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Data Annotation No Experience Needed Jobs in Rochester, MN

Data Engineer

Rochester, MN · On-site

$111K - $134K/yr

... information needs and implement those requirements using data available. The hire will be ... The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing ...

Data Engineer

Rochester, MN

$116K - $139K/yr

... information needs and implement those requirements using data available. The hire will be ... The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing ...

Data Engineer

Rochester, MN

$111K - $134K/yr

... information needs and implement those requirements using data available. The hire will be ... The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing ...

Experience with data modeling and date exploration tools. About Us Why Mayo Clinic Mayo Clinic is ... As we work together to put the needs of the patient first, we are also dedicated to our employees ...

Showing results 41-60

Data Annotation No Experience Needed information

What is data annotation?

Data annotation is the process of labeling or tagging data, such as images, text, or audio, to help train artificial intelligence and machine learning models. Many data annotation jobs require little to no prior experience, as employers often provide training on the specific tools and guidelines needed for the work. These jobs are ideal for beginners looking to enter the tech field, as they typically require attention to detail and basic computer skills. With consistent work, data annotators can build valuable experience for more advanced roles in data science and AI.

What is the difference between Data Annotation No Experience Needed vs Data Labeler?

AspectData Annotation No Experience NeededData Labeler
Required CredentialsNo prior experience or certifications typically requiredOften similar, minimal credentials needed
Work EnvironmentRemote or office-based, flexible hoursPrimarily remote, task-based work
Industry UsageCommon in AI, machine learning, and data processing companiesUsed in AI, autonomous vehicles, and tech sectors
Search & Comparison IntentPeople seeking entry-level data annotation rolesIndividuals comparing entry-level data labeling jobs

Data Annotation No Experience Needed and Data Labeler roles are similar, both requiring minimal or no prior experience. They are commonly found in AI and machine learning industries, often offering remote work. The main difference lies in terminology; 'Data Labeler' is a more specific job title within data annotation tasks. Both roles are suitable for beginners looking to start a career in data processing and AI training.

What does a typical workday look like for someone starting out in data annotation with no prior experience?

For those new to data annotation, a typical workday involves reviewing and labeling large sets of data—such as images, audio, or text—according to specific guidelines provided by the employer or client. You’ll likely work as part of a remote or distributed team, using specialized software tools to complete your tasks. While the work is often independent, you may participate in occasional team meetings or training sessions to clarify guidelines and improve accuracy. Consistency and attention to detail are crucial, and feedback from supervisors will help you refine your skills. Over time, demonstrating accuracy and reliability can open opportunities for more complex projects or advancement within the team.

What are the key skills and qualifications needed to thrive as a data annotation specialist with no prior experience?

To thrive as a Data Annotation specialist with no prior experience, attention to detail, basic computer literacy, and the ability to follow guidelines are essential. Familiarity with annotation tools or platforms (such as Labelbox or SuperAnnotate) and basic understanding of data privacy protocols are often required. Strong organizational skills, patience, and clear communication help individuals excel in repetitive tasks and collaborate with team members or project leads. These skills and qualities are critical for maintaining high data quality and ensuring annotated datasets are accurate for downstream machine learning applications.
What job categories do people searching Data Annotation No Experience Needed jobs in Rochester, MN look for? The top searched job categories for Data Annotation No Experience Needed jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Data Annotation No Experience Needed jobs? Cities near Rochester, MN with the most Data Annotation No Experience Needed job openings:

Data Engineer

Mayo Clinic

Rochester, MN • On-site

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 696 frontline employees who took The Breakroom Quiz

130th of 887 rated healthcare providers


Job description


Data Engineer gains access to data across the organization and provides ongoing analysis of the data by monitoring, profiling and analyzing databases. Requires a mix of functional, data and technical skills. The right candidate must be able to understand business requirements, translate them into information needs and implement those requirements using data available. The hire will be responsible for expanding and optimizing data architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems. The Data Engineer will support our software developers, database architects, and data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
Core job duties include:
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Strong knowledge of SQL required. Ability to identify sets and subsets of information across multiple joins or unions of tables is preferred in addition to writing and troubleshooting SQL queries for data mining
• Perform complex data analysis and investigation for customer requests to explain results and to make appropriate recommendations.
• Strong understanding of data modeling concepts
• Problem solver with the initiative to think critically to identify improvement opportunities (error detection, error correction, root cause analysis)
• Understand ETL that will aid in verification and testing of data
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Analyze business objectives and develop data solutions to meet customer needs.
• Demonstrated ability to effectively participate in multiple, concurrent projects
• Improve and customize current data solutions to meet business functional and non-functional requirements.
• Research new and existing data sources in order to contribute to new development, improve data management processes, and make recommendations for data quality initiatives.
• Perform periodic data quality reviews for internal and external data.
• Ensure timely resolution of queries and data issues.
• Look for new ways to find and collect data by researching potential new sources of information.
• Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications
Bachelor's degree in Computer Science, Engineering, or related field from an accredited University or College; OR an Associate's degree in Computer Science, Engineering, or related field from an accredited University or College with 2 years of experience. Demonstrated ability to analyze and profile data as a means to address various business problems through leveraging advanced data modeling, source system databases, or data mining techniques, is required. May provide consultative services to departments/divisions and committees. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. data analysis, data profiling, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data analysis, quality, and profiling; including data exploration tools including but not limited to Rapid SQL, AQT, Information Analyzer, and Informatics.
About Us
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

About the Team
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Mayo Clinic logo

About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919