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Flexible Amazon Data Annotation Jobs in Michigan

Pharmacy Manager, Amazon Pharmacy

Wixom, MI · On-site

$62.25 - $73.25/hr

... data - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays. - 1 year Staff Pharmacist experience within Amazon Pharmacy (if currently an Amazon employee) PREFERRED ...

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 ... 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 ... Transform safety data into compelling narratives that influence positive change and drive ...

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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 the most commonly searched types of Amazon Data Annotation jobs in Michigan?

The most popular types of Amazon Data Annotation jobs in Michigan are:

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

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

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

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

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

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

ADAS Data Platform Supervisor

Dearborn, MI • Hybrid

Ford Motor Company
Civil Engineering Construction • 51 - 200 employees

$129K - $244K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 12 days ago


Job description

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

In this position... 

Ford's ADAS team is pushing the boundaries of what's possible in semi-autonomous driving, developing industry-leading technologies like BlueCruise and Pre-Collision Assist. To support these features, we need robust, high-performance web applications and data services that allow our engineers and analysts to visualize, annotate, and interpret massive amounts of vehicle data.

We are seeking an Engineering Supervisor to lead a team engineers responsible for our internal full stack ecosystem. You will oversee the development of our specialized visualization tools and data annotation platforms that fuel our analytics engine. The ideal candidate is a systems-thinker who understands how to build scalable cloud infrastructure while optimizing for the unique challenges of streaming large-scale robotics data.

You'll have...

Bachelor's Degree in Electrical Engineering, Computer Science, or a related field

Deep expertise in Node.js and React frameworks.

Experience with Foxglove Studio or similar robotics visualization platforms (e.g., Webviz, RViz).

A strong understanding of server-client architecture

Proven experience deploying and managing full stack applications on private/public cloud

Proficiency handling large-scale multimodal data formats (mcap, rosbag).

A proven track record of mentoring junior engineers and providing effective leadership and technical vision for senior engineers.

The ability to distill high-level requirements and granular software implementation.

Even better, you may have...

Experience in the automotive or robotics industry.

Familiarity with ADAS concepts (perception, mapping, localization, path planning).

Experience building tools specifically for machine learning data pipelines.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, vision and prescription drug coverage

Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

Vehicle discount program for employees and family members and management leases

Tuition assistance

Established and active employee resource groups

Paid time off for individual and team community service 

A generous schedule of paid holidays, including the week between Christmas and New Year's Day 

Paid time off and the option to purchase additional vacation time. 

This position is leadership level 6 and ranges from $129,600-244,680.

For more information on salary and benefits, click here: https://fordcareers.co/LL6

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-RR1

What you'll do...

Lead, mentor, and grow a team of five full stack software engineers. You will be responsible for the career growth of junior developers and the strategic direction of senior individual contributors.

Take full ownership of our in-house visualization stack. This includes developing custom JavaScript extensions to overlay complex 3D data, such as integrating satellite imagery and map tiles with real-time vehicle perception data.

Oversee the development of web applications used by data analysts to annotate vehicle events. Ensure seamless integration between backend and frontend interfaces, managing the lifecycle of data from mcap files to ML training sets via automated workflows.

Own and maintain the backend multimodal file server. You will ensure the reliable streaming of data from our on-prem data centers to browser-based clients, optimizing for low latency and high concurrency.

Apply rigorous systems thinking to the software lifecycle. You will decompose complex implementation requirements from a clear Concept of Operations (ConOps) and ensure all features are validated against real-world ADAS needs.

Prioritize and enforce high standards for technical documentation to ensure the long-term maintainability of our tools.


Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982