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Freelance Amazon Data Annotation Jobs in Saugus, MA

Work with collaboration partners, agencies, and freelance relationships as needed to achieve ... Proactively leverage data, market insights, marketing tools and the spectrum of marketing channels ...

Work with collaboration partners, agencies, and freelance relationships as needed to achieve ... Proactively leverage data, market insights, marketing tools and the spectrum of marketing channels ...

Analyst

Boston, MA · Hybrid

$53K - $73K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Delve into Profitero's Amazon Sales & Share data and Digital Shelf metrics across multiple ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Analyst

Boston, MA · On-site

$53K - $73K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Delve into Profitero's Amazon Sales & Share data and Digital Shelf metrics across multiple ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Freelance Amazon Data Annotation information

See Saugus, MA salary details

$11

$20

$32

How much do freelance amazon data annotation jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for freelance amazon data annotation in Saugus, MA is $20.57, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $22.21 per hour, depending on experience, location, and employer.

What is the difference between Freelance Amazon Data Annotation vs Freelance Image Labeler?

AspectFreelance Amazon Data AnnotationFreelance Image Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageE-commerce, AI training datasetsAI training datasets, computer vision projects
Search & Comparison IntentUnderstanding data annotation roles for AmazonComparing image labeling jobs for AI training

Freelance Amazon Data Annotation involves labeling data specifically for Amazon's platform, often focusing on product images, reviews, or metadata. Freelance Image Labeler typically labels images for AI training across various industries. While both roles require attention to detail and remote work, Amazon Data Annotation is more specialized for e-commerce data, whereas Image Labeling covers broader AI applications.

How much do freelance Amazon data annotation jobs pay?

Freelance Amazon data annotation jobs typically pay between $8 and $20 per hour, depending on the complexity of the task, experience, and the platform used. Payments are often project-based or hourly, with some jobs offering bonuses for accuracy or speed. Rates can vary widely based on skill level and the employer's budget.

What cities near Saugus, MA are hiring for Freelance Amazon Data Annotation jobs?

Cities near Saugus, MA with the most Freelance Amazon Data Annotation job openings:

Technical Program Manager - Data Operations Lead

Zoox

Boston, MA

$163K - $223K/yr

Full-time

Re-posted 5 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.

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.