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Remote Data Entry Operator Jobs in California (NOW HIRING)

ABC Legal Services

Data Scientist

Los Angeles, CA · On-site +1

$110K - $130K/yr

... operating across all 50 states. We are a technology-forward legal services company on a mission to ... Strong self-direction and communication skills suited for a remote work environment Nice to Have

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Document and update standard operating procedures for data-related tasks and reporting processes ... Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ...

Security Guard Services

Office Admin

Chatsworth, CA · On-site +1

$17.25 - $22.50/hr

Handle administrative tasks such as data entry, email correspondence, and scheduling Prepare and ... a remote environment How to Apply: If you are interested in joining our team, please send your ...

Initio Capital

Data Strategy Analyst

San Francisco, CA · On-site +1

... and operating notes - Work independently in a remote, flexible environment - Collaborate with ... data, or operations is helpful but not required WHY APPLY Career Launch helps candidates build ...

TalentBurst, Inc.

Customer Service Rep II

San Diego, CA · On-site +1

$17 - $23/hr

Monday and Friday remote; Tuesday through Thursday onsite. Roles & Responsibilities: * Responsible for the timely and accurate data entry and input of customer orders into our Enterprise Resource ...

RH

Merchandising Specialist, Web

Corte Madera, CA · On-site +1

$35 - $45/hr

Execute daily tasks to support web merchandising, including SKU creation, data entry, and basic ... standard operating procedures * Demonstrate a commitment to RH's values and contribute to a ...

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All JobsData Entry Operator JobsRemote Data Entry Operator JobsRemote Data Entry Operator Jobs in California

Remote Data Entry Operator information

See California salary details

$9

$20

$42

How much do remote data entry operator jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote data entry operator in California is $20.52, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $21.11 per hour, depending on experience, location, and employer.

Can I get a remote data entry job?

Yes, remote data entry operator positions are available and often require basic computer skills, attention to detail, and familiarity with data management tools like spreadsheets or databases. These jobs typically offer flexible schedules and can be found on various job boards and company websites.

How much does Amazon pay for remote data entry?

Amazon typically does not hire for remote data entry operator roles directly; however, data entry positions in general pay between $10 and $20 per hour depending on experience and location. Remote data entry jobs often require basic computer skills and attention to detail, with pay rates varying by employer and project complexity.

What jobs pay 4000 a week without a degree?

Remote Data Entry Operators typically do not earn $4,000 a week; most earn lower wages. High-paying roles that can reach this level without a degree often involve sales, real estate, or specialized freelance work, but they usually require significant experience, skills, or certifications. Such earnings are uncommon in standard data entry positions without additional qualifications or commission-based incentives.

How to make $1000 a week remote?

A remote data entry operator can earn $1000 a week by working multiple part-time or freelance positions, increasing hourly rates through specialized skills, or taking on high-volume projects. Building efficiency with tools like spreadsheets and data management software can also help maximize earnings within a flexible schedule.

What are the key skills and qualifications needed to thrive in the Remote Data Entry Operator position, and why are they important?

To thrive as a Remote Data Entry Operator, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Experience with spreadsheet software such as Microsoft Excel or Google Sheets, as well as familiarity with data management systems and sometimes basic knowledge of CRM platforms, is often required. Exceptional organizational skills, self-motivation, and effective time management help professionals stand out in this role. These abilities ensure precise and timely data processing, which supports overall business efficiency and reliability.

What does a typical day look like for a Remote Data Entry Operator?

A typical day for a Remote Data Entry Operator involves receiving data from different sources, accurately inputting information into company databases, and verifying data for completeness and correctness. Operators may regularly communicate with team members or supervisors via email or messaging platforms to clarify details or resolve discrepancies. While most tasks are independent, you’ll often adhere to set deadlines and may need to handle repetitive workloads efficiently. Flexibility in workflow, regular check-ins, and a focus on accuracy are part of daily expectations. Over time, strong performers may be given additional responsibilities or opportunities to transition into roles such as data analyst or supervisor.

