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Remote Amazon Data Annotation Jobs in Utah (NOW HIRING)

General Motors

Senior AI/ML Engineer

Salt Lake City, UT · On-site +1

$101.10K - $138.90K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from ...

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Remote Amazon Data Annotation information

What are the key skills and qualifications needed to thrive as a Remote Amazon Data Annotation Specialist, and why are they important?

To thrive as a Remote Amazon Data Annotation Specialist, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a high school diploma or relevant experience. Competence with web-based annotation tools, cloud-based platforms, and sometimes Amazon-specific data systems is typically required. Diligence, consistency, effective communication, and the ability to work independently are valuable soft skills in this role. These skills and qualities are important to ensure high-quality, accurate data labeling that supports effective machine learning and AI model development.

What are some common challenges faced by Remote Amazon Data Annotation specialists and how can they be addressed?

Remote Amazon Data Annotation specialists often encounter challenges such as maintaining consistency and accuracy across large volumes of data, managing repetitive tasks, and staying engaged while working independently. To address these, it's important to develop a strong attention to detail, utilize quality control tools provided by the platform, and take regular breaks to minimize fatigue. Additionally, staying connected with your team through regular check-ins and feedback sessions can help ensure alignment on annotation guidelines and improve overall performance.

What are Remote Amazon Data Annotation jobs?

Remote Amazon Data Annotation jobs involve labeling, categorizing, or tagging data such as images, text, or audio to help train machine learning models used by Amazon. Employees work from home using specialized tools to ensure accuracy and consistency in the data provided. These roles often require attention to detail, the ability to follow guidelines, and sometimes specific domain knowledge depending on the project. Data annotation is essential for improving the performance of AI systems in tasks like product recommendations, voice recognition, and search algorithms. These roles may be full-time, part-time, or project-based, offering flexibility for remote workers.

What is the difference between Remote Amazon Data Annotation vs Remote Mechanical Turk Worker?

AspectRemote Amazon Data AnnotationRemote Mechanical Turk Worker
CredentialsNo formal certifications required, but attention to detail helpsNo formal certifications required, basic task understanding needed
Work EnvironmentRemote, flexible hours, online platformRemote, flexible hours, online micro-task platform
Employer & IndustryAmazon, e-commerce, AI training dataVarious clients, data labeling, surveys, research

Remote Amazon Data Annotation involves labeling data specifically for Amazon's AI and e-commerce needs, often requiring attention to detail. Mechanical Turk workers perform a variety of micro-tasks across industries. While both are remote and flexible, data annotation is more specialized for AI training, whereas Mechanical Turk offers broader task types.

What are the most commonly searched types of Amazon Data Annotation jobs in Utah? The most popular types of Amazon Data Annotation jobs in Utah are:
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What job categories do people searching Remote Amazon Data Annotation jobs in Utah look for? The top searched job categories for Remote Amazon Data Annotation jobs in Utah are:
What cities in Utah are hiring for Remote Amazon Data Annotation jobs? Cities in Utah with the most Remote Amazon Data Annotation job openings:
Remote Amazon Data Annotation jobs near you
Remote Finance AI Quality Analyst & Modeling Expert

Remote Finance AI Quality Analyst & Modeling Expert

Data Annotation

Plain City, UT • Remote

$50 - $60/hr

Full-time, Part-time, Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Data Annotation is looking for finance professionals to join their remote team to help train AI models. The role allows for both full-time and part-time flexibility. Responsibilities include reviewing AI outputs related to finance and providing detailed feedback.

Ideal candidates have advanced degrees in finance and strong analytical skills. This is an independent contractor role with hourly pay starting at $50-$60. #J-18808-Ljbffr

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