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Data Annotation Tech Remote Jobs in Massachusetts

$165K - $210K/yr

... 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 ...

$165K - $210K/yr

... 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 ...

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Data Annotation Tech Remote information

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote Data Annotation Technicians, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What are popular job titles related to Data Annotation Tech Remote jobs in Massachusetts? For Data Annotation Tech Remote jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in Massachusetts look for? The top searched job categories for Data Annotation Tech Remote jobs in Massachusetts are:
What cities in Massachusetts are hiring for Data Annotation Tech Remote jobs? Cities in Massachusetts with the most Data Annotation Tech Remote job openings:
Infographic showing various Data Annotation Tech Remote job openings in Massachusetts as of June 2026, with employment types broken down into 62% Full Time, 29% Part Time, 2% Temporary, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Client Success Director - Amazon

Client Success Director - Amazon

Telus Digital

On-site, Remote

$165K - $210K/yr

Full-time

Posted 7 days ago


TELUS Digital rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

89th of 207 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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