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Flexible Amazon Data Annotation Jobs in Wisconsin

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... of Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... of Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including ...

WI · On-site

$100 - $130/hr

The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon ... Along with excellent health insurance, we offer flexible time off, learning & development ...

New

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... of Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including ...

... Amazon, and other planning, buying, trafficking, or reporting tools as needed. * Conduct quality ... Help identify and document data issues, missing information, broken links, tracking errors, or ...

Showing results 21-40

Flexible Amazon Data Annotation information

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

To thrive as a Flexible Amazon Data Annotation Specialist, you need strong attention to detail, analytical skills, and the ability to accurately label and categorize data, often supported by at least a high school diploma or equivalent. Familiarity with Amazon's proprietary annotation platforms, basic data management tools, and sometimes workflow tracking systems is typically required. Excellent communication, time management, and the ability to work independently make someone stand out in this position. These skills ensure high-quality, consistent data labeling, which is crucial for training reliable machine learning models and supporting Amazon’s AI-driven products.

What are some common challenges faced in a flexible Amazon data annotation role, and how can I prepare for them?

In a Flexible Amazon Data Annotation role, one common challenge is maintaining high accuracy while working with large volumes of data, often under tight deadlines. Adapting to evolving project guidelines and learning to use proprietary annotation tools efficiently are also typical hurdles. To prepare, familiarize yourself with data labeling best practices, develop strong attention to detail, and practice time management to ensure consistent productivity. Being proactive in seeking clarification when guidelines change and participating in any available training can also help you excel in the role.

How much do flexible Amazon data annotation jobs pay?

Flexible Amazon data annotation jobs typically pay between $10 and $15 per hour, depending on the complexity of the tasks and the platform used. Pay rates can vary based on experience, the specific project, and whether the work is freelance or through a staffing agency.

What is a flexible Amazon data annotation?

A Flexible Amazon Data Annotation job involves labeling, categorizing, or identifying data (such as text, images, or videos) to help train artificial intelligence and machine learning models used by Amazon. Workers perform these tasks remotely and can often choose their own hours, making the job flexible and suitable for people seeking part-time or supplemental work. The tasks may include tagging products, categorizing content, or transcribing information, depending on the project requirements. Attention to detail and accuracy are important, as annotated data directly impacts the performance of Amazon's AI systems.

What is the difference between Flexible Amazon Data Annotation vs Data Labeler?

AspectFlexible Amazon Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAmazon and e-commerce platformsVarious industries including e-commerce, AI training
Job FocusAnnotating data for Amazon AI modelsLabeling data for machine learning models

Flexible Amazon Data Annotation involves annotating data specifically for Amazon's AI systems, often requiring familiarity with Amazon's platform. Data Labelers perform similar tasks across multiple industries, focusing on preparing data for machine learning. Both roles are remote, entry-level, and involve data annotation, but Flexible Amazon Data Annotation is more specialized for Amazon's ecosystem.

What are the most commonly searched types of Amazon Data Annotation jobs in Wisconsin? The most popular types of Amazon Data Annotation jobs in Wisconsin are:
What are popular job titles related to Flexible Amazon Data Annotation jobs in Wisconsin? For Flexible Amazon Data Annotation jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Flexible Amazon Data Annotation jobs in Wisconsin look for? The top searched job categories for Flexible Amazon Data Annotation jobs in Wisconsin are:
What cities in Wisconsin are hiring for Flexible Amazon Data Annotation jobs? Cities in Wisconsin with the most Flexible Amazon Data Annotation job openings:

Postdoctoral Researcher - Data Science Institute

Medical College of Wisconsin

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


Medical College Of Wisconsin rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

