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Day Data Annotation Jobs in Minnesota (NOW HIRING)

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Day Data Annotation information

What are the key skills and qualifications needed to thrive as a day data annotation specialist?

To excel as a Day Data Annotation Specialist, you need strong attention to detail, data entry accuracy, and a solid understanding of the subject matter being annotated, often supported by a high school diploma or relevant experience. Familiarity with annotation tools, spreadsheets, and data management software is typically required. Excellent concentration, time management, and clear communication skills help professionals stand out in this role. These abilities are crucial to ensure high-quality, consistent data labeling that directly impacts the performance of machine learning models and downstream business applications.

What is a day data annotation job?

Day Data Annotation jobs involve reviewing and tagging data, such as images, text, audio, or video, during regular daytime hours. Annotators help prepare datasets for machine learning and artificial intelligence by labeling or categorizing information according to specific guidelines. This work is essential for training algorithms to recognize patterns, objects, or language. Day Data Annotation can be done remotely or in-office, and it often requires attention to detail and good communication skills.

What is the difference between Day Data Annotation vs Data Labeler?

AspectDay Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, collaborative teamsRemote or on-site, independent work
Industry UsageAI/ML companies, tech firmsAI/ML, data processing companies
Job FocusAnnotating data for machine learning modelsLabeling data to train AI systems

Day Data Annotation and Data Labeler roles are similar, focusing on preparing data for AI. Day Data Annotation often involves more detailed annotation tasks, while Data Labelers may perform broader labeling activities. Both roles require basic technical skills and are vital in AI development across tech industries.

What are some common challenges faced by day data annotation specialists and how can they be addressed?

Day Data Annotation specialists often encounter challenges such as maintaining high accuracy while handling repetitive tasks, interpreting ambiguous data, and meeting tight deadlines. To address these, it's important to develop strong attention to detail, use project guidelines as references, and communicate with team leads or peers when uncertainties arise. Many organizations also provide regular feedback and quality assurance checks, which help annotators improve their performance and consistency over time.
What are the most commonly searched types of Data Annotation jobs in Minnesota? The most popular types of Data Annotation jobs in Minnesota are:
Day Data Annotation jobs near you

Data Scientist - Medical Imaging (Plymouth, MN)

Philips

Plymouth, MN • On-site

$120K - $192K/yr

Full-time

Retirement, PTO

Posted 11 days ago

Philips rating

8.3

Company rating: 8.3 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

36th of 156 rated electronics manufacturers

Job description

Job Title
Data Scientist - Medical Imaging (Plymouth, MN)
Job Description
We are seeking Data Scientist to join our AI/ML Software development team in developing state-of-the-art medical devices with a focus on medical image processing. As a Data Scientist, you will manage the oversight, governance, and quality control of medical imaging data used in developing and validating AI-driven models.
Your role:
  • Design and develop machine learning models and algorithms to provide recommendations or support clinical decisions. Conduct model training, evaluation, and tuning for optimal results.
  • Build and evaluate models, perform statistical analyses, and provide insights, particularly in imaging data. Use advanced analytics and machine learning techniques to identify patterns and trends.
  • Gather, process, and verify the quality, consistency, and reliability of raw data from various sources. Identify and address data-related problems, such as data drift or incorrect preprocessing.
  • Collaborate with stakeholders to translate business requirements into data science projects. Communicate findings and offers data-driven recommendations to stakeholders.
  • Validate models through statistical tests and cross-validation to ensure generalizability. Document data sources, cleaning processes, and detailed descriptions of models, including assumptions, parameters, and performance metrics.

You're the right fit if:
  • You have a Master's degree (Ph.D. preferred) in Data Science, Information Systems, Health Informatics, Biomedical Engineering, or a related field. A background in Medical Imaging or Healthcare Data and knowledge of privacy regulations, including HIPAA, GDPR, and medical device compliance (ISO 13485, FDA guidelines).
  • You've acquired 3+ years of professional experience, beyond education, as data scientist in a healthcare, life sciences, or medical device environment.
  • Your skills include a strong understanding of medical imaging standards and formats (e.g., DICOM, NIfTI) and familiarity with data management tools specific to imaging (e.g., PACS, cloud-based storage for imaging data). Experience in managing medical imaging databases and understanding of how imaging data is used in AI/ML model development is important.
  • You're proficient in Python and data management tools for organizing, storing, and maintaining imaging datasets, such as SQL, NoSQL, or specialized medical data storage systems. Familiarity with data labeling platforms and tools for managing annotation processes (e.g., Labelbox, Supervisely).
  • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.

How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers' or suppliers' locations.
This is an office role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.
  • Learn more about our business.
  • Discover our rich and exciting history.
  • Learn more about our purpose.
  • Learn more about our culture.

Philips Transparency Details
The pay range for this position in Plymouth, MN is $120,487.00 to $192,780.00.
The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.
In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. Details about our benefits can be found here.
At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.
Additional Information
US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.
Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Plymouth, MN.
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This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.
Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.

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