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Overnight Amazon Data Annotation Jobs (NOW HIRING)

Amazon

Data Scientist, AWS Quick Data

Santa Clara, CA · On-site

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their ... Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance

Amazon

Data Scientist, AWS Quick Data

Santa Clara, CA · On-site

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their ... Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance

Amazon

Data Scientist, AWS Quick Data

Santa Clara, CA · On-site

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their ... Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance

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All JobsOvernight Amazon Data Annotation Jobs

Overnight Amazon Data Annotation information

How long is the Amazon overnight shift?

The Amazon overnight shift typically runs from around 10:00 PM to 6:30 AM, totaling approximately 8.5 hours. Shift durations may vary slightly depending on the facility and specific operational needs, and employees often work scheduled hours within this timeframe.

How much do Amazon data annotation jobs pay?

Amazon data annotation jobs typically pay between $10 and $15 per hour, depending on the complexity of the task and the employer. These roles often require attention to detail and familiarity with annotation tools, and pay rates can vary based on experience and location.

How much does Amazon pay for night shift?

Amazon data annotation jobs, including overnight shifts, typically pay around $15 to $20 per hour, depending on location and experience. Night shift roles often include a shift differential or bonus, which can increase overall pay. Exact rates vary by region and specific job postings.

What is the difference between Overnight Amazon Data Annotation vs Data Labeling Specialist?

AspectOvernight Amazon Data AnnotationData Labeling Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hours, overnight shiftsRemote or on-site, flexible hours
Industry UsagePrimarily e-commerce, AI training for AmazonVarious industries including AI, healthcare, automotive
Search & Comparison IntentUnderstanding overnight annotation roles for AmazonGeneral data labeling roles across industries

Overnight Amazon Data Annotation involves labeling data specifically for Amazon's AI and machine learning needs, often during overnight shifts. Data Labeling Specialist is a broader role that includes labeling data for various industries and projects, not limited to Amazon. Both roles require attention to detail and basic technical skills, but Overnight Amazon Data Annotation is more specialized for Amazon's e-commerce and AI training purposes.

Will Amazon really pay you to work from home?

Amazon Data Annotation jobs are typically remote positions that pay employees for their work from home. Workers are compensated for completing annotation tasks using specific tools and often need to meet productivity and quality standards. Payment is usually processed through direct deposit or other standard methods, depending on the company's policies.
More about Overnight Amazon Data Annotation jobs
What cities are hiring for Overnight Amazon Data Annotation jobs? Cities with the most Overnight Amazon Data Annotation job openings:
What are the most commonly searched types of Amazon Data Annotation jobs? The most popular types of Amazon Data Annotation jobs are:
What states have the most Overnight Amazon Data Annotation jobs? States with the most job openings for Overnight Amazon Data Annotation jobs include:
What job categories do people searching Overnight Amazon Data Annotation jobs look for? The top searched job categories for Overnight Amazon Data Annotation jobs are:
Overnight Amazon Data Annotation jobs near you
Infographic showing various Overnight Amazon Data Annotation job openings in the United States as of June 2026, with employment types broken down into 46% Full Time, 42% Part Time, and 12% Contract. Highlights an 90% Physical, and 10% Remote job distribution.

Technical Program Manager - Data Operations Lead

Zoox

Foster City, CA • On-site

$163K - $223K/yr

Full-time

Medical, Life, PTO

Posted 21 days ago

Job description

We are seeking an experienced and highly skilled operations leader to join the Perception Data and Labeling team. The team is responsible for training and evaluation data powering the perception (vision, lidar, and other modalities) ML models at Zoox. The candidate will work alongside ML engineers, product owners, data engineers, and external partners to scope and deliver high-quality training and evaluation data to help the Zoox Perception AI team meet critical deadlines.
In this role, you will:

  • Translate  and coalesce company-wide feature requirements into concrete and comprehensive data deliverables

  • Work collaboratively with AI teams, project management, and data annotation teams to manage the collection and labeling of training and evaluation data powering Zoox's AI perception stack. 

  • Manage vendor allocation and budgeting in conjunction with the milestone and release timelines at Zoox. 

  • Define and maintain clear tracking of outcomes, risk, and data quality to ensure transparency and accountability.

Qualifications:
  • Experience in Technical Program Management or Operations Strategy: 5+ years of experience managing complex, cross-functional programs within the technology, autonomous driving, or AI/ML sectors.
  • Perception & Sensor Domain Knowledge: Strong understanding of the machine learning development lifecycle (MLDL) and familiarity with autonomous vehicle sensor modalities (LiDAR, Radar, Camera, Thermal) and their respective data annotation requirements.
  • Strategic Capacity Planning: Demonstrated ability to translate high-level product roadmaps and engineering requirements into granular operational execution plans. Experience managing resource allocation and throughput for large-scale workflows.
  • Vendor Ecosystem Understanding: Experience overseeing large-scale vendor operations or managed service providers, specifically regarding quality, latency, and volume targets.
  • Data Literacy: Proficiency with SQL or Python/Pandas to query databases, analyze throughput metrics, and generate reports without needing engineering support.
$163,000 - $223,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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