ZipRecruiter

Log In

2

Remote Structural Engineering Research Jobs in Alaska

DataAnnotation

Decision Scientist

Juneau, AK · On-site +1

$60/hr

... research, or any other quantitative field, if you think rigorously about data and models, your ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

DataAnnotation

Physicist - AI Trainer

Juneau, AK · On-site +1

$40/hr

... research, or any other quantitative field, if you think rigorously about data and models, your ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

DataAnnotation

Logistics Analyst - AI Trainer

Juneau, AK · On-site +1

$40/hr

... research, or any other quantitative field, if you think rigorously about data and models, your ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

DataAnnotation

Growth Analyst - AI Trainer

Juneau, AK · On-site +1

$40/hr

... research, or any other quantitative field, if you think rigorously about data and models, your ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

DataAnnotation

Epidemiologist - AI Trainer

Juneau, AK · On-site +1

$40/hr

... research, or any other quantitative field, if you think rigorously about data and models, your ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

DataAnnotation

Economic Analyst - AI Trainer

Juneau, AK · On-site +1

$40/hr

... research, or any other quantitative field, if you think rigorously about data and models, your ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

next page

Showing results 1-20

People also search for

All JobsStructural Engineering Research JobsRemote Structural Engineering Research JobsRemote Structural Engineering Research Jobs in Alaska

Remote Structural Engineering Research information

What are the key skills and qualifications needed to thrive as a Remote Structural Engineering Researcher, and why are they important?

To thrive as a Remote Structural Engineering Researcher, you need an advanced degree in structural or civil engineering, strong analytical skills, and a solid understanding of mechanics and materials. Proficiency in structural analysis software (such as SAP2000, ANSYS, or ABAQUS), programming languages like MATLAB or Python, and familiarity with research methodologies are essential. Exceptional written communication, self-motivation, and problem-solving abilities distinguish top performers in remote research roles. These skills ensure rigorous, innovative, and reliable research outcomes while facilitating effective collaboration and independent work in a remote setting.

What are some common challenges faced by remote structural engineering researchers, and how can they be addressed?

Remote structural engineering researchers often encounter challenges related to effective communication and collaboration with team members, especially when working across different time zones. Accessing specialized software or large datasets can also be a hurdle due to varying hardware capabilities or internet connectivity. To overcome these, it's important to establish clear communication protocols, schedule regular virtual meetings, and utilize cloud-based platforms for sharing resources and conducting simulations. Proactively reaching out for feedback and participating in online research forums can also help maintain a sense of connection and support.

What is remote structural engineering research?

Remote structural engineering research involves conducting studies and analyses related to the design, analysis, and behavior of structures, but from a location outside of a traditional laboratory or office—often from home or another remote setting. This work typically uses digital tools, software simulations, and remote collaboration to investigate structural systems, materials, and methods. Researchers may focus on topics such as structural safety, innovative materials, building codes, and disaster resilience. Remote roles often require strong skills in computational modeling, data analysis, and virtual communication.

What is the difference between Remote Structural Engineering Research vs Remote Civil Engineering Design?

AspectRemote Structural Engineering ResearchRemote Civil Engineering Design
CredentialsEngineering degree, structural engineering certificationsEngineering degree, civil engineering licenses
Work EnvironmentResearch labs, academic institutions, remote collaborationDesign firms, consulting companies, remote project sites
Industry UsageAcademic research, structural analysis, material testingProject planning, infrastructure design, site development

Remote Structural Engineering Research focuses on analyzing and testing structural systems, often within academic or research settings, requiring specialized certifications. In contrast, Remote Civil Engineering Design involves creating infrastructure plans and designs, typically for construction projects. Both roles may be performed remotely but serve different industry needs and require distinct skill sets.

What are the most commonly searched types of Structural Engineering Research jobs in Alaska? The most popular types of Structural Engineering Research jobs in Alaska are:
What job categories do people searching Remote Structural Engineering Research jobs in Alaska look for? The top searched job categories for Remote Structural Engineering Research jobs in Alaska are:
What cities in Alaska are hiring for Remote Structural Engineering Research jobs? Cities in Alaska with the most Remote Structural Engineering Research job openings:
Remote Structural Engineering Research jobs near you
Decision Scientist

Decision Scientist

DataAnnotation

Juneau, AK • 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 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). 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. #J-18808-Ljbffr

Apply