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Remote Data Labeling Analyst Jobs in Simi Valley, CA

Salted

Business Analyst

Los Angeles, CA · Remote

$110K - $150K/yr

We focus on making better-for-you cuisine accessible while offering clean-label, plant-driven, and ... Remote Work * Paid Parental Leave The role: This is not a traditional FP&A role. You'll sit at the ...

YO AI Labs

Analytics Expert - Remote

Los Angeles, CA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Business Intelligence & Analytics Experts to ... You will work with dashboards, reports, KPIs, data visualizations, and leading BI platforms to ...

Catasys Health

Data Architect- REMOTE

Santa Monica, CA · On-site +1

$71.50 - $92/hr

We use predictive analytics to identify health plan members with unaddressed behavioral health ... Excellent compensation In this key role, you will be a data architect defining and growing the data ...

Catasys Health

Data Architect- REMOTE

Santa Monica, CA · Remote

$71.50 - $92/hr

We use predictive analytics to identify health plan members with unaddressed behavioral health ... Excellent compensation In this key role, you will be a data architect defining and growing the data ...

Pivot Point Solutions

Business Analyst

Los Angeles, CA · Remote

Full Remote Job Type: Contract Contract Length: TBD Compensation: DOE Contract Length: 6+ Months ... Perform identity data cleanup as required and approved * Implement or update custom rules and ...

New

Dlapiper

Data Scientist

Los Angeles, CA · On-site +1

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Vytl Controls Group

Data Systems Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

... business analytics, reporting, and data integration. The ideal candidate will have strong ... This role offers a collaborative work environment with opportunities for both in-office and remote ...

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Showing results 21-40

All JobsData Labeling Analyst JobsRemote Data Labeling Analyst JobsRemote Data Labeling Analyst Jobs in Simi Valley, CA

Remote Data Labeling Analyst information

See Simi Valley, CA salary details

$35.1K

$85.3K

$140.4K

How much do remote data labeling analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data labeling analyst in Simi Valley, CA is $85,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $100,100.00 per year, depending on experience, location, and employer.

What does a remote data labeling analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What are the key skills and qualifications needed to thrive as a remote data labeling analyst?

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by remote data labeling analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are popular job titles related to Remote Data Labeling Analyst jobs in Simi Valley, CA?

For Remote Data Labeling Analyst jobs in Simi Valley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Labeling Analyst jobs in Simi Valley, CA look for?

The top searched job categories for Remote Data Labeling Analyst jobs in Simi Valley, CA are:

What cities near Simi Valley, CA are hiring for Remote Data Labeling Analyst jobs?

Cities near Simi Valley, CA with the most Remote Data Labeling Analyst job openings:

Remote Data Labeling Analyst jobs near you
Infographic showing various Remote Data Labeling Analyst job openings in Simi Valley, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $85,309 per year, or $41 per hour.

Data Analyst - Product & Marketing (REMOTE)

The League

Los Angeles, CA • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

Company Description

The League is a social dating app startup backed by IDG Ventures, xSeed Capital, Cowboy Ventures, Structure Capital, Sherpa Ventures, and many notable angels. The Founder is a Stanford MBA (ex-Google, ex-Salesforce) with a strong product sense (engineering degree from Carnegie Mellon) and a fierce determination to change the dating space for the better. The League is live in 150 cities, brings in healthy revenue each month, and leads the pack in it's innovative feature set that includes live video speed dating.

Job Description

The data analyst role is part of the analytics team, will report to the Head of Data Science. S/he will be responsible for performing deep-dive analysis to understand and optimize key levers of our product's marketing funnel: acquisition, activation, engagement, and retention. Additionally, s/he will be responsible for designing core metrics that serve as North Stars for team efforts and OKRs. A successful candidate in this role has the opportunity to contribute to creating a foundation of analytical excellence at the League and promoting a culture of data-driven decision making. The ideal candidate has excellent communication skills, a robust knowledge of SQL, and experience using programming languages such as python/R to automate their analyses and analytical work.

Responsibilities:

  • Directly own the creation of key company metrics used to track aggregate company OKR performance 

  • Conduct quarterly prioritized analysis projects targeted at revenue and user growth

  • Conduct ad-hoc analyses as defined by cross-functional partners and prioritized weekly

  • Manage and maintain dashboards in Periscope that relate operational performance across company departments and track key company metrics

  • Work with product managers and engineers to design data products and run A/B experiments

  • Work directly with product and business stakeholders to translate the questions and hypotheses into structured analysis.
  • Own data analysis and visualization, and communicate the outcomes/insights to various partners (marketing, data, product, eng) to aid strategic decisions for improvements in experience for our users and help create potential feature + experimentation candidates.

  • Apply statistics, modeling and machine learning techniques to improve efficiency and relevance of The League's matching algorithm 

  • Work towards creating a data-driven culture at The League

  • Understand what matters most and prioritize ruthlessly

Qualifications

  • Bachelors' in CS, Engineering, Physics, Math, Statistics, Business, Economics or related field

  • Fluency in SQL, as well as a deep understanding of statistical analysis, experiment design, and common pitfalls of data analysis

  • Expertise in at least one programming language useful for statistical analysis (e.g. python/R)

  • Strong communicator: You effectively synthesize, visualize, and communicate your ideas to others

  • You are a critical thinker: You are thoughtful, self-aware, and use available evidence to make decisions

  • You can lead initiatives across multiple product areas while communicating findings with leadership and product teams

Nice to haves:

  • Prior experience in Gaming or Dating industry

  • Knowledgeable about the machine learning trade-offs and model evaluation

Additional Information

All your information will be kept confidential according to EEO guidelines.

TO APPLY

  • Submit your resume to jobs [at] theleague.com with the job position title as the subject line

COMPENSATION

  • Competitive/above average for the industry 

Apply