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Full Time Amazon Data Annotation Jobs (NOW HIRING)

Telus Digital

$165K - $210K/yr

... the full AI data lifecycle from initial collection and annotation through to validation, fine ... Map the full Amazon organization to identify white space, emerging priorities, and expansion ...

Telus Digital

$165K - $210K/yr

... the full AI data lifecycle from initial collection and annotation through to validation, fine ... Map the full Amazon organization to identify white space, emerging priorities, and expansion ...

Welocalize, Inc.

Data Labeling Analyst

New York, NY

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Sesame

Technical Program Manager, Data

San Francisco, CA · On-site

$152K - $196K/yr

... managing full-time employees or contractors involved in data labeling. • Expertise in writing technical specifications for data annotation pipelines. Preferred : • Understanding of ML data ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

GE HealthCare

Data Manager - AI Development

$94K - $141K/yr

... annotation activities, and ensures data readiness, traceability, and compliance throughout the AI ... Please note - this is a full time, onsite role located in Waukesha, WI. Roles and Responsibilities ...

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Full Time Amazon Data Annotation information

Will Amazon pay you $28 an hour to work from home?

Amazon data annotation jobs are typically paid hourly, but the exact rate varies by position and location. While some roles may offer competitive pay, $28 an hour is not a standard rate for Amazon data annotation positions and may depend on experience, skill level, and specific job requirements. It is advisable to review current job postings for accurate compensation details.

Can you make a living off data annotation?

Full Time Amazon Data Annotation jobs can provide a steady income, but earnings depend on factors such as pay rate, hours worked, and experience. Many roles are part-time or freelance, so making a full living may require multiple positions or supplementary income sources. Developing skills in data labeling tools and maintaining consistent work can improve earning potential.

Does Amazon really pay people to work from home?

Amazon Data Annotation jobs are often offered as remote positions, allowing employees to work from home. These roles typically involve reviewing and labeling data using online tools and require a stable internet connection and attention to detail. Amazon provides training and flexible schedules for such remote data annotation work.

What is the difference between Full Time Amazon Data Annotation vs Full Time Amazon Data Labeling?

AspectFull Time Amazon Data AnnotationFull Time Amazon Data Labeling
Required CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentOffice or remote; computer-based tasksOffice or remote; computer-based tasks
Employer & Industry UsageAmazon; e-commerce and AI trainingAmazon; AI and machine learning data preparation
Common Search & ComparisonYesYes

Full Time Amazon Data Annotation involves reviewing and marking data to help train AI models, focusing on identifying specific features in images, videos, or text. Full Time Amazon Data Labeling also involves preparing data for AI but may include more detailed categorization or tagging. Both roles require similar skills and are essential for AI development within Amazon's ecosystem.

How much do Amazon data annotation jobs pay?

Amazon data annotation jobs typically pay between $12 and $20 per hour, depending on experience, location, and the complexity of the tasks. These roles often involve labeling images, videos, or text using specialized tools and may require attention to detail and basic computer skills.
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Full Time Amazon Data Annotation jobs near you
Client Success Director - Amazon

