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Remote Data Annotation Analyst Jobs in Michigan (NOW HIRING)

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Excellent analytical skills to troubleshoot and resolve systems problems * Must have: Cogito ...

EverCommerce

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Remote, US The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K ...

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EverCommerce

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Remote, US The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K ...

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Remote Data Annotation Analyst information

How does a Remote Data Annotation Analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What are Remote Data Annotation Analysts?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

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

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.
What are the most commonly searched types of Data Annotation Analyst jobs in Michigan? The most popular types of Data Annotation Analyst jobs in Michigan are:
What are popular job titles related to Remote Data Annotation Analyst jobs in Michigan? For Remote Data Annotation Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation Analyst jobs in Michigan look for? The top searched job categories for Remote Data Annotation Analyst jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Annotation Analyst jobs? Cities in Michigan with the most Remote Data Annotation Analyst job openings:
Remote Data Annotation Analyst jobs near you
Infographic showing various Remote Data Annotation Analyst job openings in Michigan as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% Remote job distribution.
Epic Data Engineer

Epic Data Engineer

Stefanini Group

Grand Rapids, MI • Remote

Contractor

Posted 16 days ago

Job description

Stefanini Group is hiring!
Stefanini is looking for Epic Data Engineer-Remote
For quick apply, please contact Sudhanshu Shrivastava; Ph: 248 582 6510
Sudhanshu.shrivastava@stefanini.com
 
W2 Candidates Only!
 
 
Job Summary:
Data Engineers work collaboratively with architects, business intelligence developers, data analysts and data scientists to build and maintain analytic solutions utilizing both traditional on-premises and cloud-based platforms. The Senior Data Engineer is an experienced data pipeline builder and data wrangler with an aptitude for identifying nuances and patterns within complex datasets with the goal of transforming raw data into timely, reliable data sets. This role is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection to support business needs.
 
Essential Functions:
  • Develops, tests, and deploys ELT / ETL processes across multiple sources, targets and tools with no supervision.
  • Provides support and recommendations to intermediary level engineers to enhance their technical skills. Collaborates with data consumers of varying skill levels on available data sources and potential biases within datasets.
  • Provides operational and ad-hoc support for systems and applications troubleshooting and maintenance for incidents related to data warehouses, datasets and data pipelines.
  • Participates in the design, development, and implementation of conceptual, logical, and physical data models.
  • Adheres to the team's application of best practices and organizational standards of the Software Development Lifecycle to ensure high quality and reliable data assets.  Follows the organizational standards and laws governing use of sensitive data relating to Protected Health Information (PHI) and Personally Identifiable Information (PII).
  • Develops Continuous Integration and Continuous Development (CI/CD) processes focused on acceleration of value delivery and minimizing manual touchpoints.
  • Participates in enterprise-wide Agile ceremonies determining and recommending technical programming approaches and solutions to complex applications.  Works independently or collaboratively to capture, document, and groom features and stories for planning and execution.
 
 
#LI-SS3
#LI-REMOTE

Must have epic certifications:
  • Cogito
  • Clarity Data
  • Caboodle Data Model
 
Must Have
  • Atleast five years of relevant experience developing and supporting applications, and or system development lifecycle including coding, testing, and implementation required
  • Effective and self-sufficient in working within a diverse technology portfolio
  • Excellent analytical skills to troubleshoot and resolve systems problems
  • Must have: Cogito, Clarity Data model, Caboodle Data Model
  • Strong Experience in Programming; Well-versed with concepts and techniques of Business Intelligence and Data Warehousing
  • Strong written and oral communication skills with ability to interpret technical requirements
 
Nice To Have
  • Epic certifications in Cogito Tools Administration or Caboodle Development for Clarity Data or Caboodle Development for Non-Epic Data
  • Experience in Facets
  • Snowflake Experience
 
Qualifications:
  • Bachelor's Degree or equivalent Preferred Master's Degree
  • 5 years of relevant experience Required
 
 
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.
 
About Stefanini Group:
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMM Level 5 company
Education:Bachelor (BA, BS...)Employment Type: CONTRACTOR

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