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Contract Data Annotation Jobs in Minnesota (NOW HIRING)

Contract Data Annotation information

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

AspectContract Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, task-based
Industry UsageAI/ML training, tech companiesAI/ML training, tech companies
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI algorithms

Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.

What is a contract data annotation?

A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.

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

To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.

What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?

Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.
What are the most commonly searched types of Data Annotation jobs in Minnesota? The most popular types of Data Annotation jobs in Minnesota are:
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What job categories do people searching Contract Data Annotation jobs in Minnesota look for? The top searched job categories for Contract Data Annotation jobs in Minnesota are:
What cities in Minnesota are hiring for Contract Data Annotation jobs? Cities in Minnesota with the most Contract Data Annotation job openings:

Senior Data Quality & Active Learning AI Engineer

Philips

Plymouth, MN

$157K - $249K/yr

Full-time

Retirement, PTO

Posted 10 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 TitleSenior Data Quality & Active Learning AI EngineerJob 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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