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Sentiment Analysis Jobs in California (NOW HIRING)

Hands-on experience with text analytics, NLP, and sentiment analysis - including working with conversation or transcript data at scale. Experience defining and establishing performance metrics and ...

Hands-on experience with text analytics, NLP, and sentiment analysis - including working with conversation or transcript data at scale. Experience defining and establishing performance metrics and ...

Develop a deep, ongoing understanding of investor sentiment, analyst expectations, and market perception, and translate it into clear insights for management. * Analyze and interpret. Assess investor ...

AI Engineer

Sacramento, CA · On-site

$50K - $112K/yr

... text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI ...

AI Engineer

San Francisco, CA · On-site

$50K - $112K/yr

... text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI ...

AI Engineer

Los Angeles, CA · On-site

$50K - $112K/yr

... text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI ...

AI Engineer

San Diego, CA · On-site

$50K - $112K/yr

... text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI ...

Senior Software Engineer

San Francisco, CA · On-site

$117.20 - $223.90/hr

Experience with conversational AI platforms and integrating AI-powered features into voice infrastructure (e.g., AI transcription, sentiment analysis, or virtual agent integrations)* Familiarity with ...

Showing results 41-60

Sentiment Analysis information

What is a sentiment analysis?

A Sentiment Analysis job involves using natural language processing (NLP), machine learning, and data analysis techniques to evaluate and interpret emotions in text data. Professionals in this role analyze customer reviews, social media posts, and other textual content to determine sentiment as positive, negative, or neutral. They help businesses understand customer opinions, track brand perception, and improve decision-making. This role often requires skills in programming, data science, and linguistic analysis.

What are some common challenges encountered in sentiment analysis roles?

Professionals in Sentiment Analysis often face challenges such as dealing with nuanced language, sarcasm, and context-dependent expressions that can affect analysis accuracy. Datasets may require extensive cleaning and pre-processing, and models must be continually refined to keep up with evolving language trends. Collaborating closely with product, marketing, or data science teams is vital to ensure that sentiment insights translate into actionable strategies. Staying up-to-date with advancements in NLP and regularly validating models helps maintain the quality and relevance of your analyses.

What are the key skills and qualifications needed to thrive in the sentiment analysis position, and why are they important?

To excel in Sentiment Analysis, you need a solid understanding of natural language processing (NLP), data analysis, and a degree in computer science, linguistics, or a related field. Familiarity with tools such as Python (with libraries like NLTK, spaCy, or TextBlob), machine learning frameworks, and data visualization software is typically required. Strong problem-solving abilities, analytical thinking, and clear communication skills help professionals effectively interpret data and present insights. These capabilities are crucial for accurately assessing public opinion, improving customer experiences, and guiding business decisions through actionable sentiment data.

What are the most commonly searched types of Sentiment Analysis jobs in California?

The most popular types of Sentiment Analysis jobs in California are:

What are popular job titles related to Sentiment Analysis jobs in California?

For Sentiment Analysis jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Sentiment Analysis jobs?

Cities in California with the most Sentiment Analysis job openings:

Infographic showing various Sentiment Analysis job openings in California as of August 2026, with employment types broken down into 50% Full Time, 10% Part Time, 20% Temporary, and 20% Contract. Highlights an 100% In-person job distribution.

Principal Game Designer - Casino & Gambling Games

Bellota Labs

Redwood City, CA • On-site

$200K - $250K/yr

Full-time

Re-posted 6 days ago


Job description

What You'll Do
  • Own the Game Vision - Define the design pillars that make our casino games distinct, addictive, and replayable. You know what creates a great session - now build it.
  • Design Core Systems & Mechanics - Lead the creation of gambling loops, volatility models, bonus structures, and reward systems that keep players engaged and coming back. Use AI tools (e.g., ChatGPT, Claude) to accelerate math modeling, Monte Carlo simulations, and RTP/volatility analysis - so you can pressure-test more designs in a week than most studios do in a quarter.
  • Collaborate Across Disciplines - Partner with math designers, engineers, artists, and product leads to bring games from concept to polished, market-ready release. Use AI-assisted writing and visual tools to communicate your vision faster and more clearly across disciplines.
  • Prototype & Iterate - Rapidly test game feel, payout structures, and bonus features to find what hits, then refine until it's right. Use AI coding assistants (e.g., Cursor, Claude, Replit Agent) to stand up playable prototypes quickly, and generative image tools (e.g., Midjourney, Firefly) to mock up themes, symbols, and bonus moments before a single pixel of art is commissioned.
  • Stay Sharp on the Market - Know what's dominating casino floors and online platforms. Understand what players are gravitating toward and why, and use that knowledge to stay ahead. Leverage AI research tools (e.g., Perplexity, ChatGPT, Claude) to accelerate competitive teardowns, player sentiment analysis, and trend reports.
  • Mentor & Elevate - Help level up other designers and contribute to a culture where great gambling game instincts - and AI-accelerated design workflows - are developed and rewarded.
  • Champion AI in Game Design - Continuously evaluate new AI tools and techniques that elevate creative output, math modeling, or iteration speed, and share learnings with the broader team.

What We're Looking For
  • 7+ years in game design, with direct experience designing casino, gambling, or high-engagement games - slots, table games, poker, or similar.
  • A real passion for gambling and casino culture. You play these games. You understand them from the inside out.
  • Deep knowledge of volatility, RTP, bonus mechanics, and what makes a game feel rewarding vs. flat.
  • Strong instincts for the moment-to-moment player experience - the near miss, the anticipation, the big win reveal.
  • Hands-on fluency with AI tools in a professional design workflow - for math modeling, prototyping, research synthesis, and visual exploration - with clear judgment about where AI accelerates the work and where designer instinct must lead.
  • Experience working cross-functionally and mentoring other designers.
  • Analytical chops to back up your creative instincts with data.

Why Join Bellota Labs:
  • Creative Ownership - Shape the design direction of entirely new gambling experiences from the ground up.
  • Play to Your Passion - This is a role for someone who genuinely loves this space, not someone learning to like it.
  • Impactful Work - Your designs will directly drive the success of our next major titles in the U.S. market.
  • Passionate Team - Work with people building in an area they care deeply about, moving fast and thinking big.

$200,000 - $250,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.