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Remote Environmental Data Analyst Jobs in Indiana

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Remote Environmental Data Analyst information

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

A Remote Environmental Data Analyst should have a solid background in environmental science, statistics, and data analysis, typically supported by a relevant degree. Familiarity with data analysis tools like R, Python, GIS software, and remote sensing platforms is essential, along with experience handling large environmental datasets. Strong analytical thinking, attention to detail, and effective written communication are critical soft skills for interpreting data and collaborating remotely. These competencies enable accurate environmental assessments and support informed decision-making for sustainability initiatives.

What does a Remote Environmental Data Analyst do?

A Remote Environmental Data Analyst collects, processes, and interprets environmental data such as air quality, water resources, or climate information, all while working from a remote location. They use statistical tools and software to analyze large datasets, identify patterns, and produce reports that support environmental research or policy decisions. Their work often involves collaborating with scientists, government agencies, or private organizations to help monitor and address environmental issues. Strong analytical skills and proficiency in data analysis software are essential for this role.

How does a Remote Environmental Data Analyst typically collaborate with other team members and stakeholders?

As a Remote Environmental Data Analyst, you often work closely with interdisciplinary teams that may include scientists, engineers, project managers, and government agencies. Collaboration is typically facilitated through digital communication tools, shared data platforms, and regular virtual meetings. Your role often involves interpreting data, generating reports, and presenting findings to both technical and non-technical stakeholders. Strong communication skills are essential, as you may need to explain complex data trends or offer actionable recommendations to support environmental projects and policy decisions.
What are the most commonly searched types of Environmental Data Analyst jobs in Indiana? The most popular types of Environmental Data Analyst jobs in Indiana are:
What are popular job titles related to Remote Environmental Data Analyst jobs in Indiana? For Remote Environmental Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Environmental Data Analyst jobs in Indiana look for? The top searched job categories for Remote Environmental Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Remote Environmental Data Analyst jobs? Cities in Indiana with the most Remote Environmental Data Analyst job openings:
Remote Environmental Data Analyst jobs near you
Infographic showing various Remote Environmental Data Analyst job openings in Indiana as of June 2026, with employment types broken down into 2% As Needed, 68% Full Time, 20% Part Time, 3% Temporary, 5% Contract, and 2% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.
Remote Investment Analyst - AI Trainer ($50-$60 per hour)

Remote Investment Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Crawfordsville, IN • Remote

$50 - $60/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.


We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.


We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might:

  • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
  • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work
  • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.
  • Share clear, structured feedback to help make each new version of the AI smarter and more reliable.


To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.


Benefits:

  • This is a full-time or part-time REMOTE position
  • You’ll be able to choose which projects you want to work on
  • You can work on your own schedule
  • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work


Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance


Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • A current, in progress, or completed Masters and/or PhD is is preferred but not required


Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

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