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Senior Data Annotation Analyst Jobs in Michigan (NOW HIRING)

Strategic Staffing Solutions

Sr. Data Analyst

Detroit, MI · Hybrid

$85K - $107K/yr

Senior Data Analyst Location: Detroit, MI (Hybrid) Duration: 12 Month Contract Job Summary The Senior Data Analyst will lead the identification, evaluation, and development of analytics, AI ...

MyMichigan Health

Sr Data Analyst

Midland, MI · On-site

$73K - $93K/yr

The Senior Data Analyst leads initiatives for stringent data governance, collaborating cross-functionally to standardize data collection methodologies and ensure compliance. Facilitating end-user ...

Niowave Inc.

Senior Data Analyst

Lansing, MI

$78K - $98K/yr

Senior Data Analyst Who we are... We are a team of scientists, engineers, technicians, and innovators dedicated to changing the world by developing medical isotopes to treat and eradicate cancer. We ...

Rock Connections

Senior Data Analyst - Product

Detroit, MI

$85K - $107K/yr

As a Senior Data Analyst for Rocket Loans, you'll be a strategic partner to our leadership, collecting, analyzing, and reporting on data that drives operational excellence. You'll work closely with ...

CFS

Senior Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

Position: Senior Data Engineer Salary: $125,000-$155,000 Benefits: Free Healthcare options ... Collaborate with business analysts and stakeholders to gather requirements and deliver clean ...

Goldfish Swim School Franchising

Sr Data Architect

Troy, MI · On-site

$64 - $85.50/hr

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 ...

Goldfish Swim School

Sr Data Architect

Troy, MI · On-site

$120 - $170/hr

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 ...

Stantec

Senior Data Architect

Detroit, MI · On-site

$66.50 - $89/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Experience: 10+ years of experience in data architecture, data analysis, or related IT roles, with ...

FastTek

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data Engineer #1061723 Position Summary: The Michigan Department of Technology, Management ... Analyze project, portfolio, financial, schedule, resource, governance, and operational data to ...

Stantec

Senior Data Architect

Detroit, MI · On-site

$61.50 - $82.25/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Experience: 10+ years of experience in data architecture, data analysis, or related IT roles, with ...

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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.

Sr. Data Analyst

Strategic Staffing Solutions

Detroit, MI • Hybrid

$85K - $107K/yr

Contractor

Posted 7 days ago

Job description

Job Description Senior Data Analyst Location: Detroit, MI (Hybrid) Duration: 12 Month Contract Job Summary The Senior Data Analyst will lead the identification, evaluation, and development of analytics, AI, automation, and digital transformation use cases that deliver measurable business value. This role works closely with business stakeholders to understand strategic priorities, define product requirements, assess opportunities, and develop business cases and implementation roadmaps. The consultant will serve as a bridge between business, analytics, and technology teams to drive successful delivery and value realization.

Key Skills & Experience Strong business acumen and stakeholder management skills Experience with AI, analytics, automation, and digital transformation initiatives Product Requirement Document (PRD) development and business case creation Use case evaluation, prioritization, and feasibility analysis SQL and Python proficiency Statistics, forecasting, experimentation, and decision analytics Knowledge of data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality Executive-level communication and presentation skills Experience translating business requirements into actionable technical requirements Core Competencies Business Acumen Product Strategy & Product Management Use Case Vetting & Prioritization PRD Development Feasibility & Viability Analysis Statistics & Decision Analytics SQL & Python Proficiency Data & Solution Architecture Awareness Executive Communication Value Realization Stakeholder Management Strategic Road mapping

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