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Remote Data Collection Jobs in Detroit, MI (NOW HIRING)

Anchor QEA

Environmental Field Lead

Detroit, MI · Remote

Remote, MI Job Type: Regular Full-time, non-exempt Whats the Opportunity? Anchor QEA is seeking a ... Perform field data collection using digital field technologies (tablets, GPS, specialized ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Experience with data collection from edge devices * Experience supporting ML workflows, including feature engineering pipelines, feature stores, or model input data preparation Salary Range: $170,000 ...

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Remote Data Collection information

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$15

$25

$31

How much do remote data collection jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for remote data collection in Detroit, MI is $25.05, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $25.72 per hour, depending on experience, location, and employer.

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

To excel in Remote Data Collection, candidates typically need strong analytical abilities, attention to detail, and proficiency in data entry, often supported by experience with spreadsheets or survey software. Familiarity with data management tools such as Microsoft Excel, Google Forms, or specialized data collection platforms is common, and some roles may require training in data privacy or security. Excellent time management, self-motivation, and clear virtual communication enable success in a remote environment. These skills ensure accurate, reliable data collection while maintaining productivity and collaboration from a distance.

What does a typical workday look like for someone in Remote Data Collection?

A typical day in remote data collection involves gathering, entering, and validating data from various sources such as online surveys, databases, or client submissions. You may collaborate virtually with a team to ensure data accuracy, resolve discrepancies, and report progress. The role often requires managing multiple tasks independently and communicating findings or issues through digital platforms like email or project management tools. While work schedules can often be flexible, meeting deadlines and quality standards is crucial for overall project success.

What is a Remote Data Collection job?

A Remote Data Collection job involves gathering, organizing, and managing data from various sources without needing to be physically present at a specific location. This can include tasks such as conducting surveys, researching online databases, verifying information, or inputting data into digital systems. These roles are common in industries like market research, artificial intelligence training, and business analytics. Strong attention to detail, internet proficiency, and the ability to work independently are key skills for success in this role.

What are the most commonly searched types of Data Collection jobs in Detroit, MI? The most popular types of Data Collection jobs in Detroit, MI are:
What are popular job titles related to Remote Data Collection jobs in Detroit, MI? For Remote Data Collection jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Remote Data Collection jobs in Detroit, MI look for? The top searched job categories for Remote Data Collection jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Remote Data Collection jobs? Cities near Detroit, MI with the most Remote Data Collection job openings:
Remote Data Collection jobs near you
Infographic showing various Remote Data Collection job openings in Detroit, MI as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $52,112 per year, or $25.1 per hour.
Dealer Audit - Data Analyst & AI Solutions

Dealer Audit - Data Analyst & AI Solutions

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted yesterday

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

The role requires a creative and detail-oriented individual. In this role, you will develop and respond to requests for data analysis to present a coherent vision of business activities, assisting the Dealer Audit teams and key stakeholders in making data-driven decisions. The selected candidate will provide a blend of technical and functional expertise.
AI Solutions: The role drives the identification, design, pilot, and scaling of AI and automation solutions across Dealer Audit. The role works to deliver measurable impact through workflow optimization, improved customer and employee experience, and digital process transformation. This role supports the broader organizational mission to accelerate digital transformation and scale AI adoption.
Key Responsibilities
  • Analyze large and complex data sets from multiple sources to identify trends, patterns, and insights
  • Work with stakeholders to propose, identify, and develop analytics requirements
  • Build visualization or perform further analysis based on requirements identified
  • Know business data and provide recommendations for improving knowledge and data quality
  • Support audit teams in deepening their knowledge and utilization of data and AI within testing
  • Stay up-to-date with the latest advancements in AI and data analytics technologies
  • Identify high-value AI, Copilot, and other automation opportunities to embed into daily operations
  • Conduct process mapping and problem analysis to define requirements and value hypotheses
  • Translate business needs into clear user stories, requirements, and acceptance criteria
  • Partner with stakeholders to ensure feasibility and solution integration
  • Develop deployment playbooks, documentation, and training assets
  • Create reusable templates, prompt libraries, workflows, or automation components
  • Define KPIs and measure performance, productivity, and financial outcomes
  • Ensure compliance with Stellantis' Responsible AI and Data Governance frameworks

Basic Qualifications
  • Bachelor's Degree in Business, Data Science, Statistics, Business Analytics, Management Information Systems, or a related field
  • A minimum of 5 years of experience as a Data Analyst, AI Analyst, or similar role
  • Strong knowledge of data visualization tools such as PowerBI, Tableau, Qlik, or similar tools
  • Familiarity with programming languages such as Python, R, SQL, NoSQL
  • Familiarity with platforms such as Visual Studio Code, Databricks, Snowflake, Palantir Foundry
  • Strong computer skills and highly proficient with Microsoft Office Suite (O365 / Online Collaboration Version)
  • AI literacy: understanding capabilities, limitations, risks, and responsible use
  • Flexible and adaptable to changing business environments and job responsibilities
  • Excellent written and verbal communication skills in English
  • Quantitative, analytical, and detail-oriented. Problem-solving skills
  • Strong project management skills; effective & efficient completing numerous tasks simultaneously
  • Knowledge of risk management, control objectives/activities, and automated/manual controls
  • Proficiency in data collection, warehousing, transformation, and analysis

Preferred Qualifications
  • Prior audit experience (financial, compliance, operational, or dealership/franchise)
  • Experience with automotive OEM dealership management systems
  • General understanding of the franchised dealership model
  • Experience with highly automated/digital processes; including but not limited to remote auditing techniques, claims processing, and optical recognition software
  • Advanced Degree in Business, Data Science, Statistics, Business Analytics, Management Information Systems, or a related field
  • 5+ years of (total) experience in the following areas:
  • Automotive (Retail) - In-depth knowledge of dealership retail processes and procedures, with emphasis on fixed operations departments.
  • Automotive (Technical) - In-depth knowledge of automotive technical information systems and repair/diagnostic procedures

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