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Remote Sentiment Analysis Jobs in California (NOW HIRING)

Director, Product Management

San Francisco, CA · On-site +1

$212K - $342K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience implementing or experimenting with ML/AI features (e.g., chatbots, sentiment analysis ...

Senior UX Designer - Remote

Los Angeles, CA · On-site +1

$109K - $174K/yr

The incumbent is responsible for researching and analyzing user needs and sentiment, the creation ... Approved Remote States: Arizona, California, Colorado, Florida, Georgia, Minnesota, Nevada, Oregon ...

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Remote Sentiment Analysis information

What are some common challenges faced by professionals working in remote sentiment analysis roles, and how can they be managed?

One of the main challenges in remote sentiment analysis roles is maintaining accuracy across diverse datasets, especially when interpreting nuanced language or cultural context. Working remotely can also make collaboration with team members and quick feedback loops more difficult. To overcome these issues, professionals often use collaborative platforms for regular communication, participate in ongoing training to stay updated on language trends, and rely on standardized annotation guidelines to ensure consistency. Being proactive in seeking feedback and sharing insights with the team greatly enhances both individual and project performance.

What are the key skills and qualifications needed to thrive as a remote sentiment analyst, and why are they important?

To thrive as a Remote Sentiment Analyst, you need a background in linguistics, data analysis, and a strong understanding of natural language processing (NLP), often supported by a degree in a related field. Familiarity with sentiment analysis tools, machine learning platforms, and data visualization software is typically required. Strong attention to detail, critical thinking, and effective written communication help analysts interpret nuanced data and present findings clearly. These skills are essential for accurately assessing sentiment in large data sets and driving actionable insights for business or research objectives.

What is remote sentiment analysis?

Remote sentiment analysis is the process of evaluating and interpreting the emotional tone behind text data, such as social media posts, customer reviews, or emails, while working from a remote location. Professionals in this field use natural language processing (NLP) tools and machine learning algorithms to identify opinions, attitudes, or emotions expressed in written content. This information helps businesses understand customer feelings, improve products, and enhance marketing strategies. Remote sentiment analysts often collaborate with teams online and use cloud-based platforms to access and analyze large datasets. The role requires strong analytical skills, attention to detail, and proficiency with relevant software.

What is the difference between Remote Sentiment Analysis vs Remote Data Labeling Specialist?

AspectRemote Sentiment AnalysisRemote Data Labeling Specialist
Required CredentialsBasic data analysis, NLP knowledgeData annotation, labeling tools familiarity
Work EnvironmentRemote, tech companies, AI/ML projectsRemote, AI/ML, data preparation teams
Industry UsageAI, NLP, customer feedback analysisMachine learning training data creation
Common Search IntentUnderstanding sentiment analysis rolesComparing data labeling jobs

Remote Sentiment Analysis involves evaluating text data to determine sentiment, often requiring NLP skills. Remote Data Labeling Specialists focus on annotating data for machine learning models, including sentiment labels. While both roles support AI development, sentiment analysis emphasizes interpreting data, whereas data labeling involves preparing data. Candidates should consider their skills and career goals when choosing between these roles.

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 cities in California are hiring for Remote Sentiment Analysis jobs? Cities in California with the most Remote Sentiment Analysis job openings:

Senior Software Engineer, Machine Learning

ZipRecruiter

Santa Monica, CA • Remote

$140K - $225K/yr

Full-time

Retirement, PTO

Re-posted 2 days ago


ZipRecruiter rating

8.6

Company rating: 8.6 out of 10

ZipRecruiter

Based on 27 frontline employees who took The Breakroom Quiz

8.0

Company rating compared to similar companies: 8.0 out of 10

Software companies average

Based on 4,198 frontline employees who took The Breakroom Quiz


Job description

Our Mission: 

To actively connect people to their next great opportunity. 

Who We Are: 

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary:

At ZipRecruiter, where a universe of data, brimming with over a billion archived job postings, tens of millions of dynamic job seekers, and countless impression and click events, there's plenty of opportunities for innovation. Here, your experience will be put to work crafting new, data-driven features that impact the lives of millions, connecting them to their dream jobs.

We're tackling exciting challenges: imagine developing a system that can predict salaries for new job postings, using a training set of job postings and known salaries. But the fun doesn't stop at model-building. Our work involves an immersive dive into data - gathering, cleaning, analyzing, and extracting meaningful insights.

Key Focuses:

  • Design, develop, and maintain machine learning models and algorithms to solve complex business problems
  • Identify patterns, trends, and anomalies in the data, and visualize insights using appropriate tools
  • Assess the performance of machine learning models using appropriate metrics, validation techniques, and testing datasets
  • Discover opportunities to optimize models by fine-tuning hyperparameters, feature selection, or employing regularization techniques to improve accuracy, performance, and scalability
Minimum Qualifications:
  • 3+ year of professional software development experience with a focus in machine learning
  • Deep experience in machine learning algorithms, techniques, and best practices
  • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms

Preferred Qualifications:

  • 5+ year of professional software development experience with a focus in machine learning
  • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience
  • Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices
  • Experience with machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn
  • Experience with deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs)
  • Background with NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and libraries like NLTK, SpaCy, or BERT

As part of our team you'll enjoy:

  • Competitive compensation
  • Exceptional benefits package
  • Flexible Vacation & Paid Time Off
  • Employer-matched 401(k) plan 

#LI-Remote

The US base salary range for this full-time position is $140,000-$225,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.


Working at ZipRecruiter

Perks for frontline workers

From ZipRecruiter, via Breakroom

  • Competitive compensation

  • Annual bonus

  • RSUs for certain roles

  • Flexible time off

  • We match a percentage of your 401(k) contributions

  • Generous parental leave

  • Fertility and family-forming benefits

  • Pet insurance

  • Company-paid access to financial planning resources

  • Wellness stipend

  • Internet stipend & home office program

  • Snacks and occasional meals in some offices

  • Employee Resource Groups

  • Employee-driven recognition and rewards program

  • Live town halls

  • Hosted team building activities

About ZipRecruiter, in their own words

From ZipRecruiter

We’re one team with a shared mission—to actively connect people to their next great opportunity. No matter who you are or where you work from, we create an inclusive, respectful environment where everyone can do their best work.

Company values

From ZipRecruiter

Our values shape everything we do.

We are fearless builders, we foster excellence without egos, and our hearts are in it.

Diversity and inclusion statement

From ZipRecruiter

We’re passionate problem-solvers who know diverse perspectives lead to better outcomes. We celebrate wins, learn together, and value the process of working as one team.


What ZipRecruiter employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


ZipRecruiter logo

About ZipRecruiter

Sourced by ZipRecruiter

What started as a way to help small businesses find great candidates has grown into a leading online employment marketplace that connects millions of job seekers with companies of all sizes. Our sophisticated Al-matching technology is at the core of everything we do-and by analyzing billions of user interactions, it's always getting smarter. It improves the job search experience for millions of people every month and helps businesses of all sizes find and hire the right candidates quickly. We empower job seekers with the tools they need to stand out and get hired. Like a personal recruiter, we track down relevant opportunities in our marketplace, proactively pitch them to hiring managers at top companies, and deliver status updates along the way. We make it easier for people to find work We match businesses of all sizes with the best people for their open roles. Reaching millions of job seekers through our site, * email, and #1 rated job seeker app, we target the most qualified candidates to apply when a job goes live in our marketplace. The result? More quality candidates and reduced hiring times.

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

Santa Monica, CA, US