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Full Time Machine Learning Data Annotation Jobs in Detroit, MI

FastTek

Machine Learning Engineer

Dearborn, MI

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

... data-driven decision-making. The Role Mariana Minerals is building the critical minerals supply ... As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ...

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Machine Learning Engineer #1054987 * Employees in this job function are responsible for designing ... GCP, Big Data, Artificial Intelligence & Expert Systems, API * GCP - Experience deploying and ...

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All JobsMachine Learning Data Annotation JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Detroit, MI

Full Time Machine Learning Data Annotation information

See Detroit, MI salary details

$37.1K

$121.5K

$194.5K

How much do full time machine learning data annotation jobs pay per year?

As of Jul 22, 2026, the average yearly pay for full time machine learning data annotation in Detroit, MI is $121,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $134,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Machine Learning Data Annotation Specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What are Full Time Machine Learning Data Annotation jobs?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Detroit, MI? For Full Time Machine Learning Data Annotation jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Data Annotation jobs in Detroit, MI look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in Detroit, MI are:
Full Time Machine Learning Data Annotation jobs near you
Infographic showing various Full Time Machine Learning Data Annotation job openings in Detroit, MI as of July 2026, with employment types broken down into 19% Full Time, 7% Part Time, 68% Contract, and 6% Nights. Highlights an 4% Physical, and 96% Remote job distribution, with an average salary of $121,507 per year, or $58.4 per hour.
Data Science & Machine Learning Specialist

Data Science & Machine Learning Specialist

HTC Global Services

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Job Title
Data Science & Machine Learning Specialist
Overview
We are seeking an experienced Data Science & Machine Learning Specialist to develop predictive models, analyze complex datasets, and generate actionable business insights. The ideal candidate will apply advanced analytics, machine learning, and statistical modeling techniques to support data-driven decision-making while collaborating with cross-functional teams.
Key Responsibilities
  • Analyze business requirements and datasets to identify appropriate analytical approaches.
  • Design, develop, and implement machine learning models, algorithms, and experiments.
  • Apply data mining, predictive modeling, prescriptive analytics, statistics, and advanced analytical techniques to uncover trends and patterns.
  • Design efficient data loading, augmentation, and analysis processes to improve model accuracy, scalability, and robustness.
  • Conduct statistical modeling and predictive analytics to generate business insights.
  • Perform exploratory and deep-dive analyses on large structured and unstructured datasets.
  • Develop dashboards and visualizations using Power BI to communicate analytical findings.
  • Collaborate with architects, project managers, data engineers, software engineers, and data scientists to validate data pipelines and analytical outputs.
  • Present analytical findings and recommendations to technical and non-technical stakeholders.
  • Stay current with advancements in data science, machine learning, and analytics methodologies to continuously improve analytical capabilities.

Required Qualifications
  • Master's degree in a relevant field.
  • Minimum 5 years of experience in Data Science, Machine Learning, or a related field.
  • Experience with:
    • Data Science
    • Machine Learning
    • Data Analysis
    • Data Mining
    • Algorithms
    • Analytics and Reporting Dashboards
  • Strong knowledge of statistical modeling, predictive analytics, and advanced analytical techniques.
  • Experience working with large structured and unstructured datasets.
  • Experience creating data visualizations using Power BI.
  • Ability to communicate analytical results effectively to cross-functional teams and business stakeholders.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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