257th of 616 rated colleges and universities


Job description

Summary
According to the National Institute of Health (NIH) and the National Science Foundation (NSF), a postdoc is an individual who has received a doctoral degree (or equivalent) and is engaged in a temporary and defined period of mentored advanced research training to enhance the professional skills and research independence needed to pursue his or her chosen career path. In addition, according to the National Postdoc Association (NPA), Postdoctoral appointees can pursue basic, clinical or translational projects so long as their primary effort is devoted toward their own scholarship. Postdocs are essential to the scholarly mission of the mentor and host institution, and thus are expected to have the freedom to publish the results of their scholarship.
The Hogan Lab in the Data Science Institute is seeking a post-doctoral researcher for work in ontology, semantic web, and referent tracking. The incumbent will gain experience managing existing, as well as starting new, ontologies and using them in various annotation and data management applications.
A key project is the Advancing Prevention Research in Cancer through Ontology Tools (APRICOT) Project funded by the US National Institutes of Health, working with behavioral scientists and ontologists across three other European sites. This project is developing ontologies and associated tools and resources to be used in reporting behavior research. This position will work on the development of the Ontology for Modeling and Representation of Social Entities (OMRSE) and its interoperability with the Behaviour Change Intervention Ontology (BCIO).
Primary Responsibilities
  • Contribute to the development of the Ontology for Modeling and Representation of Social Entities (OMRSE); manage the issue tracker; create periodic releases; lead development meetings.
  • APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.
  • Participate in APRICOT meetings, events.
  • Contribute to the development of the Rehabilitation Ontology (REHABO); manage the issue tracker; create periodic releases; lead development meetings.
  • Contribute to the development of the Drug Ontology (DrOn); manage the issue tracker; create periodic releases; lead development meetings

General responsibilities:
  • Plan, design and execute complex research studies, procedures and protocols.
  • Participate in discovery projects.
  • Coordinate research study activities; lead and manage projects.
  • Oversee organization, synthesis and analysis of data and findings.
  • Prepare scientific reports, outcome findings and scientific manuscripts.
  • Participate in meetings with principal investigator and research staff in which you will evaluate/interpret the validity of data, develop methodologies, and design and evaluate lab procedures.
  • Maintain supplies, may require negotiation with vendors, and track purchase orders.
  • May oversee the work of laboratory personnel including training and development as well as daily work direction, delegation and establishing priorities.
  • Other duties as assigned.

Knowledge - Skills - Abilities
  • Required knowledge: ontology, terminology, controlled vocabularies, data models
  • Technical knowledge: Web Ontology Language, Protégé, GitHub
  • Strong interest in multi-disciplinary collaboration
  • Writing skills
  • Skills and abilities: presentation skills, organization, time management, multi-tasking.
  • Documentation and records management
  • Data utilization
  • Complex problem solving and critical thinking
  • Resource management

Qualifications
Minimum Required Education: PhD in a scientific field or MD
Minimum Required Experience: 0 years
Preferred Education: PhD in Biomedical Informatics or related field
Preferred Experience: Ontology, semantic web, referent tracking
Physical Requirements
Work requires occasionally lifting moderate weight materials, standing, or walking continuously.
Work Environment
Occasional exposure to dust, noise, temperature changes, or contact with water or other liquids. Work is performed in an environmentally controlled environment.
Sensory Acuity
Ability to detect and translate speech or other communication required. May occasionally require the ability to distinguish colors and perceive relative distances between objects.
Why MCW?
  • Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options
  • 403B Retirement Package
  • Competitive Vacation and Paid Holidays offered
  • Tuition Reimbursement
  • Paid Parental Leave
  • Employee & Family Assistance Program (EFAP)
  • Pet Insurance
  • On campus Fitness Facility, offering onsite classes
  • Additional discounted rates on items such as: Select cell phone plans, local fitness facilities, Milwaukee recreation and entertainment etc.

For a brief overview of our benefits see: Benefits Overview
For a full list of positions see: MCW Careers
At MCW all of our endeavors, from our internal operations to our interactions with our partners, are driven by our shared organizational values: Caring - Collaborative - Curiosity - Inclusive - Integrity - Respect. We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you. For more information, please visit our institutional website.
MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination:
The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.

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About Medical College of Wisconsin

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The Medical College of Wisconsin (MCW) is an industry-leading educational institution located in Milwaukee, WI, US. Being part of the medical and health services sector, MCW's primary mission is to educate and train the next generation of healthcare professionals. MCW offers a wide array of degrees and programs within medical and health sciences, covering everything from medical, graduate, pharmacy and health sciences studies, to continuing professional developments and community engagement initiatives. Founded in 1893, MCW boasts a rich, well-entrenched history in shaping the medical education landscape locally and globally. The institution's core values of knowledge-changing life underline its dedication to incorporating innovative approaches in education and research, commitment to diversity and inclusion, service to the community, integrity, stewardship, and collaboration.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

Year founded

1893

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