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Remote Data Optimization Jobs (NOW HIRING)

Mondo

BA

Houston, TX · Remote

$44 - $68/hr

Business Analyst - Data & Optimization Location: Onsite in Houston, TX Location Type: Hybrid (4 days onsite / Fridays remote) Start Date: ASAP - targeting August 3 Duration: 12-month contract ...

EyeUniversal LLC

SEO Specialist (Remote)

San Diego, CA · Remote

Remote SEO Specialist at EyeUniversal LLC EyeUniversal is a Digital Agency based out of Southern ... Collect data and report on traffic, rankings and other SEO aspects * Work with social media and PPC ...

KP LLC

Data Processing Programmer

Renton, WA · On-site +1

$80K - $110K/yr

KP is looking for a Hybrid/Remote Data Processing Programmer . The ideal candidate possesses strong ... Knowledge of USPS regulations, mailing processes, and postal optimization. * Experience working ...

CSS, Inc

Geospatial Analyst

Charleston, SC · On-site +1

Locations vary, but typically allow for fully remote work within a defined geographic jurisdiction ... Ability to implement effective data quality assurance process, data optimization, and documentation ...

Five9

Data Center Engineer (in Atlanta, GA)

Designing and implementing new data center infrastructure, optimizing for performance and ... Communicate and coordinate with remote hands in remote data centers, providing technical direction ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Optimizing data systems and building them from the ground up. In your role, you will work with our ...

PadSplit

SEO Analyst (Fully Remote)

Atlanta, GA · Remote

$55K - $65K/yr

Data-Driven Storytelling - Structure, optimize, and publish proprietary PadSplit data and research to establish the company as the authoritative source for housing and financial mobility insights.

PadSplit

SEO Analyst (Fully Remote)

Atlanta, GA · On-site +1

$55K - $65K/yr

Data-Driven Storytelling - Structure, optimize, and publish proprietary PadSplit data and research to establish the company as the authoritative source for housing and financial mobility insights.

Intersect

Optimization Engineer

$217K - $237K/yr

Intersect develops, constructs, and operates the most ambitious power and data center ... our flexible remote culture. About This Role Intersect is building the integrated energy ...

Intersect

Optimization Engineer

Charleston, WV · Remote

$217K - $237K/yr

Intersect develops, constructs, and operates the most ambitious power and data center ... our flexible remote culture. About This Role Intersect is building the integrated energy ...

PadSplit

SEO Analyst (Fully Remote)

Atlanta, GA · Remote

$55K - $65K/yr

You're equally comfortable auditing structured data, building content strategies, and leveraging ... Answer Engine Optimization -- Improve PadSplit's visibility and citation share across ChatGPT ...

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How much do remote data optimization jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote data optimization in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 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 is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps organizations make better data-driven decisions.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

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.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often involve working with cloud-based platforms or collaboration tools. Many companies offer remote work options for data analysts, especially with experience in data visualization and reporting.

Is 40 too late for data science?

Remote Data Optimization roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help, and continuous education or certifications can improve job prospects regardless of age.

What are the key skills and qualifications needed to thrive as a Remote Data Optimization Specialist, and why are they important?

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 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.

More about Remote Data Optimization jobs
What cities are hiring for Remote Data Optimization jobs? Cities with the most Remote Data Optimization job openings:
What are the most commonly searched types of Data Optimization jobs? The most popular types of Data Optimization jobs are:
What states have the most Remote Data Optimization jobs? States with the most job openings for Remote Data Optimization jobs include:
What job categories do people searching Remote Data Optimization jobs look for? The top searched job categories for Remote Data Optimization jobs are:
Remote Data Optimization jobs near you
Infographic showing various Remote Data Optimization job openings in the United States as of July 2026, with employment types broken down into 6% Internship, 88% Full Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.
Prompt Engineer: LLM Migration & Optimization

Prompt Engineer: LLM Migration & Optimization

Welo Data

Charleston, WV • Remote

Part-time

Posted 27 days ago

Job description

United States • Remote • Part-Time

Are you an expert at navigating the complex logic of Large Language Models? Welo Data is seeking a technical Prompt Engineer to lead the end-to-end migration of template workflows into high-performance LLM autoraters.

This isn't just about writing prompts—it’s about engineering a technical bridge. You will use advanced APG/APO tools and manual refinement to ensure our automated systems meet (and exceed) human accuracy baselines.

The Mission: Architecting the Future of Rating
  • Technical Migration: Take ownership of the workflow for transitioning templates to LLM autoraters.
  • Optimization Leadership: Run and supervise Automated Prompt Optimization (APO) tools, identifying where logic plateaus and providing the manual "spark" to overcome deadlocks.
  • Metrics-Driven Accuracy: Continuously measure quality against gold data, calculating critical performance metrics like precision, recall, and $F_1$ scores.
  • Edge-Case Engineering: Solve complex scenarios by designing manual prompts that handle anti-patterns and broken logic in legacy architectures.
Project Details
  • Schedule: Part-Time (Flexible hours within project milestones)
  • Location: 100% Remote (Must be based in the United States)
  • Employment Type: Freelance / Independent Contractor
 Who We Are Looking For
  • Linguistic & AI Mastery: 2+ years of experience as a Prompt Engineer. You must be comfortable tuning LLMs for structured outputs and complex classification tasks.
  • Academic Background: BS, MS, or PhD in Computer Science, Data Science, Computational Linguistics, or a related analytical field.
  • Technical Agility: Fast learner capable of mastering proprietary internal tools and interfaces (like the Goose API) with minimal supervision.
  • Data Fluency: Strong ability to identify error patterns and use SQL or data analytics tools to analyze model performance.
Preferred Skills
  • Familiarity with shadowbot disagreement tracking between humans and LLMs.
  • Hands-on experience with Chain-of-Thought (CoT) and few-shot learning.
  • Proven ability to draft high-level Launch Certification Documentation.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.