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Entry Level Data Labeling Analyst Jobs in Novi, MI

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

The Data Analyst / Front‑End App Developer is responsible for designing, building, and ... Self-motivated, resourceful, and organized in managing complex work Employment Type Entry Level ...

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Entry Level Data Labeling Analyst information

See Novi, MI salary details

$12

$30

$57

How much do entry level data labeling analyst jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for entry level data labeling analyst in Novi, MI is $30.89, according to ZipRecruiter salary data. Most workers in this role earn between $19.86 and $34.52 per hour, depending on experience, location, and employer.

What does an entry level data labeling analyst do?

As an Entry Level Data Labeling Analyst, your daily tasks will often include reviewing and categorizing images, text, audio, or video datasets according to specific guidelines. You will use specialized software tools to tag or annotate data, ensuring accuracy and consistency to help train machine learning models. Your attention to detail directly impacts the quality of AI systems, making your work essential for the success of data-driven projects. Collaboration with team leads and engineers is common, as they may provide feedback or clarify labeling requirements.

What are the key skills and qualifications needed to thrive as an entry level data labeling analyst?

To thrive as an Entry Level Data Labeling Analyst, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with data labeling platforms, spreadsheets, and annotation tools such as Labelbox or Supervisely is often required. Diligence, consistency, and the ability to follow instructions precisely are standout soft skills in this role. These competencies ensure the accurate and efficient preparation of high-quality labeled data, which is crucial for training reliable machine learning models.

What is an entry level data labeling analyst?

Entry Level Data Labeling Analysts are professionals who tag, categorize, or annotate data such as images, text, audio, or video to help train machine learning models. Their work is crucial in ensuring that artificial intelligence systems receive accurate and well-organized information for learning and prediction tasks. Typically, these analysts use specialized software tools to label data based on guidelines provided by data scientists or project leads. This role often requires attention to detail, consistency, and the ability to follow instructions closely. Entry level positions typically do not require advanced technical skills, making it a common starting point for those interested in AI and data science fields.
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Entry Level Data Labeling Analyst jobs near you

Software Engineer - Entry Level (Java/Data Science)

SynergisticIT

Ann Arbor, MI • On-site

$50.75 - $69.50/hr

Other

Posted 23 days ago

Job description

Entry-Level Data Scientist / Java Developer — Choose a Path With Support If you are applying everywhere but not getting responses, it may be time to stop guessing and start building a structured plan. Many candidates are interested in both software and data careers but do not know which path fits their strengths or how to present themselves to employers. SynergisticIT is considering candidates for entry-level Java developer, Python developer, software programmer, data analyst, data engineer, data scientist, and ML/AI programmer paths. This opportunity is ideal for candidates who want guidance, stronger skills, better projects, and a more focused job-search strategy. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good because it helps candidates close the gap between coursework and hiring expectations. Whether your direction is Java, full stack, DevOps, analytics, data science, or AI, the program helps emphasize practical skills, project work, resume preparation, interview readiness, and job-market execution. Choose a career path with structure and support—contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

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