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Remote Competition Economist Jobs (NOW HIRING)

DataAnnotation

Economist - AI Trainer

Washington, DC · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Wyoming, OH · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Annapolis, MD · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Virginia, MN · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Juneau, AK · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

El Paso, TX · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Helena, MT · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Oklahoma City, OK · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Springfield, IL · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Florida, NY · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Brooklyn, NY · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Little Rock, AR · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Montgomery, AL · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Providence, RI · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Kansas City, MO · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Jackson, MS · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Honolulu, HI · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Santa Fe, NM · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Nevada, IA · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Economist - AI Trainer

Hartford, CT · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

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Remote Competition Economist information

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$46K

$82.1K

$122.5K

How much do remote competition economist jobs pay per year?

As of May 30, 2026, the average yearly pay for remote competition economist in the United States is $82,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $98,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Competition Economist, you need a strong background in economics, quantitative analysis, and competition law, often supported by an advanced degree such as a master's or PhD in economics or a related field. Familiarity with statistical software (like Stata, R, or Python), econometric modeling, and data analysis tools is typically required. Outstanding written and verbal communication, critical thinking, and the ability to work independently are vital soft skills. These competencies are crucial for delivering rigorous, data-driven insights and clear recommendations in complex, high-stakes antitrust and regulatory matters while collaborating remotely.

How do Remote Competition Economists typically collaborate with legal teams and clients during antitrust investigations?

Remote Competition Economists often work closely with legal professionals and clients to analyze market data, assess competitive dynamics, and provide expert insights during antitrust investigations. Collaboration usually involves regular virtual meetings, sharing complex economic models, and preparing clear, data-driven reports that support legal arguments. Effective communication is essential, as these economists must translate technical findings into actionable advice for non-economists. Building strong relationships remotely with legal teams ensures alignment and efficient handling of sensitive, time-critical matters.

What does a Remote Competition Economist do?

A Remote Competition Economist analyzes markets and industries to assess how competition affects pricing, consumer choice, and business behavior, often working from a remote location. They use economic theory, data analysis, and modeling to evaluate mergers, investigate anti-competitive practices, and advise policymakers or legal teams. Their work helps ensure fair competition and compliance with antitrust laws, and they may prepare reports or provide expert testimony. Working remotely, they collaborate with clients and teams using digital tools and communication platforms.

What is the difference between Remote Competition Economist vs Remote Data Analyst?

AspectRemote Competition EconomistRemote Data Analyst
Required CredentialsAdvanced degree in Economics or related field, often with specialization in competition policyBachelor's or master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, policy analysis, economic modeling, often in consulting or government sectorsData processing, visualization, reporting, typically in tech, finance, or healthcare industries
Employer & Industry UsageConsulting firms, government agencies, think tanksCorporations, consulting firms, tech companies, finance

Remote Competition Economists analyze market competition, conduct economic modeling, and advise on policy, requiring advanced economics credentials. Remote Data Analysts focus on data interpretation, visualization, and reporting, with a broader range of educational backgrounds. While both roles often work remotely and in analytical environments, their core functions and industry applications differ significantly.

More about Remote Competition Economist jobs
What cities are hiring for Remote Competition Economist jobs? Cities with the most Remote Competition Economist job openings:
What are the most commonly searched types of Competition Economist jobs? The most popular types of Competition Economist jobs are:
What states have the most Remote Competition Economist jobs? States with the most job openings for Remote Competition Economist jobs include:
What job categories do people searching Remote Competition Economist jobs look for? The top searched job categories for Remote Competition Economist jobs are:
Remote Competition Economist jobs near you
Economist - AI Trainer

Economist - AI Trainer

DataAnnotation

Washington, DC • On-site, Remote

$60/hr

Full-time

Posted 20 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). 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

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