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Senior Data Annotation Analyst Jobs in Michigan (NOW HIRING)

Niowave Inc.

Senior Data Analyst

Lansing, MI · On-site

$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 ...

Hyundai Motor Company

Sr. Data Analyst

Ypsilanti, MI

$77K - $98K/yr

Sr. Data Analyst Hyundai America Technical Center, Inc. (HATCI) is looking for a Senior Engineer to join the Infotainment Software Department, which undertakes various innovation projects related to ...

Allegis Global Solutions

Senior Data Analyst

Troy, MI · On-site

$81K - $102K/yr

The Sr. Data Analyst is responsible for supporting the QuantumWork Advisory in implementation projects, defining data strategies and governance framework. Lead complex data migration and ...

QuantumWork Advisory

Senior Data Analyst

Troy, MI

$81K - $102K/yr

The Sr. Data Analyst is responsible for supporting the QuantumWork Advisory in implementation projects, defining data strategies and governance framework. Lead complex data migration and ...

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the design, development, and implementation of cutting-edge machine learning models and algorithms to ...

Sprinklr

Senior Data Scientist

Three Rivers, MI · On-site

The Sr. Data Scientist wilil play an important role in this strategic initiative. This person will ... Use analytical rigor and statistical methods to analyze large amounts of data, extracting ...

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 ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

The Senior Data Scientist on the Credit AI team at Ford Credit will lead the development and ... The ideal candidate combines deep analytical and technical expertise with strong business acumen ...

DPDHL

Sr Business Data Analyst

Livonia, MI · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000. DHL Supply Chain ...

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 ...

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Senior Data Annotation Analyst information

What are Senior Data Annotation Analysts?

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, and why are they important?

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.

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 Senior Data Annotation Analyst jobs in Michigan? For Senior Data Annotation Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Senior Data Annotation Analyst jobs in Michigan look for? The top searched job categories for Senior 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 June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

Senior Robotics Data Collection Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99K - $135K/yr

Contractor

Posted 6 days ago

Job description

Role: Senior Robotics Data Collection Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotics Data Collection Engineer (MLE, Python, Cloud exp, Linux)
 
Key Responsibilities:
· Collect high-quality robot telemetry, sensor, and visual data from manufacturing robotic systems in lab and production-like environments.
· Operate and monitor robotic systems, GELLO teleop interfaces, and data collection hardware.
· Organize, label, and validate data according to established annotation guidelines and quality standards.
· Perform manual annotation and verification when necessary to generate high-quality ground truth labels.
· Execute data collection campaigns following documented protocols and experimental designs.
· Troubleshoot data collection issues and document problems for engineering teams.
· Collaborate with AI engineers, robotics engineers, and manufacturing teams to ensure data meets model training requirements.
 
Required Qualifications:
· College or bachelor’s degree in engineering (Mechanical Engineering or Electrical Engineering preferred).
· Attention to detail and ability to follow technical procedures and documentation.
· Strong, demonstrated hands-on experience operating, troubleshooting, and maintaining industrial or collaborative robotic arms.
· Proficiency in Linux environments and basic scripting (e.g., Python) to interface with robotic systems and manage data pipelines.
· Proven experience working directly with perception sensors and hardware, with a solid understanding of capturing and validating high-quality sensor data.
 
Preferred Qualifications:
· Experience with robotics, manufacturing, or data collection.
· Familiarity with Python, Linux, or data tools (beneficial but not required).
· Experience operating or troubleshooting technical equipment.
· Basic understanding of machine learning, AI, or data annotation concepts.
· Experience in automotive or manufacturing environments.