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Data Annotation information

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How much do data annotation jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data annotation in Plymouth, MN is $25.51, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $30.38 per hour, depending on experience, location, and employer.

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What are the most commonly searched types of Data Annotation jobs in Plymouth, MN?

The most popular types of Data Annotation jobs in Plymouth, MN are:

What job categories do people searching Data Annotation jobs in Plymouth, MN look for?

The top searched job categories for Data Annotation jobs in Plymouth, MN are:

What cities near Plymouth, MN are hiring for Data Annotation jobs?

Cities near Plymouth, MN with the most Data Annotation job openings:

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Plymouth, MN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $53,068 per year, or $25.5 per hour.

Senior Data Quality & Active Learning AI Engineer

Philips

Plymouth, MN • On-site

$157K - $249K/yr

Full-time

Retirement, PTO

Posted 24 days ago

Philips rating

8.3

Company rating: 8.3 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

37th of 159 rated electronics manufacturers

Job description

Job Title
Senior Data Quality & Active Learning AI Engineer
Job Description
Senior Data Quality & Active Learning AI Engineer
Build compliant, audit-ready medical imaging datasets and active learning systems that accelerate the development of artificial intelligence (AI) and data-intensive software for Philips products.
Your role:
  • Own the design and operation of compliant data-quality and active-learning pipelines for multimodal clinical data, primarily medical images and metadata, on cloud infrastructure. Establish data contracts, de-identification workflows, validation and release gates, dataset versioning, readiness metrics, and traceable documentation so data are audit-ready and fit for model and software development.
  • Join the growing Data and AI Platforms team within the Software and AI organization in research and development, working closely with other data and AI engineers, medical informaticians, architects, data stewards, clinical partners, privacy experts, and external annotation teams. Partner with algorithm, AI, and software developers who use these data to create AI-enabled and non-AI software that becomes part of Philips products.
  • Build active-learning loops that prioritize labeling, measure label quality and coverage, and accelerate safe dataset improvement; collaborate on preprocessing, augmentation, feature extraction, embeddings, and handoff to the data platform. You will help shape modern data and AI engineering practices while growing your expertise in regulated medical-device development, cloud platforms, synthetic and simulated data, and AI-assisted and agentic engineering workflows.

You're the right fit if:
  • You've acquired 5+ years of relevant individual-contributor experience in data quality, data engineering, or machine learning data pipelines, ideally in healthcare and with medical imaging data. You have a bachelor's degree in engineering, computer science, biomedical or health informatics, data science, mathematics, statistics, or a related field; a master's degree with 3+ years of relevant experience or a doctorate with relevant experience is also acceptable.
  • Your skills include Python and Structured Query Language (SQL) for data extraction, transformation, validation, and automation, plus experience building scalable, event-driven and batch-oriented data pipelines in Amazon Web Services (AWS) using distributed processing frameworks such as Apache Spark or Ray. You can design workflows that trigger when new imaging or metadata becomes available and apply data-quality checks, lineage, dataset versioning, and release gates.
  • You have hands-on experience with Digital Imaging and Communications in Medicine (DICOM) and Picture Archiving and Communication System (PACS) concepts, 2D/3D imaging volumes, de-identification, and protected health information (PHI) handling. You understand the Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR), privacy by design, and audit-ready documentation under medical-device design controls; Health Level Seven (HL7) and Fast Healthcare Interoperability Resources (FHIR) familiarity is a plus.
  • You bring active-learning expertise, including uncertainty, diversity, and error-based sampling, label-quality measurement, coverage analysis, and bias/drift assessment. Proficiency with AI-assisted engineering tools such as OpenAI Codex and Claude Code, plus agentic AI workflows, is expected; familiarity with PyTorch or TensorFlow and graphics processing unit (GPU)-accelerated preprocessing, and experience creating, validating, or assessing synthetic or simulated data, are pluses.
  • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position. You're a clear, collaborative communicator who surfaces risks, resolves blockers, shares progress and knowledge gaps, and works effectively with globally distributed technical, clinical, governance, and software stakeholders.

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. This is an office role based in Plymouth, Minnesota or Bedford, Massachusetts.
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 Bedford, MA is $157,000 to $249,000
The pay range for this position in Plymouth, MN is $147,000 to $234,000
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
Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Plymouth, Minnesota or Bedford, Massachusetts.
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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