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.

Retail Customer Service Associate- AI Trainer

Company: DataAnnotation

Location: Long Beach, CA

Posted Apr 15, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). Write high-quality answers when given specific prompts.

Data Analyst, Video Platform - USDS

Company: TikTok

Location: San Jose, CA

Posted Apr 16, 2025

Translate business needs into technical specifications and deliver insights that guide strategic decision-making.

Front-End Developer - AI Trainer

Company: DataAnnotation

Location: Long Beach, CA

Posted Apr 16, 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 Analyst, Global Partnerships & Content

Company: Meta

Location: Los Angeles, CA

Posted Apr 17, 2025

Understand partner performance, collaborating with key stakeholders to develop recommendations for measurement. 5+ years of experience in data analytics roles.

Senior Technical Accountant

Company: Vaco by Highspring

Location: San Diego, CA

Posted Apr 16, 2025

The position also supports business units and internal stakeholders by providing technical accounting guidance on complex and non-routine transactions.

Project Lead Operations & Strategy - Kohler Ventures

Company: Kohler

Location: Palo Alto, CA

Posted Apr 15, 2025

Analyze, evaluate, and overcome project risks to enable project completion on time and within budget. Provide support to the broader operations team as needed,…

Senior Project Manager, Electrical - Water/Wastewater

Company: Cupertino Electric, Inc.

Location: Los Angeles, CA

Posted Apr 15, 2025

Driving Record: Valid state-issued driver’s license and satisfactory driving record. Our strong project management teams, dedicated in-house engineering…

Proofreader- AI Trainer

Company: DataAnnotation

Location: Los Angeles, CA

Posted Apr 15, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). Write high-quality answers when given specific prompts.

Data Scientist, Marketing Insights and Analytics

Company: TikTok

Location: Los Angeles, CA

Posted Apr 16, 2025

Experience working with cross-functional teams, including engineering and product teams, to develop automated solutions.

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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