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Hourly Data Optimization Jobs (NOW HIRING)

Xe Careers

SEO & ASO Manager

Irvine, CA · On-site

Develop and test structured data, content formats, and partnerships that improve Xe ... The reasonable estimated pay for this (Salary Exempt or Non-exempt hourly rate) role ranges from ...

Aquent

SEO/AEO Specialist

Chicago, IL · On-site +1

$37 - $39/hr

N/A Salary: $37-39 Hourly Start Date: Jul 13, 2026 We are seeking a driven and curious SEO/AEO ... data and schema implementation to improve visibility across traditional search engines and AI ...

Sosemo

SEO Associate

Manhattan, NY · On-site

Hourly), bonuses, health insurance, life insurance 401K, vacation/sick days, flex time, workers ... Utilize Excel and other data visualization tools to isolate trends and develop insights * Self ...

Sosemo

SEO Associate

Manhattan, NY · On-site

Hourly), bonuses, health insurance, life insurance 401K, vacation/sick days, flex time, workers ... Utilize Excel and other data visualization tools to isolate trends and develop insights * Self ...

Judge Group, Inc.

Data Engineer

Scottsdale, AZ · Remote

$60 - $70/hr

Scottsdale, AZ Salary: $60.00 USD Hourly - $70.00 USD Hourly Description: Title: Data Engineer ... The position is responsible for expanding and optimizing our data and data pipeline architecture ...

RentVision

Senior SEO Specialist

Lincoln, NE · On-site

Strong analytical and problem-solving skills with the ability to interpret data, identify trends ... Compensation : Hourly Benefits Work at a "Best Place to Work" Company RentVision was recently ...

RentVision

Senior SEO Specialist

Lincoln, NE · On-site

Strong analytical and problem-solving skills with the ability to interpret data, identify trends ... Compensation : Hourly Benefits Work at a "Best Place to Work" Company RentVision was recently ...

RentVision

Senior SEO Specialist

Lincoln, NE · On-site

Strong analytical and problem-solving skills with the ability to interpret data, identify trends ... Compensation : Hourly Benefits Work at a "Best Place to Work" Company RentVision was recently ...

Kforce Technology Staffing

Data Scientist

Queens, NY · On-site

This role focuses on optimizing crew availability, improving disruption response, and driving cost ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

CARROLL DANIEL CONSTRUCTION CO

DATA ARCHITECT

Atlanta, GA · On-site

$60.50 - $78/hr

We train every employee, from hourly staff to company executives, to deliver the Carroll Daniel Way ... Lead the development and optimization of the enterprise data warehouse (Azure Fabric). * Establish ...

Carroll Daniel

DATA ARCHITECT

Atlanta, GA · On-site

$60.50 - $78/hr

We train every employee, from hourly staff to company executives, to deliver the Carroll Daniel Way ... Lead the development and optimization of the enterprise data warehouse (Azure Fabric). * Establish ...

NTT DATA Americas, Inc

Data Engineer Advisor

Atlanta, GA · Hybrid

$90 - $95/hr

This is a hands-on development role focused on building, maintaining, and optimizing data pipelines ... The starting hourly range for this remote role is ($90 - 95 /hourly ) . This range reflects the ...

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Hourly Data Optimization information

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$56

$81

How much do hourly data optimization jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for hourly 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 an Hourly Data Optimization job?

An Hourly Data Optimization job involves analyzing and improving data processes on an hourly basis to ensure optimal performance and efficiency. Professionals in this role often monitor data flows, identify bottlenecks, and implement solutions to enhance data accuracy and speed. They may also use specialized software or algorithms to automate data optimization tasks and support business decision-making. This job is common in industries that rely on real-time data, such as e-commerce, logistics, and digital marketing.

Is 30 too late for data science?

Age is not a strict barrier for data science roles, including those at the hourly level. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding data analysis tools. Many professionals transition into data science later in their careers and find opportunities regardless of age.

What job makes $10,000 a month without a degree?

In data-related fields, roles such as freelance data consultants or specialized analysts can earn $10,000 or more per month through project-based work or high-demand expertise. These positions often require strong skills in data analysis, programming, and tools like SQL or Python, and typically do not require a formal degree but do demand significant experience and proven results.

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

To thrive as an Hourly Data Optimization Specialist, you need strong analytical abilities, proficiency in data management, and a background in mathematics, statistics, or a related field. Familiarity with data analytics tools such as SQL, Excel, and business intelligence platforms, along with certifications in data analysis or optimization, is often required. Attention to detail, problem-solving skills, and effective communication help professionals excel in interpreting data trends and collaborating with teams. These skills are crucial for driving continuous improvements and ensuring data-driven decisions that enhance organizational efficiency.

What are some common challenges faced by professionals in Hourly Data Optimization, and how can they be addressed?

