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Senior Data Annotation Analyst Jobs in Michigan (NOW HIRING)

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Senior Data Scientist

Birmingham, MI · On-site

$73.15 - $96.20/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're a full-service media agency where nearly half our experts focus on data, research, analytics ... The Senior Data Scientist collaborates with planning, audience strategy, and analytics teams to ...

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$140K - $200K/yr

As a Senior Data Engineer at Mariana, you'll own a data domain end-to-end-designing the pipelines ... Model time-series and analytical plant data for both human analysis and machine learning training ...

HTC Global Services

Senior Data Engineer

Dearborn, MI · On-site

$97K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Title: Senior Data Engineer Overview We are seeking an experienced Senior Data Engineer to ... Strong analytical, problem-solving, and critical thinking skills. * Excellent communication and ...

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

They are seeking a Senior Data Engineer to design and build data pipelines that ensure the ... analytical results--including schema design, orchestration, reliability, and the contract it ...

Stellantis

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Ford Motor Company

ADAS Data Platform Supervisor

Dearborn, MI · Hybrid

$129K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... tools and data annotation platforms that fuel our analytics engine. The ideal candidate is a ... senior engineers. The ability to distill high-level requirements and granular software ...

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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.

Senior Data Scientist - Metrics

May Mobility

Ann Arbor, MI • On-site

Full-time

Re-posted 14 days ago

Job description

Job Summary:
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. The Senior Data Scientist will shape how the company evaluates AV performance, uncover system vulnerabilities, and ensure that every driving decision meets the highest standards of safety and passenger experience.
Responsibilities:
• Develop and refine safety and comfort metrics for evaluating autonomous vehicle performance across real-world and simulation data.
• Build ML and non-ML models to detect unsafe, uncomfortable, or anomalous behaviors.
• Analyze large-scale drive logs and simulation datasets to identify patterns, regressions, and system gaps.
• Collaborate with perception, prediction, behavior, and simulation teams to integrate metrics into workflows.
• Communicate insights and recommendations to engineering leaders and cross-functional teams.
Qualifications:
Required:
• B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
• 5+ years of experience in data science, applied machine learning, robotics, or autonomous systems.
• 2+ years working in AV, ADAS, robotics, or another safety-critical domain involving vehicle behavior analysis.
• Demonstrated experience developing or evaluating safety and/or comfort metrics for autonomous or robotic systems.
• Hands-on experience working with real-world driving logs and/or simulation data.
• Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark).
• Strong understanding of vehicle dynamics, kinematics, agent interactions, and road/traffic elements.
• Expertise in analyzing high-dimensional or time-series data from sensors, logs, and simulation systems.
• Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non-technical stakeholders.
• Detail-oriented with a focus on validation, testing, and error detection.
Preferred:
• Background in motion planning, behavior prediction, or multi-agent interaction modeling.
• Experience designing metric-driven development, KPIs, and automated triaging pipelines.
Company:
May Mobility is a manufacturing firm that designs and develops autonomous technology vehicles for self-driving transportation solutions. Founded in 2017, the company is headquartered in Ann Arbor, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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