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Entrylevel Ai Data Labeling Jobs in Michigan (NOW HIRING)

Tech Consulting

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Machine Learning Engineer

Michiana, MI · On-site

$30 - $40/hr

... Entry-Level AI/Machine Learning Engineer to join our team. The ideal candidate has a strong foundation in Python, machine learning, data analysis, and AI concepts, with a willingness to learn and ...

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Saransh Inc

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

... AI. · Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation. · Experience with data labeling tools and annotation workflows at scale. · Hands-on knowledge ...

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Entrylevel Ai Data Labeling information

What is the difference between Entrylevel Ai Data Labeling vs Data Annotation Specialist?

AspectEntrylevel Ai Data LabelingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; basic skills, sometimes certifications in data management
Work EnvironmentRemote or on-site, repetitive tasksRemote or on-site, similar repetitive tasks
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, healthcare, automotive industries

Both roles involve labeling data for AI training, often requiring similar skills and work environments. The main difference lies in terminology; 'Data Annotation Specialist' may imply a broader scope or more specialized tasks, but both are entry-level roles focused on preparing data for machine learning models.

What are popular job titles related to Entrylevel Ai Data Labeling jobs in Michigan? For Entrylevel Ai Data Labeling jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Entrylevel Ai Data Labeling jobs in Michigan look for? The top searched job categories for Entrylevel Ai Data Labeling jobs in Michigan are:
What cities in Michigan are hiring for Entrylevel Ai Data Labeling jobs? Cities in Michigan with the most Entrylevel Ai Data Labeling job openings:
Entrylevel Ai Data Labeling jobs near you
Infographic showing various Entrylevel Ai Data Labeling job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer

Tech Consulting

Michiana, MI • On-site

$30 - $40/hr

Full-time

Medical, Dental, PTO

Posted yesterday

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Job description

Entry-Level AI / Machine Learning Engineer

Full-Time

Candidate must be open to relocate


Job Summary

We are looking for an enthusiastic and motivated Entry-Level AI/Machine Learning Engineer to join our team. The ideal candidate has a strong foundation in Python, machine learning, data analysis, and AI concepts, with a willingness to learn and work on real-world projects.


Key Responsibilities

  • Develop, train, and evaluate machine learning models.
  • Clean, preprocess, and analyze structured and unstructured datasets.
  • Implement supervised and unsupervised machine learning algorithms.
  • Assist in developing AI solutions using Python and popular ML libraries.
  • Perform model testing, optimization, and performance evaluation.
  • Work with senior engineers and data scientists to solve technical problems.
  • Create data visualizations and reports to communicate model results.
  • Research emerging AI and machine learning techniques.
  • Document code, experiments, and project findings.
  • Assist with deploying machine learning models into production environments.


Required Skills

  • Basic knowledge of Python and programming fundamentals.
  • Understanding of machine learning concepts and algorithms.
  • Familiarity with NumPy, Pandas, Scikit-learn, and data visualization tools.
  • Basic understanding of statistics and probability.
  • Familiarity with SQL and databases.
  • Understanding of model evaluation metrics such as accuracy, precision, recall, and F1-score.
  • Knowledge of Git/GitHub.
  • Strong problem-solving and analytical skills.


Good to Have

  • Exposure to TensorFlow or PyTorch.
  • Basic knowledge of deep learning and neural networks.
  • Familiarity with NLP, computer vision, or generative AI.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Academic, personal, internship, or GitHub projects involving AI/ML.


Education

Bachelor's degree or equivalent coursework in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field.

Recent graduates and candidates with relevant projects are encouraged to apply.


Experience Level

1-4 years of experience.

Internship, academic, and personal AI/ML projects are considered relevant experience.


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