ZipRecruiter

Log In

1

Senior Data Annotation Analyst Jobs in Michigan (NOW HIRING)

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 ...

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 ...

Optimal Inc.

Sr. Data Analyst

Superior, MI · On-site

$73K - $92K/yr

Job Titile: Sr. Data Analyst * Analyzes large datasets from connected vehicles, specifically focusing on in-car entertainment, navigation, connectivity, and user experience. The goal of the analysis ...

Optimal Inc.

Sr. Data Analyst

Ann Arbor, MI · On-site

$84K - $106K/yr

Job Titile: Sr. Data Analyst * Analyzes large datasets from connected vehicles, specifically focusing on in-car entertainment, navigation, connectivity, and user experience. The goal of the analysis ...

Zobility

Sr. Data Analyst (Automotive)

Superior Township, MI · On-site

$78K - $99K/yr

Superior Township, MI Position Type: Long Term Contract (Possible extension) Job Title: 26-00984 - Sr. Data Analyst Responsibilities: * Analyzes large datasets from connected vehicles, specifically ...

ZF

Sr. Data Analyst-Materials Management

Farmington Hills, MI · On-site

$84K - $106K/yr

What you can look forward to as Senior Data Analyst- Materials Management: * Lead data analysis using Microsoft Access, Excel, and other tools to support corporate initiatives and datadriven decision ...

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 ...

Zobility

Sr. Data Analyst

Superior Township, MI · On-site

$47.58 - $50.34/hr

Analytics & Insight Generation: Analyze user interaction data from in-car infotainment systems (eg: touch screen usage, voice command effectiveness, media consumption) to identify trends and ...

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 ...

GM Financial

Sr Data Scientist

Detroit, MI · On-site

Lead in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. The Senior Data Scientist is the subject matter expert with an ...

next page

Showing results 1-20

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

Senior Data Annotation Analyst information

Is it difficult to get a job at data annotation?

Securing a position as a Senior Data Annotation Analyst typically requires attention to detail, familiarity with annotation tools, and basic understanding of data labeling processes. While some roles may require prior experience or specific skills, entry-level positions are often accessible with relevant training or certifications. The difficulty varies depending on the company's requirements and the competitiveness of the job market.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are considered modest compared to other tech roles, with pay often ranging from minimum wage to around $15-$20 per hour depending on experience and location. While some companies offer bonuses or flexible schedules, overall compensation for entry-level data annotation positions is generally lower than more specialized data science or engineering roles.

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 does a data annotation analyst do?

A data annotation analyst labels and categorizes data such as images, text, or videos to help train machine learning models. They use tools and guidelines to ensure data is accurately annotated, which is essential for developing reliable AI systems. Attention to detail and understanding of data formats are important in this role.

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 is the highest salary for data annotator?

The highest salary for a senior data annotation analyst can reach around $70,000 to $90,000 annually, depending on experience, location, and the complexity of annotation tasks. Advanced roles with specialized skills or certifications may offer higher compensation, especially in competitive tech markets.
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

Senior Robotics Data Collection Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99K - $135K/yr

Contractor

Posted 27 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.