Professionals in Hourly Data Optimization often encounter challenges such as managing large volumes of real-time data, ensuring data accuracy, and quickly identifying actionable insights under tight deadlines. To address these, it is important to leverage automation tools, maintain clear documentation, and collaborate closely with data engineers and analysts. Regular communication with stakeholders also helps prioritize optimization tasks and align efforts with business goals, ensuring that improvements have a measurable impact.

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

AspectHourly Data OptimizationData Analyst
CredentialsTypically requires data management or analytics certificationsOften requires a degree in data science, statistics, or related fields
Work EnvironmentProject-based, often freelance or contract rolesFull-time, office or remote corporate setting
Industry UsageUsed in marketing, e-commerce, and digital advertisingCommon across finance, healthcare, and business intelligence
Search & Comparison IntentFocuses on optimizing data for specific tasks on an hourly basisAnalyzes data to generate insights and reports

Hourly Data Optimization involves short-term, task-specific data work often on an hourly basis, while Data Analysts typically handle broader data analysis projects within organizations. Both roles require analytical skills, but their scope and work environment differ significantly.

What is a data optimization job?

A data optimization job involves analyzing and improving data quality, structure, and efficiency to enhance business decision-making and system performance. It often requires skills in data analysis, database management, and familiarity with tools like SQL or data visualization software.

How can I make 2000 a week working from home?

To earn $2000 weekly as an Hourly Data Optimization professional, you need to charge competitive hourly rates and work multiple hours per week, often totaling around 40-50 hours depending on your rate. Developing specialized skills in data analysis, optimization tools, and maintaining a consistent schedule can help achieve this income level. Building a strong client base and demonstrating efficiency are key to reaching higher earnings in remote data optimization roles.
More about Hourly Data Optimization jobs
What cities are hiring for Hourly Data Optimization jobs? Cities with the most Hourly Data Optimization job openings:
What are the most commonly searched types of Data Optimization jobs? The most popular types of Data Optimization jobs are:
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What job categories do people searching Hourly Data Optimization jobs look for? The top searched job categories for Hourly Data Optimization jobs are:
Hourly Data Optimization jobs near you
Infographic showing various Hourly Data Optimization job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 57% Full Time, 36% Part Time, 1% Temporary, and 4% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.
Data Science Intern - Model Optimization

Data Science Intern - Model Optimization

quadric, Inc

Burlingame, CA • On-site

$45 - $60/hr

Other

Posted 11 days ago

Job description

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
Role:You will join the data science team for internship focused on model optimization for Quadric's custom GPNPU architecture. Working alongside a senior data scientist mentor, you will contribute to quantization library and/or numerical accuracy testing/debugging infrastructure.
Responsibilities:
  • Run and contribute to new quantization workflows on vision and language models under mentor guidance.
  • Build calibration datasets and tooling to visualize per-layer error and distribution statistics for debugging.
  • Contribute to numerical accuracy testing infrastructure, numerical validation debug tooling of neural networks, and quantization library.

Requirements
  • Currently pursuing or recently graduated with a B.S., M.S., or Ph.D. in CS, EE, Applied Math, or a related field.
  • Solid Python skills and comfort with PyTorch (or TensorFlow), NumPy, and basic data-viz tools (Matplotlib/Plotly).
  • Coursework or project experience in machine learning; familiarity with CNNs and/or Transformers.
  • Curiosity about quantization, numerical representation, fixed-point arithmetic, or low-level performance.
  • Ability to read a research paper and discuss the core ideas.
  • Bonus: prior exposure to quantization, model compression, or any of PyTorch FX/PTQ/QAT, TF-Lite, ONNX-Runtime, TVM, or MLIR Quant.
  • Bonus: any hands-on experience with embedded systems, DSPs, GPUs, or other accelerators.

Benefits
At Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We are a collaborative team focused on building something extraordinary in the edge computing space.
The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual rate offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience and education, technical skills and competencies, and work location.
Quadric interns receive hands-on experience working alongside industry experts in AI and semiconductor technology, with access to mentorship and meaningful project ownership from day one.
Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow's technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.
Quadric is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where people from all backgrounds can do their best work. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
If this role resonates with you, we encourage you to apply even if your experience does not perfectly match every qualification. We value potential, curiosity, and a willingness to learn just as much as direct experience. Skills and growth come in many forms, and we would love to hear your story.
By submitting an application, you acknowledge that Quadric will collect and process your personal information as part of the hiring process. Please review our Privacy Policy to understand how we handle your data.
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About Quadric.io

Sourced by ZipRecruiter

Industry

Semiconductor and electronic component manufacturing

Company size

11 - 50 Employees

Headquarters location

Burlingame, CA, US

Year founded

2016

Social media

Twitter

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