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Remote Data Optimization Jobs in Long Beach, CA (NOW HIRING)

Design tasks involving bug fixing, feature development, refactoring, and performance optimization ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Design tasks involving bug fixing, feature development, refactoring, and performance optimization ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Design tasks involving bug fixing, feature development, refactoring, and performance optimization ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Design tasks involving bug fixing, feature development, refactoring, and performance optimization ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Senior Data Engineer

Los Angeles, CA ยท On-site +1

$158K - $214K/yr

Crexi is looking for a Senior Data Engineer to join our team hybrid in Los Angeles or remote in the ... Solid grasp of data quality, observability, and performance optimization. * Sound judgment using AI ...

Head of Data Engineering

Los Angeles, CA ยท Remote

$117K - $140K/yr

Experience building data platform specifically optimized for LLMs, product engineering, and ... Remote and hybrid flexibility varies by role and team, and is outlined in each . If you're excited ...

Experience in RetrievalAugmented Generation (RAG) design, optimization, and troubleshooting ... a remote work model GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at ...

Showing results 41-60

Remote Data Optimization information

See Long Beach, CA salary details

$17

$59

$85

How much do remote data optimization jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote data optimization in Long Beach, CA is $59.74, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $70.77 per hour, depending on experience, location, and employer.

What is a remote data optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote data optimization specialist?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are remote data optimization jobs?

Remote data optimization jobs involve analyzing and improving the efficiency, accuracy, and accessibility of data within an organization. These roles often require skills in data management, database tools, and programming languages like SQL or Python, and may involve tasks such as data cleaning, structuring, and implementing data storage solutions from a remote work environment.

What are popular job titles related to Remote Data Optimization jobs in Long Beach, CA?

For Remote Data Optimization jobs in Long Beach, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Optimization jobs in Long Beach, CA look for?

The top searched job categories for Remote Data Optimization jobs in Long Beach, CA are:

What cities near Long Beach, CA are hiring for Remote Data Optimization jobs?

Cities near Long Beach, CA with the most Remote Data Optimization job openings:

Infographic showing various Remote Data Optimization job openings in Long Beach, CA as of August 2026, with employment types broken down into 10% Internship, 79% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,253 per year, or $59.7 per hour.

Machine Learning Engineer - Remote

YO AI Labs

Los Angeles, CA โ€ข Remote

$80 - $120/hr

Full-time

Posted 7 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.