3

Remote Entry Level Data Annotation Jobs in Minnesota

Position: Entry-Level Manager - Leadership Development Track (Remote) If you're driven, coachable ... data and help your team strategize for success Organize and lead virtual training and onboarding ...

... required * Entry-level candidates or individuals with up to 3 years of related experience are ... station, data collectors) preferred but not required * Experience operating remote sensing ...

... required * Entry-level candidates or individuals with up to 3 years of related experience are ... station, data collectors) preferred but not required * Experience operating remote sensing ...

... required * Entry-level candidates or individuals with up to 3 years of related experience are ... station, data collectors) preferred but not required * Experience operating remote sensing ...

Verifications Specialist

Minneapolis, MN Β· On-site +1

$19 - $20/hr

... data, this is for you! This is an entry-level, hourly role with an open runway for growth. Our ... This role is posted as a remote position, but if the selected candidate prefers, they may work from ...

Remote Entry Level Data Annotation information

What is a remote entry level data annotation?

A Remote Entry Level Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video from a remote location. These roles are crucial for training machine learning algorithms, as annotated data helps improve the accuracy of artificial intelligence models. Entry-level positions typically require attention to detail and basic computer skills but do not usually require prior experience or specialized knowledge. Working remotely allows you to perform these tasks from home or any location with internet access.

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

To thrive as a Remote Entry Level Data Annotation specialist, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes basic spreadsheet software is typically required. Effective time management, communication, and the ability to follow precise instructions help candidates excel in this role. These skills ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.

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

Remote entry-level data annotators often encounter challenges related to maintaining focus and productivity while working independently, as well as ensuring consistency and accuracy in their annotations. To manage these challenges, it's helpful to establish a clear daily routine, set up a dedicated workspace, and actively communicate with team leads or supervisors for guidance. Utilizing collaboration tools and regularly reviewing project guidelines can also help maintain annotation quality and keep workflow on track.

What is the difference between Remote Entry Level Data Annotation vs Remote Data Labeling Specialist?

AspectRemote Entry Level Data AnnotationRemote Data Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certifications required
Work EnvironmentRemote, flexible hoursRemote, often part-time or freelance
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech firms
Search IntentEntry-level data annotation jobsData labeling roles for AI projects

Remote Entry Level Data Annotation and Remote Data Labeling Specialist roles are similar in credentials and work environment, both serving AI and machine learning industries. The main difference lies in terminology used by employers and job seekers, with 'Data Labeling Specialist' often emphasizing more specialized tasks. Both roles are suitable for individuals seeking remote, entry-level positions in data preparation for AI applications.

What are popular job titles related to Remote Entry Level Data Annotation jobs in Minnesota?

For Remote Entry Level Data Annotation jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Entry Level Data Annotation jobs in Minnesota look for?

The top searched job categories for Remote Entry Level Data Annotation jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Entry Level Data Annotation jobs?

Cities in Minnesota with the most Remote Entry Level Data Annotation job openings:

Infographic showing various Remote Entry Level Data Annotation job openings in Minnesota as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Junior Data Scientist/AI Engineer - Junior (Remote)

Saint Paul, MN β€’ On-site, Remote

SynergisticIT
IT ServicesΒ β€’Β 11 - 50 employees

$82K - $136K/yr

Full-time

This job post hasΒ expired today.Β Applications are no longer accepted.


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, Intel, Paypal, JPMC, Wayfair, BOA, CITI 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
Discover 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.


SynergisticIT logo

About SynergisticIT

Sourced by ZipRecruiter

SynergisticIT is a reputable company based in Fremont, California, United States, operating within the prestigious technology industry. The company primarily focuses on tech staffing and IT services, taking pride in mastering the art of procuring the top talents in the industry to meet the diverse needs of its clients. While a testament to its long-standing commitment to excellent service, SynergisticIT was established in 2010, confirming its vast wealth of experience in addressing various tech-related challenges over the years. Their mission revolves around a singular operative phrase: β€œUnderstanding follows knowledge”. In line with this, they continually strive to garner more knowledge and understanding about the needs of their clients, thereby providing more personalized and effective solutions.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2010