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Remote Variable Data Programmer Jobs in Cincinnati, OH

Deloitte

GCP Engineer

Cincinnati, OH · On-site +1

... and/or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

84.51°

Lead Software Engineer

Cincinnati, OH · Remote

... Remote Pay Transparency and Benefits * The stated salary range represents the entire span ... data and cost of labor. In addition to salary, this position is also eligible for variable ...

84.51°

Lead Software Engineer

Cincinnati, OH · Remote

... Remote Pay Transparency and Benefits * The stated salary range represents the entire span ... data and cost of labor. In addition to salary, this position is also eligible for variable ...

dunnhumby

Senior Applied Data Scientist

Cincinnati, OH · On-site +1

May telecommute 100% of the time from their home office, consistent with dunnhumby's remote work ... Programming experience on any standard data mining and modelling packages such as Python and R; and

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Remote Variable Data Programmer information

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$14

$27

$44

How much do remote variable data programmer jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote variable data programmer in Cincinnati, OH is $27.00, according to ZipRecruiter salary data. Most workers in this role earn between $20.77 and $28.61 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Variable Data Programmer, you need strong programming skills in languages such as SQL, JavaScript, or Python, and experience with data management and personalization logic. Familiarity with variable data printing (VDP) software like XMPie, EFI Fiery, or Quadient Inspire, as well as knowledge of workflow automation tools, is typically required. Attention to detail, problem-solving ability, and effective remote communication are crucial soft skills for success in this position. These skills ensure the accurate and efficient creation of personalized communications, which are vital for meeting client specifications and maintaining project quality.

What are some common challenges faced by Remote Variable Data Programmers, and how can they be addressed?

Remote Variable Data Programmers often encounter challenges such as managing complex data integration from multiple sources, ensuring data accuracy in personalized print or digital projects, and collaborating effectively with distributed teams. To address these issues, it's helpful to maintain clear documentation, use version control systems, and leverage regular check-ins with team members. Familiarity with variable data printing software and strong communication skills are also key to overcoming these challenges and ensuring successful project delivery.

What is a Remote Variable Data Programmer?

A Remote Variable Data Programmer is a professional who specializes in creating and managing variable data printing (VDP) projects while working from a remote location. Their main responsibility is to program and automate the dynamic insertion of personalized information—such as names, addresses, or custom messages—into print or digital communications. They use specialized software and scripting languages to manipulate data and templates, ensuring that each output is tailored to the recipient. This role is common in industries like marketing, direct mail, and print services, where personalized communication is essential.

What is the difference between Remote Variable Data Programmer vs Data Analyst?

AspectRemote Variable Data ProgrammerData Analyst
Required CredentialsProgramming skills, data management certificationsStatistics, data analysis certifications
Work EnvironmentRemote, technical environment, coding tasksRemote or on-site, data interpretation and reporting
Employer & Industry UsageTech, finance, healthcare, roles involving data processingBusiness, marketing, finance, roles involving data insights

The Remote Variable Data Programmer primarily focuses on coding and managing variable data sets remotely, often requiring programming skills. In contrast, Data Analysts interpret data to generate insights, which may involve some coding but emphasizes analysis and reporting. Both roles are in high demand across various industries and often share remote work options, but their core responsibilities differ significantly.

What are popular job titles related to Remote Variable Data Programmer jobs in Cincinnati, OH? For Remote Variable Data Programmer jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Remote Variable Data Programmer jobs in Cincinnati, OH look for? The top searched job categories for Remote Variable Data Programmer jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Remote Variable Data Programmer jobs? Cities near Cincinnati, OH with the most Remote Variable Data Programmer job openings:
Remote Variable Data Programmer jobs near you
Infographic showing various Remote Variable Data Programmer job openings in Cincinnati, OH as of May 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $56,164 per year, or $27 per hour.
Research Data Scientist - AI Trainer

Research Data Scientist - AI Trainer

DataAnnotation

Cincinnati, OH • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.That's where you come in.As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus.To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.Flexible schedule: choose which projects you take on and when you work.Competitive pay: projects are paid hourly, starting at $40+ USD per hour.Impact: help shape the future of AI systems built to reason about data and analytics.ResponsibilitiesEvaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.Write clear technical explanations and well-documented analytical code.Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.Qualifications2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.Some coding experience required, with comfort writing and reviewing analytical code end-to-end.Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).Fluency in English (native or bilingual level) with strong writing skills.A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).Note: Payment is made via PayPal. We will never ask for any money from you.

This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.datascienceJ-18808-Ljbffr

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