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Remote Ai Data Engineer Jobs in Bothell, WA (NOW HIRING)

Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding ...

Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding ...

Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding ...

Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding ...

Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding ...

Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding ...

AWS Data Engineer (Associate)

Seattle, WA · Remote

$117K - $140K/yr

As AWS Data Engineer, you are a full-stack data engineer that loves solving business problems. You ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

AWS Data Engineer (Associate)

Seattle, WA · On-site +1

$130K - $156K/yr

As AWS Data Engineer, you are a full-stack data engineer that loves solving business problems. You ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Senior Data Engineer

Kirkland, WA · On-site +1

$114K - $154K/yr

This is a remote position. Position Title: Senior Data Engineer Base Salary: $114,700 to $154,200 annually DOE Benefits: Medical, dental, vision, 401k, flexible spending account, paid sick leave and ...

Senior Data Engineer

Kirkland, WA · On-site +1

$114K - $154K/yr

This is a remote position. Position Title: Senior Data Engineer Base Salary: $114,700 to $154,200 annually DOE Benefits: Medical, dental, vision, 401k, flexible spending account, paid sick leave and ...

VP, Delivery & Customer Success

Seattle, WA · Remote

$157K - $202K/yr

Work alongside global studio teams pushing the boundaries of digital innovation in engineering, AI, data, UX, and product delivery. * Be part of a remote-first, collaborative international culture ...

VP, Delivery & Customer Success

Seattle, WA · Remote

$157K - $202K/yr

Work alongside global studio teams pushing the boundaries of digital innovation in engineering, AI, data, UX, and product delivery. * Be part of a remote-first, collaborative international culture ...

Data & AI Operations Manager

Seattle, WA · On-site +1

$112K - $179K/yr

You will collaborate with stakeholders across Legal & Compliance, Operations, Data Engineering, and ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... This is a fully remote, flexible contract role built for experienced ML and engineering ...

Data/AI Solutions Architect

Seattle, WA · Remote

$180K - $210K/yr

... sales and engineering, driving growth in a fast-growing consultancy focused on data and AI ... LOCATION & WORK ARRANGEMENTS The role is remote, but you will be expected to travel occasionally to ...

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Showing results 1-20

Remote Ai Data Engineer information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

How much do remote ai data engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote ai data engineer in Bothell, WA is $145,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

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

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What is a Remote AI Data Engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

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

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.
What are popular job titles related to Remote Ai Data Engineer jobs in Bothell, WA? For Remote Ai Data Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Engineer jobs in Bothell, WA look for? The top searched job categories for Remote Ai Data Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Remote Ai Data Engineer jobs? Cities near Bothell, WA with the most Remote Ai Data Engineer job openings:
Remote AI Analyst

Remote AI Analyst

Turing

Seattle, WA • Remote

Other

Posted 5 days ago


Job description

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project. Open to recent graduates, professionals, and anyone interested in AI. If you actively use Google Wallet, you may already qualify for this exciting paid opportunity. No specialized technical background is required—just your everyday experience, attention to detail, and willingness to work with advanced AI tools. Earn while helping shape the future of AI.


About Turing:

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, tool use, and multimodality.


Role Overview :

Turing is seeking detail-oriented AI Analysts based in the United States to support a Google Wallet evaluation project. This is a Generalist role and do not require candidates from any specific background. In this role, you will interact with Gemini models, execute evaluation workflows, review model responses, and document findings using Google Sheets.


Duration of Contract - 10 weeks

Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap


What You'll Do Day-to-Day :

- Evaluate Gemini model responses by submitting prompts and assessing output quality, accuracy, and relevance.

- Review and document evaluation results, ratings, and observations using Google Sheets.

- Participate in Google Wallet-related testing scenarios and provide structured feedback on user experiences.

- Follow project guidelines and quality standards to support AI model improvement and evaluation objectives.


Requirements :

- Must be based in the United States and actively use Google Wallet.

- Must have at least one linked payment method (credit card, debit card, or bank account) and a minimum of 5 passes stored in Google Wallet.

- Must have a Plaid account or be willing to connect a bank account through Plaid for project participation.

- Must be comfortable using Google Wallet, linked payment methods, and Plaid connectivity as part of evaluation activities.

- Strong attention to detail, analytical thinking, and ability to follow structured guidelines.

- Experience with Google Sheets and familiarity with Gemini or other generative AI tools is preferred.

- Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.