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.

Consultant - Analytics

Company: Tredence

Location: San Jose, CA

Posted Feb 22, 2025

Position Requirements: Master’s degree (or foreign equivalent) in Business Analytics, Data Science, or related field, PLUS demonstrable knowledge of: Python; R;…

Database Developer - AI Trainer

Company: DataAnnotation

Location: San Diego, CA

Posted Feb 21, 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…

SMB Account Executive

Company: Benchling

Location: San Francisco, CA

Posted Feb 25, 2025

Benchling, a biotechnology company, is seeking a motivated SMB Account Executive to drive new business and expand their customer base. The role involves pipeline generation, sales forecasting, solution selling, negotiation, account engagement, collaboration, continuous learning, and process management. The ideal candidate should have a life sciences degree, 2-3 years of experience in sales, knowledge of the life sciences industry, strong sales forecasting skills, and experience with diverse personas. Benchling offers a flexible hybrid work arrangement, competitive salary, equity, comprehensive benefits, and opportunities for professional growth.

AI Training Physics - AI Trainer

Company: DataAnnotation

Location: San Diego, CA

Posted Feb 21, 2025

You can work on your own schedule. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each…

Business Intelligence Associate

Company: Tredence

Location: San Jose, CA

Posted Feb 22, 2025

Position Requirements: Master’s degree (or foreign equivalent) in Information Technology, Computer Science, Management Information Systems, or a related field…

AI/ML Developer - AI Trainer

Company: DataAnnotation

Location: Los Angeles, CA

Posted Feb 21, 2025

A bachelor’s degree (completed or in progress). Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python…

Manager, Implementation Service

Company: BuildOps

Location: Los Angeles, CA

Posted Feb 25, 2025

BuildOps is a fast-growing technology startup seeking a Manager/Senior Manager of Implementation. The role involves leading a team to architect solutions for complex implementation problems, understanding customer workflows, and driving business value. The ideal candidate will have a Bachelor's degree in Business, Computer Science, Engineering, or a related field, with 5+ years of experience in leading implementation teams within SaaS platform companies, preferably in the construction industry. Strong project management, leadership, communication, and technical skills are required. The company offers a competitive salary, stock options, a comprehensive benefits package, flexible PTO, and the opportunity to work on a groundbreaking project.

Satellite Systems Engineer - AI Trainer

Company: DataAnnotation

Location: Los Angeles, CA

Posted Feb 21, 2025

You can work on your own schedule. In this role you will need to hold an expert understanding of satellite systems engineering- a completed or in progress…

Aerospace Engineer - AI Trainer

Company: DataAnnotation

Location: San Antonio, TX

Posted Feb 21, 2025

You can work on your own schedule. In this role you will need to hold an expert understanding of aerospace engineering- a completed or in progress Masters/PhD…

Project Manager

Company: Carney Engineering Construction, Inc.

Location: Los Angeles County, CA

Posted Feb 25, 2025

Coordinate project resources by communicating crew expectations, collaborating with field supervisors on execution strategies, including material procurement,…

Executive Pastry Chef with Bread Baking Experience

Company: Bakery

Location: Los Angeles, CA

Posted Feb 23, 2025

Collaborate with staff to develop and implement *seasonal and specialty product offerings*, emphasizing high-quality ingredients and techniques.

Consultant I_Analytics

Company: Tredence

Location: San Jose, CA

Posted Feb 22, 2025

Position Requirements: Master’s degree (or foreign equivalent) in Business Analytics, Data Analytics or related field, PLUS demonstrable knowledge of:…

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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