DataAnnotation
DataAnnotation

60 Dataannotation Data Software Engineer Jobs Hiring in WA

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

Software Engineer

Alexandria, VA · Remote

$40 - $75/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Software Engineer

Washington, DC · Remote

$40 - $75/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

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DataAnnotation Jobs Information

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

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

What are some common challenges Data Software Engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.

What are Data Software Engineers?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

What is the difference between Data Software Engineer vs Data Engineer?

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What are the most popular states for Dataannotation Data Software Engineer Jobs?
Infographic showing various Data Software Engineer job openings at Dataannotation in Washington as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.
Staff Software Engineer

Staff Software Engineer

DataAnnotation

Washington, DC • On-site, Remote

$60/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 proficient programmers to help advance AI development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals — including front‐end, back‐end, full‐stack, machine learning, and other engineers — who are driving real‐world impact in AI development.

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state‐of‐the‐art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full‐time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.

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 that assessment, you'll receive an email confirmation, and paid work will become available to you through 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. Opportunities for higher‐paying projects are available with strong performance.

Impact: help shape the future of AI technologies. Responsibilities Design and solve diverse coding problems used to train AI systems with an emphasis on Android development. Write clear, high‐quality code snippets and detailed explanations.

Evaluate AI‐generated code for accuracy, performance, and clarity. Provide feedback that directly shapes the next generation of AI models. Qualifications Fluency in English (native or bilingual level).

Preferred experience in Kotlin. Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Excellent writing and grammar skills.

A bachelor's degree (completed or in progress). Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. Note: Payment is made via PayPal.

We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Those located outside of these countries will not see work or assessments available on our site at this time. #J-18808-Ljbffr