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Remote Smart Crowd Data Entry Jobs in Lansing, MI

... provide data entry / management support via SCMP technology platform. * Responsible for data ... Location: Remote -Atlanta, GA, Charlotte, NC, Chicago, IL, Detroit, MI, Harrisburg, PA ...

Departmental Analyst 9-P11

Lansing, MI · On-site +1

$24.92 - $40.51/hr

Permanent Full Time Remote Employment: Flexible/Hybrid Job Number: 2701-26-13-58 Department ... Consolidates data and prepares reports with recommendations for next steps to move entity into ...

Departmental Analyst 9-P11

Lansing, MI · On-site +1

$24.92 - $40.51/hr

Consolidates data and prepares reports with recommendations for next steps to move entity into ... Oversees inventory and packing when an external entity executes an Order of Entry. This position ...

Remote Smart Crowd Data Entry information

See Lansing, MI salary details

$11

$19

$28

How much do remote smart crowd data entry jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote smart crowd data entry in Lansing, MI is $19.75, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $22.16 per hour, depending on experience, location, and employer.

What is a Remote Smart Crowd Data Entry?

Remote Smart Crowd Data Entry jobs involve working from home to input, verify, or organize data for various companies or organizations. These positions are typically project-based and require individuals to complete specific tasks, such as transcribing information, categorizing content, or verifying data accuracy. Workers are often part of a larger 'crowd' of remote freelancers who contribute to ongoing data projects. This type of job offers flexibility in terms of work hours and does not usually require advanced technical skills, but attention to detail and reliability are essential. Most positions require a computer and reliable internet connection.

What skills and qualifications are needed to thrive as a Remote Smart Crowd Data Entry?

To thrive as a Remote Smart Crowd Data Entry worker, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with data entry software, spreadsheets, and online crowdsourcing platforms is typically required. Self-motivation, time management, and reliability are essential soft skills for meeting deadlines and maintaining quality in a remote environment. These skills ensure accurate data processing and consistent performance, which are crucial for client satisfaction and operational efficiency.

What are common challenges faced by Remote Smart Crowd Data Entry, and how can they be managed?

Remote Smart Crowd Data Entry professionals often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively without direct supervision, and ensuring data accuracy. To address these challenges, it’s helpful to establish a structured work schedule, use productivity tools or task managers, and take regular breaks to avoid fatigue. Double-checking your work and staying updated on project guidelines also help maintain high-quality output, and many teams offer online forums or support channels to connect with peers for advice and motivation.

What is the difference between Remote Smart Crowd Data Entry vs Remote Amazon Mechanical Turk Worker?

AspectRemote Smart Crowd Data EntryRemote Amazon Mechanical Turk Worker
CredentialsBasic data entry skills, sometimes with specific platform trainingNone required, but familiarity with online tasks helpful
Work EnvironmentRemote, flexible hours, task-basedRemote, flexible hours, micro-tasks
Industry UsageData management, research, surveysData labeling, surveys, content moderation
Common Search IntentData entry jobs, remote data tasksMicro-task jobs, online gig work

Remote Smart Crowd Data Entry involves completing data entry tasks with specific training, often for research or data management companies. In contrast, Remote Amazon Mechanical Turk Worker performs micro-tasks like surveys or data labeling on a platform that offers a wide variety of small online jobs. Both roles are remote and flexible but differ in task complexity and platform usage.

What are popular job titles related to Remote Smart Crowd Data Entry jobs in Lansing, MI?

For Remote Smart Crowd Data Entry jobs in Lansing, MI, the most frequently searched job titles are:

What job categories do people searching Remote Smart Crowd Data Entry jobs in Lansing, MI look for?

The top searched job categories for Remote Smart Crowd Data Entry jobs in Lansing, MI are:

What cities near Lansing, MI are hiring for Remote Smart Crowd Data Entry jobs?

Cities near Lansing, MI with the most Remote Smart Crowd Data Entry job openings:

Infographic showing various Remote Smart Crowd Data Entry job openings in Lansing, MI as of August 2026, with employment types broken down into 71% Full Time, 17% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $41,082 per year, or $19.8 per hour.

Special Investigations Unit Data Analyst

Delta Dental of Michigan

Okemos, MI • Remote

Full-time

Medical, Dental

Re-posted yesterday


Key responsibilities

  • Designs, develops, validates, and deploys data-driven analytics, predictive models, reporting solutions, and analytical research to support program integrity initiatives.

  • Investigates referrals, performs provider research, analyzes billing and utilization patterns to identify outliers, trends, and potential fraud, waste, or abuse.

  • Creates and maintains dashboards, reports, databases, and analytical tools to support operational oversight, decision-making, and automated workflows.


Job description

Job Title:

Special Investigations Unit Data Analyst

Number of Positions:

1

Location:

Okemos, MI

Location Specifics:

Fully Remote

Job Summary:

Candidates must reside in Michigan within a reasonable commuting distance of our Okemos, MI office for team meetings, collaborative sessions, and training.

At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.

At Delta Dental, we celebrate our All In culture. It's a mindset, feeling and attitude we wrap around all that we do - from taking charge of our careers, to helping colleagues and lending a hand in the community.

Position Description:

To administer data driven activities by transforming raw data into actionable information.

Primary Job Responsibilities:

  • Designs, develops, validates, and deploys data-driven analytics, predictive models, reporting solutions, and end-to-end analytical research to support Professional Review program integrity initiatives, including defining objectives, selecting and evaluating data sources, determining methodologies, performing analysis and testing, conducting quality assurance, and interpreting findings.

  • Investigates internal and external referrals, performs provider research and preliminary investigative reviews, substantiates referral activity, documents work in the appropriate case management system, and analyzes provider billing, utilization, and treatment patterns to identify outliers, emerging trends, potential fraud, waste, and abuse activity, and other areas requiring monitoring or intervention.

  • Develops recommendations regarding provider placement on or removal from Focused Review; maintains associated provider status, tracking, documentation, and follow-up records; and prepares and sends welcome and removal letters and related provider communications.

  • Creates, maintains, and enhances dashboards, databases, monitoring reports, analytic tools, scripts, and repeatable processes that support operational oversight, program integrity initiatives, performance measurement, leadership decision-making, recurring reporting, and automated analytical workflows.

  • Collects, transforms, cleanses, validates, organizes, troubleshoots, and resolves data, reporting, database, and system issues to support analysis-ready data, consistent definitions across sources, and data availability, usability, integrity, and reporting effectiveness.

  • Tracks, analyzes, and reports on denial trends, overpayments, provider performance metrics, fraud, waste, and abuse activity, and other key program integrity indicators while supporting program integrity initiatives, audits, regulatory requests, RFP responses, and special projects through data gathering, analysis, response preparation, and recommendations.

  • Serves as a consultant and subject matter resource for internal and external stakeholders by translating business needs, reporting questions, research requests, needs assessments, case studies, and related analytic deliverables into clear insights that support monitoring activities, operational improvement, and strategic decision-making.

  • Leads or supports Special Investigations Unit and program integrity meetings by developing agendas, documenting meeting minutes, reviewing provider billing and treatment patterns, and tracking follow-up items through completion.

#LI-Remote

Minimum Requirements:

Position requires a bachelor's degree in computer science, information systems, business administration or a related field and three years of experience performing data analytics in a business setting. Will accept any suitable combination or education, training, or experience.

Position requires general knowledge of insurance business, the claims processing system and other business applications; the ability to use data extraction and analysis tools, such as Microsoft Excel, Access, PowerPoint, Oracle Discoverer, ACL and others; strong communication skills; and the ability to resolve problems and use independent judgment.

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.