1

Flexible Amazon Data Annotation Jobs in Missouri

Pharmacy Manager, Amazon Pharmacy

Chesterfield, MO · On-site

$64.25 - $75.75/hr

... laboratory data, and concurrent medication (including over the counter and home remedies). • ... flexible schedule/shift/work area, including weekends, nights, and/or holidays - Doctorate or ...

Previous experience in data annotation, content moderation, quality evaluation, or AI/ML-related ... Flexible working structure suited to independent, remote professionals. * Opportunity to work on ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Transform safety data into compelling narratives that influence positive change and drive ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Leverage technology and data analytics to drive preventive safety measures that protect our ...

$81K - $111K/yr

Build, optimise, and maintain data models and analytical workloads in Amazon Redshift. * Develop ... Flexible working hours: Core working hours from 10:00 AM to 3:00 PM in your local time zone, with ...

... 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 ...

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 ...

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 ...

Success requires leveraging data-driven insights and understanding the importance of HR metrics to ... You will be expected to work onsite at an Amazon facility. Key job responsibilities - Improve site ...

... 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 ...

next page

Showing results 1-20

Flexible Amazon Data Annotation information

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 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.

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.

Can I work for flexible Amazon data annotation with no experience?

Flexible Amazon data annotation roles typically do not require prior experience, as they often involve simple tasks like image labeling or data categorization. Basic computer skills and attention to detail are usually sufficient, and training is often provided to new workers. However, some tasks may have specific requirements or preferred skills, so reviewing the job listing is recommended.

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 are popular job titles related to Flexible Amazon Data Annotation jobs in Missouri?

For Flexible Amazon Data Annotation jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Flexible Amazon Data Annotation jobs in Missouri look for?

The top searched job categories for Flexible Amazon Data Annotation jobs in Missouri are:

What cities in Missouri are hiring for Flexible Amazon Data Annotation jobs?

Cities in Missouri with the most Flexible Amazon Data Annotation job openings:

Lead Specialist, Federal Data Architect

KPMG

Saint Louis, MO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.
KPMG is currently seeking a Lead Specialist to join our Federal Advisory practice.
Responsibilities:
  • Support the delivery of data supply chain projects, including definition of objectives / key deliverables while managing and mitigating risks in data, modeling, validation, and delivery
  • Support workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities, define problem statements, and design high level analytical solutions
  • Engage with clients to discover data sources and create data requests; Engage in data discovery and ETL/ELT processes to ingest structured data and annotation processes to enrich unstructured data leveraging a variety of data sources (social media, news, internal / external documents, financial data, operational data)
  • Support the creation of analytics and machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Define, monitor, and report key business metrics
  • Design, implement, and manage various reporting processes and dashboards
  • Leverage a variety of modern big data tools and approaches to solve complex business objectives

Qualifications:
  • A minimum of five years of Data Architecture / technical experience; U.S. Federal government consulting experience preferred
  • Bachelor's degree from an accredited college/university
  • Familiarity with Data Lake / Data Warehouse architecture, design, implementation, dimensional modeling, data profiling, and source to target mapping best practices
  • Familiarity with data governance and management strategies, including data standards, data policies, metadata management, master data management
  • Experience utilizing data modeling tools such as ERWin, ER Studio, Power Designer, IBM Data Architect
  • Strong SQL skills and working knowledge of relational databases such as SQL Server, Oracle, PostgreSQL; knowledge of distributed databases such as Netezza, Teradata, Amazon Redshift etc.
  • Ability to travel as required to support firm engagements
  • Initial project will be located in the St. Louis, MO region, requires daily on-site presence
  • Applicant must possess a U.S. Government Secret clearance

KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M101ADV_3_26
KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.