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Entry Level Data Annotation Tech Jobs in Minneapolis, MN

AdvancedPCB

Entry Level Machine Operator

Maple Grove, MN · On-site

$20 - $22/hr

... technology marketplace. AdvancedPCB offers individuals the opportunity to utilize their skills to ... This position requires access to controlled technical data and/or participation in activities ...

AdvancedPCB

Entry Level Machine Operator

Maple Grove, MN · On-site

$20 - $22/hr

... technology marketplace. AdvancedPCB offers individuals the opportunity to utilize their skills to ... This position requires access to controlled technical data and/or participation in activities ...

AdvancedPCB

Entry Level Machine Operator

Osseo, MN · On-site

$20 - $22/hr

... technology marketplace. AdvancedPCB offers individuals the opportunity to utilize their skills to ... This position requires access to controlled technical data and/or participation in activities ...

Pwc

US Tech - FTO Senior Associate

Minneapolis, MN · On-site

$55K - $187K/yr

Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Aerotek

Entry Level Assembly

Chanhassen, MN

$18/hr

Do you enjoy working with technology, building products, and staying hands-on throughout your day ... Basic computer and data-entry skills. * Experience using hand tools and light power tools. * Strong ...

Mercy

Supply Chain Technician

Anoka, MN

It is an entry level position. Mercy Hospital St. Louis | Full-Time Position Overview Mercy ... Technology & Compliance * Accurately perform data entry and inventory transactions within supply ...

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Entry Level Data Annotation Tech information

See Minneapolis, MN salary details

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How much do entry level data annotation tech jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for entry level data annotation tech in Minneapolis, MN is $20.18, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.31 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Annotation Tech vs Entry Level Data Labeler?

AspectEntry Level Data Annotation TechEntry Level Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech-focusedRemote or on-site, tech-focused
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, autonomous vehicles

Both roles involve labeling data for AI training, requiring similar skills and environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes the technical aspect of annotation, while 'Data Labeler' is a more general term. Both are entry-level positions vital for AI development in tech industries.

What are some common challenges faced by entry level data annotation techs, and how can they be managed?

Entry Level Data Annotation Techs often encounter challenges like maintaining focus during repetitive tasks, ensuring accuracy under tight deadlines, and adapting to evolving annotation guidelines. To manage these, it's helpful to take regular breaks, double-check your work, and actively seek feedback from supervisors. Collaborating with teammates and participating in training sessions can also improve both speed and consistency, making the work more manageable and rewarding.

What is an entry level data annotation tech?

An Entry Level Data Annotation Tech is responsible for labeling and categorizing data, such as images, text, or audio, to help train machine learning models. This role typically involves using specialized software to accurately tag and classify data according to specific guidelines. It is a foundational position within the field of artificial intelligence and data science, requiring attention to detail and consistency. No advanced technical skills are usually required, making it a suitable entry point for those interested in AI or data-related careers.

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

To thrive as an Entry Level Data Annotation Tech, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation software, data labeling platforms, and basic spreadsheet tools is typically required. Patience, consistency, and effective communication help ensure accuracy and efficient teamwork. These skills and qualities are essential for delivering high-quality labeled data that supports machine learning and AI development.
What are the most commonly searched types of Data Annotation Tech jobs in Minneapolis, MN? The most popular types of Data Annotation Tech jobs in Minneapolis, MN are:
What are popular job titles related to Entry Level Data Annotation Tech jobs in Minneapolis, MN? For Entry Level Data Annotation Tech jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Annotation Tech jobs in Minneapolis, MN look for? The top searched job categories for Entry Level Data Annotation Tech jobs in Minneapolis, MN are:
Entry Level Data Annotation Tech jobs near you
Infographic showing various Entry Level Data Annotation Tech job openings in Minneapolis, MN as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,982 per year, or $20.2 per hour.

Data Analyst/Python Programmer - Remote

SynergisticIT

Minneapolis, MN • On-site

Other

Posted 4 days ago

Job description

Entry-Level Data Analyst — Start Your Career in Data With Practical Skills Data analyst roles are attractive because they sit at the intersection of business, technology, and decision-making. But entry-level data roles are also competitive. Employers want candidates who can write SQL queries, clean data, build dashboards, understand business metrics, and communicate insights clearly. A degree or certificate may help, but it is often not enough by itself. SynergisticIT is looking for candidates interested in data analytics, SQL, Python, Excel, Power BI, Tableau, business reporting, data visualization, and dashboard development. This role is well-suited for recent graduates, career changers, and candidates who enjoy solving problems with data. Since 2010, Synergisticit has 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 for aspiring data analysts because it focuses on job readiness, not just learning tools. Candidates can strengthen their technical stack, build portfolio-style projects, improve resume keywords, and prepare for interviews where they may need to explain SQL logic, dashboards, data-cleaning decisions, and business impact. If you are ready to turn your interest in data into a career path, 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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