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Senior Data Annotation Analyst Jobs in Michigan (NOW HIRING)

Goldfish Swim School

Sr Data Architect

Troy, MI · On-site

$64 - $85.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Sr Data Architect serves as the primary hands-on owner across systems, data flows, and ... Data, Reporting & Analytics: Maintain and expand reporting across Salesforce, iClassPro, and ...

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Working closely with Data Engineers, BI analysts, business stakeholders, and external consultants ... The Sr. Data Engineer must be a strong problem solver and multitasker who thrives managing multiple ...

Global Information Technology

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data EngineerJob Location: Lansing, MI (Hybrid)Job Type: Contract / Requirement: * 3-7 years ... Strong experience in project management reporting and portfolio analytics. * Hands-on experience ...

Global Information Technology

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data EngineerJob Location: Lansing, MI (Hybrid)Job Type: Contract / Requirement:3-7 years of ... Strong experience in project management reporting and portfolio analytics.Hands-on experience with ...

Stellantis

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

About the Role Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into ... and analytics use cases * Promote maintainable structures, reusable components and clear lineage ...

Agile Tech Labs

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data Engineer Job Location: Lansing, MI (Hybrid) Job Type: Contract / Requirement: * 3-7 ... Strong experience in project management reporting and portfolio analytics. * Hands-on experience ...

Agile Tech Labs

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data Engineer Job Location: Lansing, MI (Hybrid) Job Type: Contract / Requirement: * 3-7 ... Strong experience in project management reporting and portfolio analytics. * Hands-on experience ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

In Global Data Insight & Analytics (GDIA), we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

In Global Data Insight & Analytics (GDIA), we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

In Global Data Insight & Analytics (GDIA), we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to ...

CSAA

  • Retirement

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

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Showing results 21-40

All JobsData Annotation Analyst JobsSenior Data Annotation Analyst JobsSenior Data Annotation Analyst Jobs in Michigan

Senior Data Annotation Analyst information

What is a senior data annotation analyst?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

What are the key skills and qualifications needed to thrive as a senior data annotation analyst?

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a senior data annotation analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, with pay varying based on experience, location, and the complexity of tasks. While some roles offer higher pay for specialized skills or certifications, overall compensation is generally modest compared to other tech roles.

Is data annotation still hiring?

Data annotation roles, including senior positions, are actively hiring as companies expand their AI and machine learning projects. These jobs often require attention to detail and familiarity with annotation tools, and they are available in both remote and on-site formats. Demand remains steady due to ongoing growth in AI data needs.

What does a senior data annotation analyst do?

A senior data annotation analyst is responsible for reviewing, labeling, and validating data to ensure accuracy for machine learning models. They often use annotation tools and may oversee junior team members, ensuring data quality and consistency in projects involving image, text, or video data.

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 cities in Michigan are hiring for Senior Data Annotation Analyst jobs?

Cities in Michigan with the most Senior Data Annotation Analyst job openings:

Senior Data Annotation Analyst jobs near you
Infographic showing various Senior Data Annotation Analyst job openings in Michigan as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

Prov Net Ops Data Analyst Sr

Amerihealth Caritas

Southfield, MI • Remote

$78K - $99K/yr

Full-time

Posted 11 days ago

AmeriHealth Caritas rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

129th of 310 rated insurance

Job description

Role Overview: The Senior Provider Network Operations Senior Data Analyst serves as a subject matter expert and key support resource within Provider Network Operations. This role is responsible for training new hires, keeping the team informed and prepared as process or system changes occur, supporting analysts with complex questions, and ensuring accurate, compliant, and timely processing of provider data, rosters, and provider files.

Work Arrangement:

  • Remote - This position is fully remote for candidates residing in Michigan. Occasional travel for meetings, training, or business needs may be required.

Responsibilities:

  • Serve as a go-to subject matter expert for Provider Network Operations processes, including incoming provider data, provider enrollment file completion, and Facets updates.
  • Train new hires and provide ongoing education to analysts to ensure the team remains knowledgeable, consistent, and prepared as business requirements, systems, reporting needs, or processes change.
  • Process and oversee complex provider data files, large rosters, provider enrollments, and related updates while ensuring information is entered accurately and maintained appropriately in Facets and other applicable systems.
  • Monitor analyst workloads, review processing quality, audit analyst work, identify coaching opportunities, and provide guidance to support accuracy, productivity, and adherence to established procedures.
  • Develop new ideas and recommend process improvements that strengthen data quality, streamline enrollment and roster workflows, and improve team effectiveness.
  • Ensure provider data is accurate, complete, and compliant with internal standards, business rules, and reporting requirements; research and resolve discrepancies in a timely and thorough manner.
  • Maintain strong working relationships with provider groups, internal business partners, and cross-functional teams to support provider enrollment, data integrity, issue resolution, and operational needs.
  • User Acceptance Testing (UAT)/Client Review & audit (fee schedule concentration), reviews requests prior to initial submission to EO, and claims post-production
  • Capitation reconciliations, building queries, and comparing membership
  • Internal business report development; engagement with regulatory reporting
  • BAM/claim reporting submission and analysis, depending on complexity
  • Perform additional duties and special projects as assigned.

Education & Experience:

  • Bachelor's degree or equivalent combination of education and relevant work experience.
  • 3 to 5 years of experience in data analysis, healthcare operations, provider network operations, provider data operations, or a related field.
  • Experience with provider enrollment and changes.
  • Experience developing reports and analyzing complex datasets.
  • Managed care or healthcare experience preferred
  • Knowledge of Facets or similar healthcare administration platforms.

Skills & Abilities:

  • Strong analytical and problem-solving skills with the ability to identify trends, root causes, and actionable insights.
  • Proficiency in Microsoft Office Suite, particularly Excel, Word
  • Ability to prioritize and manage multiple competing priorities and projects simultaneously in a fast-paced environment.
  • Strong attention to detail and commitment to data accuracy.
  • Excellent organizational and communication skills.
  • Patience and professionalism when training new hires, coaching analysts, and supporting team members through process or system changes.
  • Flexible, adaptable, and willing to adjust to changing business needs, priorities, and deadlines.
  • Strong team player with a collaborative approach and willingness to support others to meet team and department goals.
  • Ability to work independently while effectively collaborating with cross-functional teams.
  • Experience supporting regulatory reporting and compliance initiatives preferred.
Employment Type: FULL_TIME

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