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Flexible 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 ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · Remote

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

TSMG

AI/ML Data Contributor

Miami, FL · Remote

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

TSMG

AI/ML Data Contributor

New York, NY

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

TSMG

AI/ML Data Contributor

Columbia, SC · Remote

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

TSMG

AI/ML Data Contributor

Des Moines, IA · On-site

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

TSMG

AI/ML Data Contributor

Miami, FL · Remote

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

TSMG

AI/ML Data Contributor

Des Moines, IA · Remote

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

TSMG

AI/ML Data Contributor

New York, NY · On-site

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

TSMG

AI/ML Data Contributor

Chicago, IL

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

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All JobsAmazon Data Annotation JobsFlexible Amazon Data Annotation Jobs

Flexible Amazon Data Annotation information

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.

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

To thrive as a Flexible Amazon Data Annotation Specialist, you need strong attention to detail, analytical skills, and the ability to accurately label and categorize data, often supported by at least a high school diploma or equivalent. Familiarity with Amazon's proprietary annotation platforms, basic data management tools, and sometimes workflow tracking systems is typically required. Excellent communication, time management, and the ability to work independently make someone stand out in this position. These skills ensure high-quality, consistent data labeling, which is crucial for training reliable machine learning models and supporting Amazon’s AI-driven products.

What are some common challenges faced in a Flexible Amazon Data Annotation role, and how can I prepare for them?

In a Flexible Amazon Data Annotation role, one common challenge is maintaining high accuracy while working with large volumes of data, often under tight deadlines. Adapting to evolving project guidelines and learning to use proprietary annotation tools efficiently are also typical hurdles. To prepare, familiarize yourself with data labeling best practices, develop strong attention to detail, and practice time management to ensure consistent productivity. Being proactive in seeking clarification when guidelines change and participating in any available training can also help you excel in the role.

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 entry-level data annotation work and may depend on experience, skill level, and specific project requirements.

What is a Flexible Amazon Data Annotation job?

A Flexible Amazon Data Annotation job involves labeling, categorizing, or identifying data (such as text, images, or videos) to help train artificial intelligence and machine learning models used by Amazon. Workers perform these tasks remotely and can often choose their own hours, making the job flexible and suitable for people seeking part-time or supplemental work. The tasks may include tagging products, categorizing content, or transcribing information, depending on the project requirements. Attention to detail and accuracy are important, as annotated data directly impacts the performance of Amazon's AI systems.

What is the difference between Flexible Amazon Data Annotation vs Data Labeler?

AspectFlexible Amazon Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAmazon and e-commerce platformsVarious industries including e-commerce, AI training
Job FocusAnnotating data for Amazon AI modelsLabeling data for machine learning models

Flexible Amazon Data Annotation involves annotating data specifically for Amazon's AI systems, often requiring familiarity with Amazon's platform. Data Labelers perform similar tasks across multiple industries, focusing on preparing data for machine learning. Both roles are remote, entry-level, and involve data annotation, but Flexible Amazon Data Annotation is more specialized for Amazon's ecosystem.

Does Amazon really pay people to work from home?

Amazon Data Annotation jobs are often remote positions that pay individuals to perform tasks such as image or text labeling from home. These roles typically require attention to detail and may involve using specific tools or platforms, with pay rates varying by task and location.

How flexible is data annotation?

Data annotation jobs, including flexible Amazon data annotation roles, often offer varying schedules such as part-time, full-time, or freelance options. The flexibility depends on the employer and project requirements, with many roles allowing remote work and adjustable hours to accommodate different availability and time zones.
More about Flexible Amazon Data Annotation jobs
What cities are hiring for Flexible Amazon Data Annotation jobs? Cities with the most Flexible 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 Flexible Amazon Data Annotation jobs? States with the most job openings for Flexible Amazon Data Annotation jobs include:
What job categories do people searching Flexible Amazon Data Annotation jobs look for? The top searched job categories for Flexible Amazon Data Annotation jobs are:
Flexible Amazon Data Annotation jobs near you
Infographic showing various Flexible Amazon Data Annotation job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution.
Client Success Director - Amazon

Client Success Director - Amazon

Telus Digital

On-site, Remote

$165K - $210K/yr

Full-time

Posted 26 days ago

TELUS Digital rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

92nd of 210 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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