -…

Customer Service and Sales Representative

Company: Sage Recruiting Co

Location: San Diego, CA

Posted May 05, 2025

You’ll play a key role in driving sales while delivering outstanding customer experiences while staying up to date with the latest technology and entertainment…

Pharmacist I – Sharp Grossmont Hospital – Variable Shift – Per Diem

Company: Sharp Healthcare

Location: La Mesa, CA

Posted May 03, 2025

Ensures security of medication storage and compliance with Medication Management (MM) standards (i.e. all meds are labeled, patient own meds are checked,…

Full Stack Engineer - AI Trainer

Company: DataAnnotation

Location: Palo Alto, CA

Posted May 06, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). You will work with the chatbots that we are building in order to measure…

Data Scientist

Company: Venmo

Location: San Jose, CA

Posted May 06, 2025

Bachelor’s/Master’s degree in a quantitative field (such as Analytics, Statistics, Mathematics, Economics or Engineering) or equivalent field experience.

Software Developer - AI Trainer

Company: DataAnnotation

Location: Palo Alto, CA

Posted May 06, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). You will work with the chatbots that we are building in order to measure…

Internet Marketing Specialist

Company: ROMO DOOR SUPPLY LLC

Location: San Antonio, TX

Posted May 05, 2025

The ideal candidate will be skilled in *social media marketing, SEO, content creation*, and *AI tools* to streamline and scale campaigns.

Special Education Teacher Mild/ Moderate

Company: Kinship Academy

Location: San Jose, CA

Posted May 05, 2025

Write and manage IEPs, track student progress, and communicate with families and staff. Develop and customize instruction to fit student needs.

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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