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Remote Citizen Science Jobs in Michigan (NOW HIRING)

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Remote Citizen Science information

What is remote citizen science?

Remote citizen science refers to public participation in scientific research projects that can be done from a distance, often online. Volunteers help collect, analyze, or classify data for scientists, usually through web platforms or mobile apps, without needing to be physically present at research sites. This approach allows people from around the world to contribute to important scientific discoveries in areas like ecology, astronomy, and public health. Remote citizen science makes science more accessible and enables large-scale data collection that would otherwise be difficult or costly for professional researchers.

What are the key skills and qualifications needed to thrive as a remote citizen science participant?

To thrive as a Remote Citizen Science participant, you need strong observational skills, attention to detail, and a basic understanding of scientific methods, often supported by relevant training or tutorials provided by project organizers. Familiarity with online data collection platforms, mobile apps, and digital communication tools is typically required. Reliability, curiosity, and effective communication are valuable soft skills that help you contribute accurate data and collaborate with project teams. These skills ensure high-quality contributions, foster meaningful engagement, and support the success of scientific research conducted remotely.

What are some common challenges faced by remote citizen science volunteers, and how can they be addressed?

Remote citizen science volunteers often encounter challenges such as staying motivated without direct supervision, interpreting data collection protocols accurately, and communicating effectively with project coordinators. To overcome these obstacles, many projects offer online training, clear guidelines, and regular virtual meetings to foster a sense of community. Engaging with discussion forums or project updates can also help volunteers feel connected and supported, ensuring a rewarding and productive experience.

What is the difference between Remote Citizen Science vs Remote Data Analyst?

AspectRemote Citizen ScienceRemote Data Analyst
Required CredentialsTypically no formal degree, but knowledge of science or research methods helpsBachelor's or higher in statistics, data science, or related field
Work EnvironmentVolunteer or research-based projects, often community-drivenCorporate or research organizations, analyzing data remotely
Employer & Industry UsageNonprofits, research institutions, citizen science platformsBusinesses, government agencies, research firms
Search & Comparison IntentUnderstanding volunteer research roles, community scienceData analysis jobs, remote data work opportunities

Remote Citizen Science involves participating in scientific research projects often on a volunteer basis, focusing on community-driven or research institution work. Remote Data Analysts analyze data for organizations, requiring specific degrees and technical skills. While both roles involve remote work, Citizen Science emphasizes community engagement and research participation, whereas Data Analysts focus on data interpretation and reporting for organizations.

What are popular job titles related to Remote Citizen Science jobs in Michigan?

For Remote Citizen Science jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Citizen Science jobs in Michigan look for?

The top searched job categories for Remote Citizen Science jobs in Michigan are:

What cities in Michigan are hiring for Remote Citizen Science jobs?

Cities in Michigan with the most Remote Citizen Science job openings:

Remote Citizen Science jobs near you

Digital Manufacturing Analyst (Junior / Entry-Level)

Aquent

Royal Oak, MI • On-site, Remote

$30 - $40/hr

Temporary

Posted 3 days ago

New

Job description

Placement Type:
Temporary
Salary:
$30-40 Hourly
Start Date:
ASAP
Are you a self-described "data nerd" who genuinely enjoys digging into raw data, finding patterns, and making processes cleaner and more consistent?
Our Digital Manufacturing Intelligence team is seeking a Junior Digital Manufacturing Analyst to support ongoing enterprise data analytics, dashboard scaling, and process monitoring across multiple continuous manufacturing facilities. This is a 100% remote, long-term contract role (20-30 hours per week) designed for an entry-level or early-career technical professional (0-2 years of experience) who thrives on solving real-world operational problems through data.
Key Highlights of the Role:
  • Role Type: Ongoing Temporary / Contract Staff Augmentation (20-30 hours/week)
  • Location: 100% Remote (Primary facilities located across the US)
  • Work Authorization: Must be a US Citizen or Green Card Holder; No C2C
  • Core Focus: Building and standardizing enterprise dashboards (Power BI, Python), auditing plant data signals, and supporting Statistical Process Control (SPC) charting.
  • Professional Growth: Hands-on experience working directly with plant engineers and digital transformation leaders, plus full company-sponsored training on Seeq (industrial analytics platform).
Key Responsibilities:
  • Dashboard Development & Standardization: Update, enhance, and standardize manufacturing dashboards across multiple plant locations to ensure consistent visual layouts, units, and metrics.
  • Manufacturing Data Auditing & Analysis: Gather, clean, and audit plant production and equipment signal data across databases to identify gaps, trends, and anomalies.
  • Process Performance Monitoring: Build and maintain Statistical Process Control (SPC) charts and monitoring visualizations to support process control and root cause investigations.
  • Cross-Functional Collaboration: Partner with plant engineers, reliability specialists, and remote data teams to refine metrics, present findings, and continuously improve tools.
What We're Looking For:
  • Education: Recent graduate or currently pursuing a degree in Engineering (Chemical, Mechanical, Electrical, Mechatronics, Reliability), Computer Science, Engineering Technology, or a related technical discipline.
  • Technical Skills: Familiarity or experience with data analysis and BI tools (Python, Power BI, SQL, or similar platforms). Full training provided on Seeq.
  • Process Understanding: Foundational awareness of manufacturing process data, signals (pressure, temperature, current), and basic statistical process control concepts.
  • Mindset: Highly detail-oriented (focus on consistency, formatting, and accuracy), self-motivated for remote work, and naturally curious about how manufacturing systems work.
Preferred Qualifications
  • Exposure to industrial environments, SCADA, MES systems, or process control systems.
  • Experience in glass, building products, or continuous process manufacturing.

#LI-LDR
Client Description
Owens Corning is an American company that develops and produces insulation, roofing, and fiberglass composites and related materials and products. It is the world's largest manufacturer of fiberglass composites. It was formed in 1935 as a partnership between two major American glassworks, Corning Glass Works and Owens-Illinois

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