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60 Dataannotation Programmer Jobs Hiring in KS

DataAnnotation

Data Science Consultant

Topeka, KS · On-site +1

$40/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

DataAnnotation

Physicist - AI Trainer

Topeka, KS · On-site +1

$40/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

DataAnnotation

Quantitative Strategist

Topeka, KS · On-site +1

$40/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

DataAnnotation

Decision Scientist

Topeka, KS · On-site +1

$40/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

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DataAnnotation Jobs Information

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

To thrive as a Programmer, you need strong proficiency in programming languages (such as Python, Java, or C++), problem-solving skills, and usually a degree in computer science or a related field. Familiarity with version control systems like Git, integrated development environments (IDEs), and common frameworks or libraries is also important. Attention to detail, effective communication, and adaptability help programmers collaborate and respond to evolving project requirements. These skills ensure code quality, efficient teamwork, and the ability to create robust software solutions in a constantly changing tech landscape.

What are some common challenges programmers face when working on large, collaborative projects?

Programmers working on large, collaborative projects often encounter challenges such as coordinating code changes with team members, managing version control conflicts, and ensuring consistent coding standards across the project. Effective communication and using tools like Git are essential to prevent overlapping work or integration issues. Additionally, understanding the overall architecture and regularly attending team meetings can help programmers stay aligned with project goals and timelines.

What does a programmer do?

A programmer, sometimes called a software developer or coder, writes and tests code that enables computer programs and applications to function. They use various programming languages such as Python, Java, or C++ to create software solutions, fix bugs, and improve existing programs. Programmers also collaborate with other professionals, such as designers and project managers, to define requirements and ensure that the software meets user needs. Their work is essential in industries ranging from technology and finance to healthcare and entertainment.

Is 27 too late to start coding?

Programmers can start coding at any age, including 27, as the field values skills and experience over age. Many successful programmers begin in their late twenties or later, often learning through online courses, coding bootcamps, or self-study. Age is less important than dedication, continuous learning, and building a portfolio of projects.

What is the difference between Programmer vs Software Developer?

AspectProgrammerSoftware Developer
Required CredentialsTypically a degree in computer science or related field; coding certificationsSimilar credentials; often includes additional knowledge of software design and architecture
Work EnvironmentOften focused on coding and debugging within teams or projectsInvolves designing, coding, testing, and maintaining software applications
Employer & Industry UsageUsed across tech companies, startups, and IT departmentsCommon in software firms, tech companies, and enterprise IT
Search & Comparison IntentPeople compare to understand coding roles and responsibilitiesBroader scope including development lifecycle and project management

While both Programmers and Software Developers write code, Programmers typically focus on coding and debugging specific tasks, whereas Software Developers are involved in designing, developing, and maintaining entire software applications. The roles often overlap, but Developers usually have a broader scope of responsibilities.

What are the most popular jobs at Dataannotation in Kansas?
What are the most popular states for Dataannotation Programmer Jobs?
Infographic showing various Programmer job openings at Dataannotation in Kansas as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.
Remote Quantitative AI Evaluator & Trainer

Remote Quantitative AI Evaluator & Trainer

DataAnnotation

Topeka, KS • On-site, Remote

$60/hr

Full-time

Posted 17 days ago

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.

Benefits Fully 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, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate 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. Qualifications 2+ 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. #datascience #J-18808-Ljbffr

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