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Remote Economic Development Jobs in Nebraska (NOW HIRING)

CSAA

$83.30K - $110.30K/yr

Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ... development opportunities, and support longterm success. Flexible Workplace: We embrace a remote ...

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$29.6K

$98.2K

$147.8K

How much do remote economic development jobs pay per year?

As of May 30, 2026, the average yearly pay for remote economic development in Nebraska is $98,225.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $118,700.00 per year, depending on experience, location, and employer.

What is a Remote Economic Development job?

A Remote Economic Development job focuses on fostering economic growth and sustainability in various regions while working remotely. Professionals in this field analyze market trends, develop policies, and collaborate with businesses and government agencies to attract investments and create job opportunities. They may also work on digital infrastructure projects to support remote work and entrepreneurship. This role often requires skills in economic analysis, project management, and stakeholder engagement.

What are the key skills and qualifications needed to thrive in the Remote Economic Development position, and why are they important?

A Remote Economic Development professional should possess strong analytical skills, a background in economics or urban planning, and experience with policy analysis or project management. Familiarity with GIS software, economic modeling tools, and CRM platforms like Salesforce is often required, while certifications in economic development (such as CEcD) can be advantageous. Excellent communication, relationship-building, and self-motivation are crucial soft skills for engaging stakeholders and managing projects effectively in a virtual environment. These competencies ensure the successful development, execution, and promotion of initiatives that drive economic growth across diverse communities.

What are some common challenges faced by professionals working in remote economic development roles?

Remote economic development professionals often encounter challenges such as building strong local relationships without frequent in-person meetings, staying updated on regional needs from a distance, and coordinating projects across multiple time zones or jurisdictions. Effective communication and proactive engagement with local stakeholders are essential to overcome these hurdles. Many remote teams leverage virtual collaboration tools and regularly scheduled check-ins to maintain a sense of connection and keep projects on track. Successfully navigating these challenges can help you make a meaningful impact on communities, even when working from afar.
More about Remote Economic Development jobs
What are the most commonly searched types of Economic Development jobs in Nebraska? The most popular types of Economic Development jobs in Nebraska are:
What are popular job titles related to Remote Economic Development jobs in Nebraska? For Remote Economic Development jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Remote Economic Development jobs in Nebraska look for? The top searched job categories for Remote Economic Development jobs in Nebraska are:
Remote Economic Development jobs near you
Economist - AI Trainer

Economist - AI Trainer

DataAnnotation

Lincoln, NE • On-site, Remote

$40/hr

Full-time

Posted 18 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, starting at $40+ USD per 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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