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Entry Level Amazon Data Annotation Jobs (NOW HIRING)

Amazon

Principal Account Executive, Amazon Leo

Sep 17, 2026 Amazon Leo is looking for an experienced, self-starter Business Development ... We make "follow up" our business; taking time during a busy day to evaluate critical data points ...

Amazon

Principal Account Executive, Amazon Leo

Sep 17, 2026 Amazon Leo is looking for an experienced, self-starter Business Development ... We make "follow up" our business; taking time during a busy day to evaluate critical data points ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Work closely with the labeling and data operations teams to define robust data annotation ... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Work closely with the labeling and data operations teams to define robust data annotation ... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Work closely with the labeling and data operations teams to define robust data annotation ... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

SynergisticIT

data (Entry Level)

San Francisco, CA · On-site

$20 - $26.75/hr

For Data Scientists/Machine learning roles: * Python * Django * Deep Learning * NLP Benefits of ... Our Candidates always get projects with well-known IT firms like Google, Apple, PayPal, Amazon, etc ...

SynergisticIT

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

Hands on experience on platforms - Microsoft Azure/Amazon Web Services * Libraries - Numpy, Pands, Scikit learn, Seaborn, Plotly, TensorFLow, Should be able to do data visualisation using Tableau or ...

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Entry Level Amazon Data Annotation information

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How much do entry level amazon data annotation jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for entry level amazon data annotation in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What is an entry level Amazon data annotation job?

Entry level Amazon data annotation jobs involve labeling, tagging, categorizing, or otherwise annotating data such as images, text, or audio to help improve machine learning models and artificial intelligence systems. These roles typically require attention to detail, the ability to follow guidelines, and may involve repetitive tasks. No advanced technical skills are usually required, making them suitable for those new to the tech industry or individuals seeking remote and flexible work opportunities. Employees may work on platforms like Amazon Mechanical Turk or directly for Amazon’s internal data teams. This work is essential for ensuring the quality and accuracy of AI-driven products and services.

What are the key skills and qualifications needed to thrive as an entry level Amazon data annotation specialist?

To thrive as an Entry Level Amazon Data Annotation Specialist, you need attention to detail, basic computer literacy, and the ability to follow precise instructions, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and common office software like Excel is typically required. Strong communication, time management, and the ability to work independently are valuable soft skills in this role. These skills ensure accurate data processing, contribute to high-quality machine learning outputs, and help maintain productivity in a deadline-driven environment.

What are some common challenges faced by entry level Amazon data annotation specialists, and how can they be addressed?

Entry-level Amazon data annotation specialists often encounter challenges such as maintaining high accuracy while working with repetitive tasks, adapting to evolving project guidelines, and managing productivity targets. To address these, it's important to develop a strong attention to detail, seek clarification on ambiguous instructions, and utilize any available training or feedback sessions. Building a habit of double-checking your work and staying organized can also help improve both speed and quality, leading to better performance and growth opportunities within the team.

How much do entry level Amazon data annotation jobs pay?

Entry level Amazon data annotation jobs typically pay between $10 and $15 per hour, depending on the employer and location. These roles often involve labeling images, videos, or text to improve machine learning models and may require basic computer skills and attention to detail.

How much does entry-level Amazon Data Annotation pay?

Entry-level Amazon Data Annotation roles typically pay between $12 and $15 per hour, depending on location and company policies. These positions often require basic computer skills and attention to detail, with flexible schedules common in remote work environments.
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Entry Level Amazon Data Annotation jobs near you
Infographic showing various Entry Level Amazon Data Annotation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.

Data Collection Specialist (Household Task Video Contributor)

Remote

Careerflow
See more jobs at Careerflowexternal

Other

Posted 26 days ago

Job description

Data Collection Specialist

Careerflow.ai is hiring Data Collection Specialists to support robotics and embodied AI data collection projects. In this role, contributors will record first-person household task videos using an iPhone mounted on a head-worn capture device, helping generate high-quality real-world training data for robotics use cases.

This is a contract opportunity for reliable, detail-oriented contributors who can follow strict capture protocols, perform everyday household activities safely, and deliver consistent weekly output that meets project quality standards.

What You'll Do
  • Record first-person video of everyday household tasks using an iPhone/Android phone mounted on a head-mounted capture rig (which is easily available on Amazon/Walmart/etc.)
  • Perform structured activities such as cleaning, folding laundry, organizing items, food preparation, and similar home interactions relevant to robotics learning.
  • Follow detailed capture protocols for framing, motion quality, task execution, file naming, and submission requirements.
  • Review recordings for completeness and quality before upload, then transfer files to the designated storage platform on schedule.
  • Maintain consistent output each week and communicate promptly about blockers, device issues, or protocol questions.
Required Equipment
  • Access to an iPhone/Android phone capable of recording clear video in at least 1080p.
  • Willingness to place the iPhone/Android phone on a head-mounted capture device for recording sessions.
  • Comfortable home environment where assigned household tasks can be performed safely and repeatedly.
Required Qualifications
  • Strong attention to detail and ability to follow SOPs and technical instructions precisely.
  • Comfort using mobile devices, apps, and upload tools for data collection workflows.
  • Reliable time management and dependable weekly output.
  • Ability to perform light to moderate physical household tasks safely, including standing, reaching, grasping, and repeated motion.
  • Clear written communication for reporting issues and confirming submission status.
Preferred Qualifications
  • Prior experience with video data collection, annotation, robotics, motion capture, or embodied AI projects.
  • Familiarity with structured datasets, quality control processes, or action labeling workflows.
  • Experience working in remote contractor environments with defined weekly production targets.

Strong contributors produce consistent, usable recordings that clearly capture hand-object interactions and household behaviors from a first-person perspective. This data helps train robotics systems to better perceive, understand, and act in real-world home environments

Apply