What is a Remote Data Entry Operator job?

A Remote Data Entry Operator is responsible for inputting, updating, and managing data in digital systems from a remote location. This role typically involves entering information from various sources, ensuring accuracy, and maintaining data integrity. It requires strong typing skills, attention to detail, and proficiency with data entry software or spreadsheets. Many businesses rely on Remote Data Entry Operators to handle administrative tasks efficiently without requiring an in-office presence.

What are the most commonly searched types of Data Entry Operator jobs in California? The most popular types of Data Entry Operator jobs in California are:
What are popular job titles related to Remote Data Entry Operator jobs in California? For Remote Data Entry Operator jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Entry Operator jobs in California look for? The top searched job categories for Remote Data Entry Operator jobs in California are:
What cities in California are hiring for Remote Data Entry Operator jobs? Cities in California with the most Remote Data Entry Operator job openings:
Remote Data Entry Operator jobs near you
Infographic showing various Remote Data Entry Operator job openings in California as of July 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution, with an average salary of $42,687 per year, or $20.5 per hour.
Data Scientist

Data Scientist

ABC Legal Services

Los Angeles, CA • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

About ABC Legal Services

ABC Legal Services is the nation's premier process serving and court filing company, operating across all 50 states. We are a technology-forward legal services company on a mission to make legal processes faster, smarter, and more reliable. Our data and engineering teams are central to that mission — building models and systems that power operations at scale. We're now looking for a Data Scientist with strong ML engineering and MLOps experience to help us take our machine learning capabilities to the next level.

Role Overview

We're seeking a Data Scientist with hands-on experience in machine learning engineering and MLOps. In this role, you'll own the full model lifecycle — from research and experimentation through deployment, monitoring, and iteration. You'll work within our AWS SageMaker Studio environment and collaborate closely with engineering, operations, and product teams to deliver models that drive measurable business outcomes.

Key Responsibilities

  • Develop, train, and evaluate machine learning models to solve business problems across operations, legal services, and marketing
  • Own the full ML lifecycle: data preparation, feature engineering, model training, validation, deployment, and monitoring
  • Build and maintain MLOps pipelines using AWS SageMaker Studio, including experiment tracking, model registry, and automated retraining workflows
  • Partner with product and operations teams to translate business requirements into data science solutions
  • Monitor deployed models in production, identify performance degradation, and drive continuous improvement
  • Document methodologies, model performance benchmarks, and technical decisions for internal knowledge sharing
  • Stay current with advances in ML and data science tooling, and advocate for best practices across the team

Requirements

Required

  • 3+ years of experience in data science or a closely related role, with demonstrated ML engineering and MLOps responsibilities
  • Strong proficiency in Python for data science and ML development (pandas, scikit-learn, PyTorch or TensorFlow)
  • Hands-on experience with AWS SageMaker Studio for model development, training, and deployment
  • Solid understanding of MLOps principles: model versioning, pipeline automation, drift detection, and production monitoring
  • Experience with SQL and working with structured data in cloud data warehouses or relational databases
  • Proven ability to translate complex data science findings into clear, actionable insights for non-technical stakeholders
  • Strong self-direction and communication skills suited for a remote work environment

Nice to Have

  • Experience in the legal, collections, or financial services industry
  • Background in targeted mail marketing, direct mail modeling, or customer segmentation
  • Familiarity with AI coding agents and agentic development workflows (e.g., Claude, Copilot, Cursor, or similar tools)
  • Experience with propensity modeling, uplift modeling, or response prediction
  • Exposure to LLM-based workflows or applied NLP in a production setting
  • Data engineering experience with modern tooling such as Dagster, Airbyte, and dbt
  • Familiarity with AWS data services including Glue, Lambda, Redshift, and Step Functions

Compensation & Benefits

  • Fully remote position with flexible working hours
  • Comprehensive health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and company holidays
  • Opportunity to shape data science strategy at a growing, industry-leading company

Salary Range: $110,000-$130,000 depending on experience