Client Success Director - Amazon

Telus Digital

On-site, Remote

$165K - $210K/yr

Full-time

Posted 15 days ago

TELUS Digital rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

87th of 208 rated it services

Job description

Who We Are
Welcome to TELUS Digital, where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada's largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Enterprise Technology, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.
From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are, all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
Location & Flexibility
This role can operate remotely within the US (we are prioritizing candidates based on the US West Coast) OR be based out of one of our major US office locations - Charlottesville, VA, Durham, NC, Columbus, OH, or Boston, MA.
The Opportunity
As Client Success Director for our Amazon relationship, you will serve as the primary commercial and strategic owner of one of our most critical and complex client partnerships. This is a hands-on, high-impact individual contributor role focused exclusively on deepening, expanding, and protecting our footprint within Amazon, spanning their AI, Alexa, AWS, and broader machine learning organizations. You will operate at the intersection of artificial intelligence, data operations, and enterprise account management, bringing a strong understanding of the full AI data lifecycle from initial collection and annotation through to validation, fine-tuning, and model evaluation.
Our service offerings span the breadth of what modern AI development demands. On the Generative AI side, we partner with clients to build human-aligned datasets for fine-tuning and evaluating large language models, supporting workflows including Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), red teaming, and bespoke dataset creation across more than 20 domains and 100 languages. We deliver data for AI & robotics to help robotics labs with sensor setups, hardware integration, foundational training/simulations, and real-world interactions. In the arena of data for search & ads we leverage two decades of experience in delivering uninterrupted data that powers the world's leading search and content platforms. Rounding out our portfolio, we offer a library of off-the-shelf datasets purpose-built for training and evaluating LLMs, computer vision models, and audio AI systems, providing clients with accessible, cost-effective solutions ready for immediate integration.
The ideal candidate will bring both technical fluency and a sharp client-facing mindset, with the ability to translate Amazon's complex, large-scale data requirements into scalable, high-quality solutions that deliver measurable outcomes across their AI development initiatives.
Responsibilities
Client Account Ownership
  • Serve as a key client success leader in the Amazon client account, responsible for retention, expansion, and net-new workstream growth across Amazon's AI and ML business units.
  • Build and maintain trusted relationships with AI, data science, product, and operations leaders across Alexa, AWS AI Services, Amazon AGI, and other relevant organizations.
  • Lead executive business reviews and strategic planning sessions that align TELUS Digital's capabilities to Amazon's evolving AI roadmap and data needs.
  • Map the full Amazon organization to identify white space, emerging priorities, and expansion opportunities across teams and business units.
  • Act as Amazon's internal advocate, surfacing insights that shape delivery execution, tooling priorities, and research investments.

Data & AI Expertise & Solutioning
  • Develop deep expertise across TELUS Digital's Data for Generative AI, Data Collection, Data Annotation, Data Validation, and Off-the-Shelf Datasets capabilities, including text, image, video, audio, and sensor data labeling, agentic AI workflows, and responsible AI practices.
  • Guide Amazon stakeholders in designing scalable, high-quality data programs aligned to their model training, fine-tuning, and evaluation objectives.
  • Partner with Solutions Architecture and Delivery teams to develop technically credible, customized proposals that address Amazon's unique and often large-scale data pipeline requirements.
  • Stay ahead of industry trends in AI training data, including emerging labeling methodologies, quality assurance frameworks, and the evolving regulatory landscape around responsible AI.

Forecasting & Operations
  • Maintain rigorous pipeline hygiene, forecast accuracy, and account health reporting using Salesforce.
  • Manage long-cycle renewals, expansions, and new statement-of-work negotiations with multiple Amazon stakeholders across business units and seniority levels.
  • Collaborate cross-functionally with Delivery, Solutions Architecture, Finance, and Legal to ensure seamless client experiences and commercially sound agreements.

Competencies
  • 7+ years of enterprise account management or strategic sales experience, with a strong preference for candidates who have worked directly with Amazon or other large-scale technology companies.
  • 2+ years of experience in Data Collection, Annotation, and/or Validation services, or adjacent AI/ML data services.
  • Deep familiarity with data workflows and quality frameworks across modalities, text, image, video, audio, and sensor data, and a strong understanding of how training data supports AI model development and evaluation.
  • Comfort discussing generative AI, agentic AI pipelines, and responsible AI principles with both technical and business audiences.
  • Demonstrated track record of growing complex, multi-stakeholder enterprise accounts with long sales cycles and large contract values.
  • Exceptional executive presence and communication skills, with the ability to engage credibly at the Director and VP level within a large, matrixed organization like Amazon.
  • Proficiency with Salesforce and enterprise account management methodologies.
  • A consultative, client-first approach, curious, solutions-oriented, and committed to understanding the client's business before proposing a path forward.
Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants' qualifications, merits, competence, and performance without regard to any characteristic related to diversity.
We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.
For more information on how we use your information, see our Privacy Policy

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